Skip to main content

Unveiling the potential of microalgae for bioplastic production from wastewater – current trends, innovations, and future prospects

Abstract

Bioplastics derived from polyhydroxyalkanoates (PHAs) are among the promising substitutes for unsustainable petroleum-based polymers. PHA-based polymers demonstrate superior chemical and physical properties, such as hydrophobicity, insolubility in water, iso-tacticity, UV resistance, hydrolysis resistance, and absolute biodegradability. Compared with conventional plastics, bioplastics are more beneficial due to their reduced carbon footprint, energy efficiency, biodegradability, and biocompatibility, and have hence revolutionized the polymer industry. However, further research is needed to explore novel strategies to overcome their limitations, such as decreasing water absorption and brittleness, while increasing the crystallization ability and increasing the thermal degradation temperature. These constraints can be addressed by supplementing the bioplastic synthesis process with reinforcements and plasticizers. The development and adoption of biopolymers as an environmentally friendly and economically viable substitutes for synthetic plastics is imperative, considering the degree of the subsequent exhaustion of petrochemical supplies and the worldwide environmental contamination instigated by the industrial production of synthetic plastics. The goal of this appraisal is to provide an in-depth account of the most recent advancements in the generation of bioplastics derived from various wastewater streams via the use of microalgae, and subsequent harvesting technologies. Bioplastics from microalgae are of higher quality and are made of polymeric biomolecules and include polymers based on cellulose, starch, proteins, PHA, polyhydroxybutyrate (PHB), polyethylene (PE), polylactic acid (PLA), and poly vinyl chloride (PVC). Various types of bioplastic manufacturing methodologies have also been highlighted for researchers and capitalists alike to investigate ways to harness these renewable resources for the development of sustainable bioplastics. Additionally, various innovations, challenges, potential possibilities for the future, and life cycle evaluations of bioplastics are addressed.

Graphical Abstract

Introduction

The global worth of plastics and polymer-based products in the market surpassed 580 billion US dollars approximately in 2020, showing ~ 15.5% growth from the previous five years’ market size. Considering the ~ 37% increase in the production of plastics globally within the last 10 years, it is estimated that by 2028, the market size will increase by 3.4% compounded annually from 2021 to 2028, amounting to ~ 750 billion US dollars [1]. Traditionally, plastics are produced from fossil sources and possess the advantages of a long life-span and resistance to environmental degradation. These polymers also have the properties of high strength and toughness in addition to being lightweight and having low processing and production costs, making them convenient choices for use in various industries. However, the extensive use of fossil-sourced polymers that are hydrophobic and resistant to biodegradation, leads to deleterious environmental changes such as fossil fuel depletion, global warming, and pollution.

The economic and environmental management of waste generated postproduction and the use of plastics by consumers is one of the greatest challenges for economists, scientists, environmentalists and healthcare practitioners worlwide. The United Nations’ sustainable development goals (SDGs) are also aimed at the management and use of plastics for providing better health and well-being (SDG3), clean water and sanitation (SDG6), sustainable cities and communities (SDG11), responsible consumption and production (SDG12) of plastics, climate action (SDG13), protection of seas and oceans (SDG14), and the repair of ecosystems and biodiversity (SDG15) [2].

In the quest to find alternatives to conventional plastics, the development of biodegradable, eco-friendly materials called bioplastics has become a keen interest of researchers. Bioplastics are macromolecular biopolymers that are produced biologically or are biodegradable or both. The bioplastics of the new-age circular economy include polymers made from renewable resources. Common examples of bioplastics include biopolyamide (Bio-PA), biopolyethene (Bio-PE), biopolyethene terephthalate (Bio-PET), biopolypropene (Bio-PP), bio-polytrimethene terephthalate (Bio-PTT), cellulose acetate, polybutylene adipate-co-terephthalate (PBAT), polybutylene succinate (PBS), polyethene furanoate (PEF), polyhydroxyalkanoates (PHA), polylactic acid (PLA), poly-ε-caprolactone (PCL), and starch [3]. Considering their melting point, brittleness, toughness, blending capability with other polymers and production-processing costs, PHAs have emerged as the prominent choice of biologically derived aliphatic polyesters. Owing to their biodegradability under both aerobic and anaerobic conditions, PHAs are the most promising remedies for the significant ecological issues caused by conventional plastics, and are preferred alternatives to traditional petroleum-based plastics. They are made even better by the fact that they are derived from plant sugars, which are renewable and help reduce heavy reliance on fossil fuels. PHAs possess biodegradability and biocompatibility and are nontoxic and water-insoluble; however, they may be soluble in chloroform or chlorinated solvents [4].

PHAs are categorized based on the length of their side chains. They may be short chain (< 5 C-atoms, scl-PHAs), medium chain (5 to 14 C-atoms, mcl-PHAs), or long chain (> 14 C-atoms, lcl-PHAs) [5]. They have glass transition temperatures ranging from -50 to 4 °C and melting temperatures ranging from 40 to 180 °C, depending on their chemical constitution and C-chain length [4]. The mechanical and thermal attributes of these materials can be modified by altering the chemical constitution of these polymers to possibly substitute for traditional plastics. The nature and biological function of PHAs were not well understood when they were first detected in 1888. Beijerinck, discovered intracellular PHA inclusions in 1888 and characterized them as lipids. Thirty years after the experiment started, in 1923, Maurice Lemoigne extracted PHB from Bacillus megaterium under anaerobic starving conditions using hot chloroform. Lemoigne developed the empirical formula (C4H6O2)n and suggested that PHB functiones as a storage molecule [5]. PHAs are credited to Lemoigne as their creator because of his extensive study between 1923 and 1951. Lemoigne's theory was disproved in 1958 when Macrae and Wilkinson observed that PHB accumulated under high C:N ratio conditions and decomposed in the absenteeism of a carbon source. These observations supported the metabolic function of PHB as a storage molecule. Since 1959, PHAs have been sold commercially.

PHAs are polymers produced in vivo as polyoxoesters of hydroxyalkanoates, a polymerization catalyzed by microorganisms naturally to store carbon and energy. This synthesis occurs under conditions of carbon abundance coupled with a limitation in essential nutrients such as nitrogen, phosphorous, magnesium, or sulfur [6]. Microbiological processes are usually used to generate PHAs for sale. However, to better regulate the physicochemical qualities of the product, both enzymatic and chemical methods have been extensively studied. PHA synthases are known to recognize > 150 monomeric building units as likely substrates, although the majority of them have just been utilized in laboratory environments [7].

PHA bioplastics are versatile, and are useda in the medical field for drug delivery, tissue engineering, and medical devices, as well as in agriculture for seed encapsulation and as eco-friendly pesticide carriers. The biocompatibility and biodegradability of these materials make them ideal for applications such as surgical sutures and food packaging. Derived from renewable materials, PHAs support sustainable practices across various industries, contributing to a circular economy and reducing plastic waste [8, 9]. Due to the significant benefits and diverse applications of PHA bioplastics, many research efforts have been dedicated to improving microbial production methods to increase PHA yield. These biopolymers are synthesized in substantial fermenters by many bacteria such as Pseudomonas species, Ralstonia eutropha H16, Micrococcus, Microlunatus, Rhodococcus, Parapedobacter, and genetically modified Escherichia coli [10]. In PHA production through bacterial fermentation, the use of significant organic carbon sources, such as sucrose, sugar corn, vegetable oil and mineral salts, accounts for the higher production cost and competition for substrates with the surrounding food sector, thus limiting its industrial application as a polymer compared to some commonly used petroleum-derived plastics. A different method for PHA production involves the use of microalgae, the microorganisms as a part of the phytoplankton community, generate biomass by utilizing light and atmospheric CO2 as their sole energy sources [11]. Microalgae, which encompass eukaryotic algae and cyanobacteria, are currently being employed as potential sources of PHA due to their rapid growth rate, significant biomass production, cheap substrate utilization and non-interference with food and feed stock. These can be utilized either directly as biomass in bioplastic production or indirectly through the extraction of starch and PHBs from their cells. Among the various microalgae species, Chlorella and Spirulina are the most studied because they typically have small cell sizes (˃50 µm), making these microalgal biomasses ideal for packaging and coating applications where fine particle size is a crucial requirement [12].

PHA production by microalgae faces significant challenges, particularly a low production rate compared to that of their bacterial counterparts [13, 14]. Therefore, optimizing autotrophic PHA production is crucial for increasing the intracellular concentration of PHA and reducing production costs, making it a competitive alternative. In this context, utilizing wastewater effluents as a nutrient source is a cost-effective and eco-friendly option for producing microalgal biomass [12]. Microalgae are prevalent in our environment and contain polysaccharides that can be used to produce biopolymers. These fast-growing organisms are found in wastewater streams. The synthesis of PHA can be achieved by hydrolyzing wastewater microalgal biomass [15]. In the biological treatment of wastewater, activated sludge efficiently converts degradable substances into PHA, which serves as a granular internal storage material for microorganisms. Microorganisms may adapt to various external environmental conditions, such as high temperatures, dryness, H2O2, UV light, and osmotic pressure due to the internal carbon and energy sources provided by PHA. Various techniques of treating wastewater and complex community patterns in activated sludge systems lead to different anabolic processes in PHA. Both the concentration of activated sludge and the community's substrate preferences impact the amount and constitution of PHA in the sludge [16].

Recent works have quoted the use of various strains of microalgae, feedstocks, production processes and conversion technologies in PHA synthesis and yet, the ideal bioplastic is far from achieved that proves as a 100% replacement for the conventional fossil-based polymers with economic sustainability. Hence, the comprehension of existing research, that may fuel further studies providing a focused approach toward the production of novel biopolymers with wider industrial applications is needed. Thus, the present review provides an in-depth understanding of the production processes and applications of PHA based bioplastics produced by microalgae, and the integration of microalgae-based PHA production with wastewater treatment processes and further summarizes the present as well as future possible innovative technologies to improve bioplastic production in terms of efficiency and sustainability. This study also explains the limitations and environmental implications of PHA bioplastics in terms of life cycle assessments of their environmental footprint.

Integration of microalgae-based PHA production with wastewater treatment processes

In recent decades, growing concerns over climate change and pollution from human activities have propelled microalgae into the spotlight as a promising solution. Microalgae offer a unique biological platform to mitigate carbon dioxide emissions while also producing valuable compounds for various industries, including pharma, food-feed, bioenergy and biopolymers. Despite this potential, the large-scale industrialization of microalgae cultivation and utilization faces significant challenges, particularly in terms of economic feasibility and productivity. Efforts to enhance resource efficiency are crucial for overcoming these challenges, as they can reduce manufacturing costs and improve the long-term sustainability of microalgae-based products. One effective strategy is the use of wastewater as a nutrient source, which not only lowers production expenses but also addresses the pressing issue of global water shortage. Wastewater, with its high salt and organic content, is a valuable resource with multiple uses [17, 18]. Microalgae cultures have emerged as a sustainable solution for treating wastewater, offering the capacity to break down complex contaminants in tertiary and quaternary treatment processes and promotes the concept of circular economy in a sustainable manner [19]. The use of microalgae in wastewater treatment systems provides a sustainable solution by effectively removing pollutants, lowering operational costs, and generating eco-friendly by-products, all while contributing to carbon capture efforts (Fig. 1).

Fig. 1
figure 1

Benefits of harnessing microalgae in wastewater treatment process [19]

Recently, various wastewater types have been employed to cultivate algal biomass for phycoremediation. Wastewater is categorized by its origin: municipal (households), agricultural (farming and livestock), and industrial (manufacturing processes) with its composition varying according to its source. The presence of significant volumes of both organic and inorganic nutrients in these wastewaters can lead to ecological imbalances because of their high levels of chemical and biological oxygen demand (COD) and BOD [19]. One of the most challenging environmental issues in the world is water eutrophication, which is caused by an excess of nutrients, especially phosphorus (P) and nitrogen (N). The composition of wastewater significantly impacts the growth of microalgae, the rate of pollutant remediation and the production of biopolymer molecules. The ability of microalgae to remove pollutants and survive depends on a number of factors, including the carbon source, organic or inorganic carbon, macronutrients, nitrogen, phosphorus, micronutrients, vitamins, and trace elements in wastewater [20, 21]

Various studies have examined the buildup of bioplastics from microalgae cultured in municipal wastewater [22,23,24,25,26,27]. Kavitha et al., [28] investigated the utilization of sewage wastewater to cultivate a microalga Botryococcus braunii for polyhydroxybutyrate (PHB) production, highlighting its potential for eco-friendly plastic synthesis. The study showed that pH, temperature, and substrate concentration notably influence PHB yields, with a 60% wastewater concentration enhancing PHB production thus demonstrates the efficient integration of algae-based PHB synthesis with wastewater treatment processes.

The process of bioplastic production from municipal wastewater involves two main steps: first, converting sludge from wastewater treatment into volatile fatty acids (VFAs) via anaerobic digestion, with primary sludge yielding up to 40% COD conversion to VFAs. Second, VFAs are converted into biopolymers (PHA) through aerobic fermentation by pure or mixed microbial cultures. Pilot tests have achieved a maximum PHA concentration of 15% of the dry cell mass, under different environmental conditions (pH, temperature, nutrient limitations) [28]. Mahapatra et al., [29] investigated the efficacy of a large-scale algae-based sewage treatment plant (STP) in India, highlighting the traditional use of lagoons for decentralized sewage treatment. The STP, operating without external energy inputs, demonstrated moderate performance with notable removal efficiencies for COD (60–50%) and BOD (82–70%).

Researchers have also investigated the production of valuable bioproducts, including PHA-bioplastics from microalgal biomass grown in urban wastewater [25, 30, 31]. One crucial aspect of microalgae treatment is the nutritional makeup of various urban wastewaters. To achieve wastewater discharge criteria, different categories of wastewater should be mixed to balance the ratio and concentration of nutrients. It is important to consider how newly discovered contaminants may affect how well microalgae treatments work [21]. Table 1 summarizes the sources of various wastewaters, composition, and microalgal treatments of these wastewaters.

Table 1 Sources, composition, and microalgal treatment of various wastewater types

High-rate algal ponds (HRAPs) are a type of photosynthetic system treating wastewater using microalgal-bacterial consortia. They are widely used around the world for two purposes: either directly treating wastewater before it is discharged into surface waters, or pretreating wastewater in conventional wastewater treatment plants. They are typically operated in open environments with sunlight shining on them, liquid heights between 0.3 and 0.6 m and a variety of mixing systems, such as paddle wheels, submersible jet mixers, or low energy algae reactor mixers [54, 55]. Almeida et al., [56] explored the production of PHA using phototrophic mixed cultures (PMCs) enriched in phototrophic purple bacteria (PPB) within HRAPs for wastewater treatment. Operational strategies like phosphate cycling and switching from low to high organic loading rates improve PHA accumulation. The transition from selection under low organic loading rate to high organic loading rate resulted in improved PHA production. PMC has potential for PHA production from complex wastewater feedstocks under outdoor conditions, leveraging sunlight as an energy source. This highlights the importance of operational strategies and feeding methods in optimizing PHA productivity and wastewater treatment efficiency [56].

Wastewater-grown algal biomass for PHA bioplastic production offers numerous advantages (Fig. 1). However, the process can be complex to manage due to the need for specific conditions to optimize both the bioplastic yield and wastewater treatment. Additionally, the variability in wastewater composition can affect the consistency and quality of PHA production. Managing the cocultivation of microalgae and bacteria for efficient treatment and PHA synthesis is also challenging, requires careful control of environmental parameters. Further research is needed to optimize the process, address safety concerns associated with using different categories of wastewater, assess the technoeconomic landscape—particularly focusing on PHAs—and explore new strains for implementing the integrated biorefinery concept. These strategies could enhance profitability in this area and drive industrial transformation for microalgae-mediated biopolymer extraction from wastewater effluents [57].

Overview of PHA Bioplastic production (pathways)

PHAs are produced by microalgae through complex metabolic processes influenced by environmental factors and nutrient levels. When nutrients such as nitrogen or phosphorus are limited, microalgae generate PHAs as energy storage molecules by altering their metabolic pathways. When nutrients are abundant, the focus shifts to protein synthesis for cell growth, leading to a reversible change in metabolism. Different types of microalgae accumulate PHAs under various growth conditions [58].

Biological synthesis of PHA from microalgae

Microalgal PHA generation involves a complex series of biochemical pathways. Many studies have proposed that microalgal PHA production occurs under nutrient-deficient conditions, such as limited nitrogen and/or phosphorus. When microalgae face these nutrient limitations, their basal metabolism is redirected to create carbon-rich compounds, including PHAs, that are used for energy storage. Microalgae utilize different metabolic pathways, such as fatty acid metabolism, to produce the necessary precursor molecules for PHA synthesis (Fig. 2).

Fig. 2
figure 2

Synthesis of PHAs in Microalgae

The main precursor for PHA biosynthesis is acetyl-coenzyme A (acetyl-CoA), a molecule derived from the breakdown of carbohydrates or fatty acids through various metabolic pathways [59]. The synthesis of PHAs involves a series of enzymatic reactions. The key enzymes involved include the following:

  1. (i)

    β-ketothiolase (encoded by the phaA gene): catalyzes the condensation of two molecules of acetyl-CoA forming acetoacetyl-CoA.

  2. (ii)

    NADPH-dependent acetoacetyl-CoA reductase (encoded by the phaB gene): converts acetoacetyl-CoA to D-3-hydroxybutyryl-CoA.

  3. (iii)

    PHA synthase (encoded by the phaC gene): catalyzing the binding of D-3-hydroxybutyryl-CoA to an existing PHA molecule, forming the polymer chain via an ester linkage.

In addition to the traditional method, there are numerous other biosynthetic pathways for PHA synthesis. These pathways differ depending on the substrates, enzymes, and microorganisms involved. Because it can polymerize 3-hydroxyalkanoate (3HA) units via many pathways, including the pathways for fatty acid β-oxidation, the methylmalonyl-CoA, and the de novo fatty acid synthesis pathway, the enzyme PHA synthase is essential for PHA synthesis [60, 61]. PHA synthases are classified into four groups according to the substrate specificity and subunit makeup of each class [62]. The class I PHA synthases, composed of a single subunit (phaC) with molecular weight of 64 kDa, polymerize short-chain-length-3HA (C3-C5) units. Class II PHA synthases are also composed of a single subunit (PhaC) with a comparable molecular weight of approximately 63 kDa, polymerizes medium-chain-length-3HA (C6-C14) units. Class III and Class IV PHA synthases are heteromeric with Class III being composed of two subunits (PhaC, PhaE) with molecular weights of approx. 40 kDa each and polymerizing short-chain-length-3HA units. Class IV, needs additional subunits (composed of either PhaC, E or Pha C, R) to function and polymerize short-chain-length-3HA to medium-chain-length-3HA and short-chain-length-3HA alone, respectively [63].

Acetyl-CoA, a precursor metabolite for the PHB synthesis pathway is derived from the Krebs cycle. This pathway is an important metabolic hub in cells that uses oxygen to produce energy. PHAs are also produced during lipid metabolism. During β-oxidation of fatty acids, different HAs are produced through bioconversion of alkanes, alkenes, and alkanoates. Acetyl-CoA intermediates of the β-oxidation pathway are channeled to R-hydroxyacyl-CoA by the enzyme enoyl-CoA hydratase. PHA synthase then polymerizes R-hydroxyacyl-CoA into PHAs. Glycolic precursors and fatty acid biosynthesis intermediates are also converted into 3-hydroxyacyl-CoA and then polymerized into PHAs by PHA synthase [64].

Polyhydroxyalkanoates are naturally found in microalgae, but their concentration is typically quite low, often below ten percent of the cell's dry weight, which is considerably less than what is found in other microbes such as bacteria [65]. The literature has revealed that under standard growth conditions, PHA producing microalagal strains have natural PHA levels between 3.5% of their dry weight [66]. Other research has documented PHA levels in microalgae to be under 9% of their dry weight. However, these concentrations can notably increase when the culture conditions are optimized [65, 67]. Optimizing culture conditions such as ample light and carbon sources, optimal pH and salinity, and the appropriate concentration of nutrients in the growth medium are crucial for enhancing PHA production [68]. Altamira-Algarra et al. [69] optimized nutrients, temperature, and light to enrich a cyanobacteria-dominated microbiome for enhanced polyhydroxybutyrate (PHB) production. Over 197 days in a 3 L photobioreactor, the microbiome achieved up to 22% PHB dry cell weight, despite the presence of green algae. These results indicate that culture composition is crucial for maximizing PHB yield. Researchers are also investigating the potential of coculturing microalgae with other microorganisms to create a more efficient and sustainable production system. Since microbial mixed cultures can be run in open systems without any concern of maintaining pure culture, and can use inexpensive by-products and waste streams as feed, thus their use in PHB production has the potential to significantly lower operating costs compared to those of pure cultures [69,70,71].

Once PHAs are synthesized and accumulate within microalgae cells, the biomass needs to be harvested and pretreated followed by extraction of PHA and purification [72]. The extraction processes often involve the use of solvents, and innovative strategies are being explored to make this step more efficient and environmentally friendly. Biomass drying, especially for certain microalgae such as Spirulina, can contribute significantly to the overall production cost. Drying methods need to be energy-efficient to enhance the economic feasibility of PHA production [73].

The extraction and purification of PHA from microalgae involve several methods aimed at the efficient recovery and purification of the polymer from microbial cells. Various physical, chemical, and biological approaches are employed for primary cell disruption to release internal components (lipids, proteins, and pigments) and enhance the PHA yield. Physical methods include bead milling, high-pressure homogenization, high-speed homogenization, homogenizer mills, pulse electric field, thermal treatments, and ultra-sonication. These methods efficiently disrupt microbial cells, aiding in the recovery of PHA [74,75,76,77,78,79,80]. Combining appropriate chemical methods with mechanical extraction can enhance recovery without altering the polymer's features. Chemical methods of PHA extraction comprise the usage of solvents such as acetone, chloroform, methyl isobutyl ketone, surfactants, and others to interact with cell membranes, alter membrane phospholipids and aid in product recovery [81]. Surfactants such as hexadecyltrimethylammonium bromide (CTAB), dodecyltrimethylammonium bromide (DTAB), and myristyltrimethylammonium bromide (MTAB) are commonly used [82]. Sodium dodecylbenzenesulfonate (SDS) has also been utilized for the cell disruption of Nannochloropis salina microalgae [83]. Solvent extraction is the most commonly used chemical method utilizing solvents such as chloroform, hexane, methanol, and ethanol, achieving purity levels greater than 90% [65, 84]. The Soxhlet and Folch methods are commonly used in solvent extraction. The Folch method is a two-step method in which chloroform/methanol with a 2:1 ratio is used. In the Soxhlet method, petroleum ether or hexane are used for the extraction of components via reflux in solvents [85]. The Folch technique of extraction yields a higher product yield [86]. The polyhydroxyalkanoates from Spirulina sp. were extracted using methanol and sodium hypochlorite, and a purity of 63.51 to 93.62% was attained [87]. PHA was also extracted from Cupriavidus necator using nonchlorinated solvents such as cyclohexanone and γ-butyrolactone [88]. PHA could be recovered from a mixed culture of activated sludge with up to 98% purity by using acetone and butanol [89]. However, the use of alkalis such as NaOH or KOH is one of the most popular and least expensive ways to extract PHA [90]. Supercritical fluid extraction (SFE) with CO2 has also shown promise in PHA extraction [91].

Biological lysis methods are used when there is requirement of less energy and process to be operated under mild conditions. Biological lysis involves the use of enzymes to hydrolyze PHA-containing cells under mild conditions with high selectivity resulting in high-quality polymer recovery. Enzymes like lysozymes, cellulases, glucanases, nucleases, and proteases, when used in combination with mechanical and chemical methods, enhance PHA recovery [92]. Longer treatment time, optimal conditions, high levels of product inhibitions are some of the drawbacks that hinder their utilization in industry [92]. However, a combination of mechanical, chemical and enzymatic methods is commonly employed at biorefinery for the highest recovery of the desired product. Table 2 provides a comparative analysis of key PHA extraction methods. These methods utilize different techniques to extract biopolymers from microalgae biomass, offering advantages such as reduced extraction time, environmental friendliness, and improved extraction yields compared to traditional methods.

Table 2 Evaluation of various PHA extraction techniques

After extraction, PHA is purified using techniques such as ammonium sulfate precipitation, ultrafiltration, electro membrane filtration, aqueous two-phase separation, and a three-phase partitioning system to obtain high-purity PHA [99,100,101,102,103]. The extracted PHAs undergo purification processes to remove pigments and other impurities without degrading the polymer [64]. These approaches highlight advancements in sustainable bioplastic production processes, leveraging microalgae as a capable feedstock for PHA manufacturing. The integration of optimized extraction and purification methods is crucial for scalable and efficient PHA bioplastic production [104].

Factors influencing PHA production efficiency

The competent industrial generation of PHA and accurate regulation of PHA constitution via fatty acid metabolism are currently under considerable research. Comprehending the β-oxidation cycle and the biology of PHA synthesis in cellular inclusions is crucial for achieving high yields and specific PHA traits. The use of cultivation strategies such as altering nutritional medium, adding acetate and propionate, raising salt levels, restricting gas exchange, and utilizing wastewater is vital for maximizing PHA concentrations. The selection of efficient strains enhances polymer production, resulting in PHA yields between 5.0% and 70% based on dry microalgae cells.

PHA synthesis is affected by elements such as the carbon-to-nitrogen ratio, nutrient availability, fermentation type, and fermenter activities. Nitrogen availability is essential for microbial growth and the production of PHA [105]. The carbon-to-nitrogen (C/N) ratio, phosphate concentration and C/P ratios have a considerable impact on the efficiency of PHA synthesis and the composition of the polymer. A low C/N ratio is beneficial for cell growth since nitrogen is essential for protein synthesis and cell proliferation. Increased C/N ratios encourage the accumulation of PHA, leading to a reduction in microbial protein synthesis and a shift of resources towards PHA production.. Altering the C/N ratio can lead to variations in polymer traits, such as adjustments in hydroxyvalerate (HV) concentration. Khatami et al. [106] reviewed that generation of PHA can be doubled if carbon and nitrogen were individually introduced into the bioreactor, and the polymer thus produced was altered by increasing the HV concentration by 82%, hence proving that the properties of the polymer can be manipulated through altering C/N ratios.

Microalgae accumulate PHAs when exposed to nutritional deficiency or environmental stress conditions for upto 80% of their cell weight. For instance, N-deficiency triggered PHA generation of 5.8 mg/g cell weight in Arthrospira platensis, P-deficiency caused PHA accumulation of 29% w/w in Scenedesmus sp., and medium supplementation with sugar hydrolysates increased PHB generation in Chlorococcum sp. [107]. Adetunji and Erasmus [107] have further summarised how the modulation of PHA production by microalgae is possible through altering various conditions like nitrogen limitation, phosphorus deprivation, dark conditions, media supplementation (acetate, citrate, dipotassium phosphate, D-xylose, propionate, sodium bicarbonate, valerate or 3-hydroxyvalerate), aeration, and saline conditions.

Altering the substrates also affects the constitution of the microbial communities, which in turn modulates the first step in PHA production, i.e. acidogenic VFA generation. Lagoa-Costa et al. [105] used a PHA producing acidogenic bioreactor for treating wastewater form cheese whey and breweries, to study the changes in the microbial consortia in response to alteration in the constitution of feedstock. They observed that as the ratio of wastewater increased in proportion to the organic content the bacterial consortia changed drastically in their constitution, with emergence of even unidentified strains, and acidification decreased simultaneously. Although all ratios between wastewater and organic load led to similar PHA production, but the monomeric constituents were slightly different.

pH plays a significant role in the production of PHA, as mentioned by Montiel-Jarillo [108], who reported that a wider pH range during the accumulation stage of activated sludge fed acetate led to increased polymer content in the biomass, whereas alkaline pH values led to decreased PHA levels. Monshupanee et al. [109] discovered that maximizing PHB accumulation during production may be accomplished by adjusting the acetate supply, light and nutritional conditions, and heterotrophy in the dark. The composition of the feedstock also contributes to the overall production of PHA. In 2016, Cui et al. examined how acetate, glucose, and starch affected three halophilic microbial mixed cultures (MMCs) in the enrichment phase. PHA production from the starch-enriched microbial population was 27.3%, while reactors fed glucose and sodium acetate generated 64.7% and 60.5% cell dry weight (CDW) of PHA, respectively [110]. The type and structure of the polymers produced are influenced by the characteristics of the raw materials. studied how different substrate ratios of acetate and propionate mixtures affected the concentration and components of PHA in a mixed microbial culture (Fig. 3). Increasing the 3HV % in the poly(3-hydroxybutyrate-co-3-hydroxyvalerate) polymer might enhance the flexibility and resistance, thereby expanding its range of uses [111]. The amalgamation of feedstock can influence the prevalence of specific genera during the enrichment phase of MMC operations. Research on the use of several low-cost feedstocks for the production of PHA has led to changes in the dominant bacterial groups in the microbial community [112]. Recently, microalgae have become the preferred biofactories providing biomass as a carbon source, feedstock because of the increased production of carbohydrates, absence of lignin, and economic availability of sugars for fermentation when integrating with bacterial PHA production.

Fig. 3
figure 3

Factors affecting PHA production and yields

Microalgal PHA production is modulated through the use of additives. Polymers and chemicals can be blended with microalgae such as Chlorella or Spirulina or both, to produce PHAs with enhanced thermochemical and mechanical properties. These additives include PP, PE, PVA, wheat gluten, acetone, sodium sulfite, etc. Choice of additive depends upon the desired quality of bioplastic produces, for instance, PVA is used to increase strength and flexibility, whereas adding maleic anhydride further improves structural stability. Similarly macromolecular plasticizers can be blended to improve processibility, flexibility, extensibility of the bioplastic. Glycerol, a plasticizer, facilitates the degradation of macromolecules during the PHA production process by improving their availability. Although the microalgae can be easily cultivated, they still need basic nutrients (like nitrogen, phosphorus, carbon), light, oxygen (aeration) and carbon dioxide. Further, it also matters whether the microalgae are grown in open ponds or closed photobioreactors [104].

Comparison with traditional plastic production methods

When comparing bioplastics with conventional plastics, assessment of their environmental influence from manufacture to discarding becomes vital (Fig. 4). One of the main methods used to evaluate this impact is Life Cycle Assessment (LCA) or cradle-to-grave analysis. Assessing the environmental impacts of a product involves analyzing each stage of its life cycle, initiating with extraction of raw materials to processing, manufacture, distribution, and use [113]. Traditional plastics and bioplastics are manufactured through different processes and using different raw materials, resulting in varying environmental impacts, resource utilization, and sustainability levels. Derived mainly from fossil fuels like crude oil and natural gas, traditional plastics consist of polyethylene, polypropylene, polyvinyl chloride, and other materials. Bioplastics are sourced from renewable materials like plant starch, sugarcane, corn, or another biomass. Some common types are polylactic acid (PLA), PHA, and bio-PE made from sugarcane. Traditional plastics undergo intricate chemical transformations to convert fossil fuels into polymers, typically involving high temperatures and pressures, leading to the release of greenhouse gases. Bioplastic production typically includes fermentation or extraction processes to acquire polymers from natural sources, resulting in a lower environmental influence in relation to energy usage and greenhouse gas discharges [114].

Fig. 4
figure 4

Comparison of Traditional Plastics with Bioplastics

The energy consumption associated with traditional plastics is significant, primarily driven by the refining of crude oil, transportation of raw materials, and energy-intensive chemical processes. Bioplastics strive to reduce energy consumption, particularly when made from agricultural feedstocks that require minimal processing. Traditional plastics have a limited biodegradability, leading to long-term environmental pollution. Recycling rates differ, with a notable amount ultimately going to landfills or becoming litter, which adds to environmental pollution. Bioplastics serve as environmentally friendly alternatives to conventional plastics, known for their lower carbon footprint and lack of toxic components. The environmental benefits include decreased greenhouse gas emissions, quick biodegradability in a matter of months, and reliance on renewable resources like plants and bacteria [115]. PLA-based biopolymers exhibit a biodegradability rate of 84%, and decompose within 60 days, whereas PHB-based counterparts break down in just over three months. When evaluating biodegradation potential, it is important to track oxygen consumption, carbon dioxide production, and analyze gases released during decomposition in different environments [116]. Bioplastics exhibit a notable energy efficiency edge compared to traditional plastics because of their reduced production energy demands. By opting for PLA instead of PET, energy consumption can be reduced by approximately 40%, and using Master-Bi bioplastics instead of PE can result in a 27% decrease [117]. Developing bioplastics with biodegradability or composability is gaining traction as a promising option to reduce environmental harm when they reach the end of their life cycle. There are different types of bioplastics with various end-of-life options, including recycling or composting, that could enhance waste management sustainability. Bioplastics generally offer environmental advantages over traditional plastics, especially when derived from sustainable and renewable sources [118]. Nevertheless, issues like competing with food production for feedstocks and high industrial-scale production expenses must be tackled for wider acceptance. The traditional and bioplastic industries are both advancing, with continuous research and technological progress being key to enhancing the sustainability of plastic materials.

Microalgae as a sustainable feedstock

Advantages of using microalgae in PHA production

The accessibility of cellulose in microalgae, coupled with their rapid growth, makes them attractive as a feedstock for various processes, including the synthesis of PHAs. Microalgae show great potential as a sustainable source for producing bioplastics, with several benefits compared to conventional agricultural sources. They are available year-round and may thrive in many water bodies, including sewage water, unlike plant-based bioplastics. Due to their quick growth and shorter harvesting period, these plants are very efficient, with biomass production rates that can be 5–10 times faster than those of food crops [119]. Microalgae farming is non-competitive with food resources, alleviating worries about resource depletion and supporting sustainable development. These adaptable organisms can withstand extreme circumstances like high temperatures and humidity, and effectively absorb carbon dioxide from the atmosphere, helping to decrease greenhouse emissions. Microalgae-derived biopolymers such as starch, PHB, PHA, lipids, and proteins have exceptional biodegradability, rendering them appropriate for many commercial uses including food packaging and agriculture. Additionally, the significant protein and lipid levels found in microalgae make them highly beneficial for producing biopolymers such as PHB, which helps in promoting a more eco-friendly and enduring future [120]. Microalgae can be utilized either as biomass directly or indirectly by extracting starch and PHBs from their cells [121].

Species of microalgae suitable for bioplastic synthesis

There are approximately one million species of algae, categorized as macroalgae and microalgae. Microalgae, small organisms, use solar energy for making ATP and survive in both freshwater and marine conditions and their products are usually known to contain carbohydrates (5%–23%), lipids (7%–23%), and proteins (6%–52%). Chlorella, a spherical single-celled green microalgae, present in freshwater sources, and containing approximately 58% protein, is commonly utilized for commercial purposes in open ponds [104]. Along with rapid proliferation rate Chlorella also has high level of saturated and unsaturated C18 fatty acids, which are identical to those in vegetable oils. This substance is commonly used as a dietary supplement and shows promise as a potential alternative to oil. The material demonstrates increased resistance to breakage as it has compact cell wall with excellent thermal endurance. This type is frequently employed in biomass-polymer combinations. Chlorella vulgaris is known for its production of high-quality bioplastic. Starch, a biopolymer derived from microalgae biomass of C. sorokiniana, is extensively used in the bioplastic, chemical, and culinary, industries because it has higher gelatinization temperature [122]. Arthrospira (Spirulina) is a type of filamentous cyanobacteria commonly found in salt lakes and freshwaters. Arthrospira is recognized for its high protein and vitamin content and can be mass-produced, making it ideal for open pond cultivation. Despite having less lipid, Arthrospira biomass can accumulate significant quantities of carbohydrates when exposed to dietary stress, making it a useful feedstock for the production of bacterial PHA [123].

Chlorella fritschii and Phaeodactylum tricornutum have the potential to generate PHB levels between 10.6% and 17% of their dry weight. Calothrix scytonemicola, Neochloris oleobundans, and Scenedesmus almeriensis have been identified as suitable candidates for biopolymer production due to their high starch or PHA content [104]. Another microalgae that are commonly present in both freshwater and brackish water habitats is Nannochloropsis. It has been used in biopharmaceutical applications for bioactive chemicals and has garnered interest in aquaculture feed and biodiesel generation because to its rapid growth, more lipid content, and ability to withstand various irradiation settings [124]. Phaeodactylum tricornutum is a remarkable marine diatom known for its unique characteristics, including the capability to thrive without silicon. This product includes beneficial components such as fucoxanthin, eicosapentaenoic acid, and chrysolaminarin. Phaeodactylum tricornutum is regarded as a typical species of non-green algae because of its biomass composition, which is very suitable for many uses [125]. Overall, microalgae are excellent choices for biomass production because of their distinctive characteristics and diversity, which might be valuable in various applications, such as PHA synthesis (Table 3).

Table 3 Biomass yield, PHA content, and growth conditions for various microalgal strains

Microalgae as a feedstock for microbial fermentation to produce PHA

More than 300 microbial species including bacteria, archaea, microalgae and cyanobacteria have been discovered that produce PHAs as intracellular granular aggregates. Common bacterial species engaged in PHA fermentation include novel and recombinant strains of Bacillus, Cupriavidus necator, Escherichia coli, and Pseudomonas. Since the production costs of producing PHAs from bacterial fermentation costs 2–5 times the production costs of conventional plastics, the potential of photoautotrophic microalgae as bio-factories of carbon rich feedstocks have recently been explored to serve as biomass sources in PHA bioreactors. Microalgae provide carbohydrate rich and lignin free feedstocks, facilitating economic recovery of fermentable sugars. Afreen et al. [127] proposed a hybrid system consisting of ‘two modules’ – photoautotrophic microalgae/cyanobacteria and heterotrophic bacteria cultured with different types of regimes to develop the most efficient method of PHA production. The short chain length copolymer PHA poly(3-hydroxybutyrate-co-3-hyroxyvalerate) or P(3HB-co-3HV, is the most commonly produced bacterial PHA using microalgal biomass. Its properties like flexibility, 148–168 °C melting temperatures and − 5.5 to − 2.2 °C transition temperatures, make it an economically profitable ideal candidate to substitute conventional plastics. Recent advances have also utilised wastes from algal biodiesel industries rich in glycerol as carbon sources for bacterial PHA generation [126]. Table 4 enlists various microalgae that are being utilised as biomass feedstocks to produce carbohydrates for bacterial fermentation culminating in production of PHAs.

Table 4 List of microalgae and bacterial systems for PHA production

Direct bioplastic synthesis using microalgae

Recent research has investigated several techniques for manufacturing bioplastics from microalgae, such as hot moulding, compression, melt mixing, injection moulding, and solvent casting [104]. Chlorella and Spirulina are extensively researched microalgae because of their diminutive cell sizes, which enhance matrix dispersion when combined with polyolefins. An 80% polyethylene mixing ratio results in equivalent modulus readings and more tan delta observations for both Spirulina and Chlorella. Spirulina has improved blending attributes at 50% and 65% polyethylene ratios due to the hydrophobic, nonpolar amino acids present and the enhanced contact between polyethylene and Spirulina. Chlorella has improved performance at polyethylene concentrations of 20%, 35%, or 80%, behaving more like a filler than a distinct phase [12].

Spirulina has excellent mixing properties because of its unique physicochemical characteristics. Research indicates that Spirulina platensis boasts a notable protein content and is well-suited for creating bioplastic blends. When Chlorella and Spirulina are combined with PE, their unique amino acid compositions result in distinct behaviors and bioplastic capabilities. By incorporating compatibilizers, the properties of Chlorella-based bioplastics can be improved. Studies in this field primarily focus on the production of bioplastics using Chlorella and Spirulina, with some studies exploring other types of microalgae [128].

Current trends in PHA bioplastic applications

PHAs represent a fascinating category of biodegradable polymers and show alike thermoplastic characteristic as petrochemical plastics. They exhibit a varied range of characteristics making them suitable for various applications as depicted in Fig. 5.

Fig. 5
figure 5

Applications of polyhydroxyalkanoates

PHA in food Packaging application

PHAs are increasingly being recognized for their potential in the packaging industry, particularly due to their biodegradability and excellent barrier properties. These materials find application in a range of packaging types, including bags, films, and containers. Glass, metal, paper, polymers, and wood are examples of traditional packaging materials that are commonly divided into primary, secondary, and tertiary categories [129]. Primary packaging comes into direct contact with the material itself whereas, secondary and tertiary packaging assist in the transportation and handling of these goods. The transition from conventional plastic materials, such as polypropylene (PP), polyethylene (PE), and polyethylene terephthalate (PET), to bioplastics like PHAs is seen as a promising solution to address environmental concerns and reduce reliance on fossil fuels [130]. However, PHAs only constituted 1.4% of the global bioplastics production in 2018, largely due to high production costs [131].

PHAs are good water barriers because of their hydrophobic qualities, which are vital for applications involving food packing [132]. Within the PHA family, short-chain-length variants like PHBs are notable and stands out due to their plasticity, ease of processing, and compatibility with common manufacturing techniques such as injection molding and thermoforming. Their biodegradability and the ability to sartor their mechanical properties make them suitable for use in food packaging [133]. Research has also underlined the potential of PHAs as a sustainable alternative to traditional plastics in food packaging [134]. Enhancements through the incorporation of nanoparticles and composite materials have been explored to further enhance these properties [133]. Additionally, recent advancements in PHA-based packaging include active packaging techniques with antioxidant and antimicrobial functions, and use of high-barrier packaging to extend food shelf-life [135].

Further innovations like use of cross-linking agents in starch/PHA blends have shown improvements in thermal stability, elasticity, and compatibility, enhancing the functional properties of PHA films [136]. Despite these advancements, challenges persist such as the economic competitiveness with traditional plastics and aspects of PHA biosynthesis and purification remain significant hurdles [133]. Efforts to improve the cost-effectiveness of PHA production are ongoing, focusing on the use of inexpensive carbon sources and the use of high-yielding strains [137]. While there are still many challenges to overcome, use of PHAs in food packaging has considerable benefits. More research and development is needed to address the current limitations and fully realize the benefits of PHAs as a sustainable and environmentally friendly alternative in the food packaging industry [138].

Biomedical applications

PHAs have shown great potential in various medical applications, including drug delivery, tissue engineering, and medical implants [139,140,141]. Their biocompatibility, biodegradability, and ability to be customized make them suitable for these purposes. In particular, PHA-based scaffolds have been used in tissue engineering for bone graft substitutes, cardiovascular patches, and nerve repair [141], moreover they have the inherent characteristic of biocompatibility achieved via the degradation of molecules naturally existing in the body, like PHBs, that yields R-3-hydroxybutyric acid, a prevalent component in blood. The biodegradable nature of these materials renders them well-suited for making drug carriers and delivery, biocontrol agents and adhesives for dressings [142,143,144,145]. Similarly, polylactic acid (PLA) has been used in controlled drug delivery systems and as temporary extracellular matrices in tissue engineering [146].

Tissue engineering

In the domain of tissue engineering, the integration of biopolymers serves as a strategic approach to circumvent immunogenic reactions induced by conventional biogenic materials due to non-specific host response [147, 148]. The compositional diversity and amenability to functional modifications render biopolymers particularly versatile in this domain [149]. Their array of attributes, ranging from biocompatibility, biodegradability, and hydrophilicity, to non-toxicity and porosity, renders them as attractive candidates across numerous biomedical applications. Notably, the interplay of hydrophobicity with biocompatibility and non-toxicity assumes paramount importance in select applications where hydrophobicity is a defining requirement [150, 151].

Among the various PHAs, Poly-4-hydroxybutyrate (P4HB) is extensively studied for tissue engineering applications. The incorporation of 4HB monomer units increase the degradation rate under in vivo conditions, resulting in superior biocompatibility, non-toxicity, non-carcinogenicity, and non-genotoxicity [152, 153]. Moreover, adjustment of the 4HB monomer ratio renders the material to become more elasticized, expanding its utility in healthcare [154].

P(3HB-co-4HB) electrospun fibers, due to their high elasticity and low crystallinity, significantly accelerated wound healing [155]. Patients treated with cell-loaded fibers displayed a 3.5-fold quicker recovery than those treated with control eschar membranes, achieving complete healing in 14 days, compared to 90% and 70% healing achieved after use of cell-free fibers and control meshes, respectively [155]. Additionally, more success has been achieved with use of PHA biocomposites in tissue engineering and repair [156, 157]. Vigneswari et al. [158] used a biocomposite created by integrating P(3HB-co-4HB) nanofibers with collagen peptides. This enhanced adhesion and growth of murine fibroblast and keratinocyte cells, leading to a higher healing rate of 98% compared to 63% with gauze. Sharifulden et al. [156] used P(3HB-co-4HB) copolymer with addition of sol gel derived bioactive glass and graphene particles for tissue regeneration. This biocomposite speed up the healing process and improve color distinction while lowering the response of inflammatory cells, thus suggesting critical use of PHAs in enhancing cell proliferation and tissue regeneration.

PHA finds extensive application in various biomedical contexts in isolation and in combination with other materials, including sutures, dressings, and patches, as evidenced by the PHA produced Bacillus cereus MCCB 281 [159, 160]. Furthermore, the versatility of PHAs extends to scaffold production for regenerative medicine, necessitating ultra-high-purity variants to meet stringent biomedical standards [161, 162].

Drug Delivery system (DDS)

Drug delivery systems (DDS) composed of biodegradable polymers, should leverage their capacity for self-assembly into drug-loaded nanocarriers. PHAs have been identified as ideal candidates for producing nanoparticles (NPs) and serving as scaffolds for drug elution due to their flexibility, durability, biocompatibility, and biodegradability [163]. Literature has reviewed PHA-based therapeutic drug delivery nanosystems, highlighting their potential to increase therapeutic benefits of various pharmaceutical drug [164,165,166]. Integration of Melittin, a powerful anticancer agent into a PHA microsphere carrier produced Mel-PHA-PhaC-nanostructure. The Mel-PHA-PhaC-nanostructure exhibited greater stability against pancreatic enzymes and enhanced inhibition of cancer cells compared to free Melittin [167]. PHA nanoparticles could also enhance image-guided therapy in drug delivery systems. Tanaya et al. [168] examined the application of fluorescent-pigmented PHA nanoparticles in DDS, a safer and more effective alternative to conventional imaging agents such as fluorescent dyes, quantum dots, and metal nanoparticles those suffer from cytotoxicity, carcinogenicity, and reduced photostability. In such cases, PHA nanoparticles could significantly improve image-guided therapy in DDS. However, research is lacking to validate their safety, biocompatibility and clinical effectiveness for use in human trials. Tanaya et al. [169] evaluated the fluorescent pigmented PHB nanoparticles from Rhodanobacter sp. strain KT31 for drug delivery and bioimaging. The PHB NPs demonstrated non-cytotoxicity, significant cell proliferation, and promising potential for biomedical applications. Additionally, PHA nanoparticles were also employed for breast cancer treatment, further highlighting their versatility in DDS [170,171,172].

The potential of PHA-based nanocomposites in drug delivery systems is notable due to their unique properties and potential applications [171, 173,174,175,176,177]. To produce materials with improved qualities and functions, these nanocomposites mix natural polymers called biopolymers, with nanoparticles or other materials at the nanoscale [174]. Masood et al. [178] showed that folic acid-grafted poly(3-hydroxybutyrate) and poly(3-hydroxybutyrate-co-3-hydroxyvalerate) nanocomposites resulted in sustained release of chemotherapeutic drug molecules to selectively kill a high proportion of human breast cancer cell lines. Furthermore, PHA microspheres and copolymers have also been proven effective in antibiotic delivery and infection treatment [179,180,181,182,183].

Medical implants

Biobased polymers are often considered superior materials for two types of implantable medical devices: stents and adhesion barriers. In terms of stiffness and elongation at break, many of these biopolymers fall short compared to metallic stents, despite continuous improvements in polymer production and medical device design [184]. But in terms of biocompatibility, biodegradation, and lowering arterial ruptures, they outperform metal stents.

PHAs, being of biological origin, exhibit inherent biocompatibility, making them suitable for medical devices like surgical sutures and dental implants. Their ability to degrade within the body minimizes long-term side effects, rendering them suitable for applications where permanent devices are not ideal. PHAs offer advantages for medical implants due to their biocompatibility, biodegradability, and customizable physicochemical properties, enabling the production of tailored shapes and sizes for particular applications [185,186,187]. Further, PHB and its copolymers based medical implants present several advantages, including high biocompatibility, strength, and gradual disintegration, making biopolymers suitable for the production of a broad variety of resorbable medical devices [188, 189].

PHA bioplastic in agricultural and horticultural applications

One of the primary applications of PHAs in agriculture is in the production of mulch film used to cover soil surfaces, retain moisture, control of weed growth, moderating and maintaining soil temperature, and structure [190]. Unlike traditional plastic mulches, PHA-based mulching films degrade naturally after use, eliminating the need for manual removal and disposal [191]. Mulch films crafted from Nodax™ P(3HB-co-3HHx) and Mirel™ PHB have been developed. Further, Havens et al. [192] patented a modified fishing gear incorporating a component composed of PHA, designed to biodegrade in aquatic environments. Moreover, PHA bioplastics are utilized in crop protection applications, including agricultural nets, covers, and barriers, PHA-based irrigation systems, such as drip tapes and micro-sprinklers, and production of biodegradable soil amendment products, such as erosion control blankets, sediment barriers, and biodegradable stakes. These goods support sustainable land management techniques in agriculture, lessen soil erosion, and enhance soil structure [193,194,195,196,197].

In horticulture, PHA bioplastics play a crucial role in facilitating sustainable cultivation practices while minimizing environmental footprint. Greenhouse films made from PHAs offer excellent light transmission, thermal insulation, and durability, creating optimal growing conditions for plants while reducing energy consumption [9]. Moreover, PHA-based pots, trays, and plant containers provide viable alternatives to traditional plastic containers, offering biodegradability and eco-friendliness without compromising functionality. These bioplastic containers can be used for seedling propagation, transplanting, and retail packaging, contributing to the overall sustainability of horticultural operations [193]. Additionally, PHA bioplastics are employed in the production of biodegradable mulch films for use in nurseries, landscaping, and ornamental plant cultivation. These mulch films provide weed suppression, moisture retention, and soil protection benefits while degrading naturally over time, leaving behind no harmful residues [197,198,199].

Innovations in PHA bioplastic research

Innovations in microalgal bioplastic production revolves around various strategies enhancing both the efficiency and sustainability of the process (Fig. 6). One prominent avenue involves genetic engineering or genome editing to optimize microbial strains for increased bioplastic synthesis [104]. Researchers are manipulating genetic pathways involved in lipid and polymer biosynthesis, aiming to boost the production of biopolymer precursors such as PHA within microalgae [200, 201]. Another innovation towards ecologically sustainable bioeconomy is use of machine learning (ML) along with internet of things (IoT) to generate algal bioplastics and cultivate algae on large scale [202].

Fig. 6
figure 6

Innovations in PHA Bioplastic Production

Additionally, there’s a shift towards utilizing waste streams or waste water for microalgal cultivation, thereby mitigating environmental impact and reducing production costs [203]. Furthermore, researchers are investigating novel extraction and purification methods to isolate bioplastic efficiently from microalgae, aiming for scalable and cost-effective processes [125, 204,205,206]. Overall, these multidisciplinary efforts aim to establish microalgae as a sustainable and economically viable source for bioplastic production, contributing to the advancement of the circular bioeconomy and reducing reliance on fossil-based plastics.

Genetic engineering approaches and role of Internet of Things (IoT) and machine learning (ML) for enhancing PHA bioplastic production by microalgae

PHAs, made via genetically engineered systems like bacteria, microalgae, and plants, offer a sustainable alternative to petrochemical-derived plastics [207]. With more than 155 unique PHA monomers synthesized by various microorganisms, PHAs exhibit a wide range of modifiable material properties in addition to being environmentally benign [208]. Among PHAs, polyhydroxybutyrates (PHBs) have been extensively studied, and exhibit a high degree of crystallinity because of their linear chain structure and combination of crystalline and amorphous phases. It can be found as a pure polymer or as an ingredient in blends and copolymers [9]. In microorganisms, PHB production involves enzymatic processes catalyzed by three vital enzymes: β-ketothiolase (phaA), acetoacetyl-CoA reductase (phaB), & PHB polymerase (phaC). These enzymes sequentially condense acetyl-CoA molecules to form PHB polymers, which accumulate as amphipathic granules within the cell [209]. Genetic manipulation techniques have enabled the transfer of PHB biosynthesis pathways from bacteria like Ralstonia eutropha into microalgae, such as Chlamydomonas reinhardtii and Phaeodactylum tricornutum [125, 201]. Chlamydomonas reinhardtii, a model organism with a fully sequenced genome, has been extensively studied for its ability to produce PHBs through genetic engineering. Successful incorporation of PHB biosynthesis genes, such as phbB and phbC, from R. eutropha inside C. reinhardtii has resulted in detectable PHB production [148]. Similarly, Phaeodactylum tricornutum has shown promising results with approximately 10.6% PHB achieved after pathway incorporation from R. eutropha H16 [125].

Researchers have explored various genetic engineering strategies and microbial species to enhance PHA synthesis. Synechocystis sp. PCC 6803 is among the most extensively studied microalga for genetic modification aimed at enhancing its ability to produce PHA. Researchers have thoroughly investigated this strain’s growth conditions, metabolic processes, and methods for introducing foreign genetic material. Notably, it was the initial photosynthetic organism to have its entire genome sequenced and analyzed, which included the identification of genes responsible for both PHA production and breakdown enzymes [210]. Table 5 summarizes some key insights from various studies based on Synechocystis sp.and other microalgae that showcase genetic engineering methods used and their outcome of PHA production.

Table 5 Genetic engineering-based approaches for making PHA bioplastic

Genetic engineering techniques have revolutionized PHA production in microorganisms and microalgae, offering sustainable solutions to plastic pollution and resource depletion. Continued research efforts aimed at optimizing biosynthesis pathways and enhancing genetic manipulation tools hold the key to unlocking the full potential of PHAs as eco-friendly alternatives to traditional plastics. Because algae have a simpler genetic makeup than plants and other creatures of complexity, genetic alteration of algae is more straightforward. However, genetic engineering involves screening numerous mutants and isolating desired strains, which is time-consuming and requires specialized equipment and kits. Large-scale cultivation of genetically modified algae faces challenges like varying environmental conditions and contamination risks, as these strains are initially developed in controlled laboratory settings. They are also associated with safety concerns such as potential ecosystem risks, gene migration, and allergic reactions from modified algae [211, 212]. It is evident that despite numerous challenges, genetic engineering offers significant potential for bioplastic production in microorganisms including microalage, thus necessitating rigorous testing under field-like conditions to address real-world challenges.

Furthermore, advancements in genetic engineering technologies, including clustered regularly interspaced short palindromic repeats (CRISPR)/Cas9 (RNA guided cleaving enzyme) systems, have facilitated targeted gene editing and pathway optimization in microalgae. By using CRISPR-Cas9, researchers can target specific genes responsible for PHA production, such as PHA Synthase, in microorganisms to improve the quality and quantity of PHAs, resulting in the development of high-value bioplastics. Studies demonstrate the potential of CRISPR/Cas9 technology in C. reinhardtii for precise gene knockouts and homologous recombination, paving the way for enhanced PHA production [225,226,227,228,229]. Besides C. reinhardtii, this gene editing tool has been applied to other microalgal strains like Nannochloropsis, Phaeodactylum, and Thalassiosira, through methods such as knock-in, knock-out, and knock-down of target genes [230, 231]. However, research on the use of CRISPR-Cas9 for algal genome editing is still in its early phases, and not much progress has been made subsequently.

Role of Internet of Things (IoT) and machine learning (ML)

Multiple studies have explored the part of Internet of Things (IoT) and machine learning (ML) for increased bioplastic making from algae [232, 233]. Specifically, studies have investigated microalgal strain identification, classification, optimizing microalgae cultivation, and developing bioplastics using artificial intelligence (AI), ML algorithms and IoT technologies [234,235,236,237]. Integrating ML technologies has shown potential for refining sustainability and competence of bioplastic generation from algae, with applications in strain selection, growth prediction, resource optimization, and decision support systems. Lim et al., [238] demonstrated that ML is highly effective in identifying and classifying microalgae with precision exceeding 90%. This capability enhances bioplastic production by optimizing strain selection based on predictive models of desirable traits. ML also aids in forecasting microalgae growth, enhancing resource allocation, and reducing waste [239]. These algorithms have the potential to improve the quality of the finished product by forecasting its characteristics and functionality. This will increase the products' dependability and acceptance in the market [240]. Many studies have explored this potential: Wong et al. [241] examined the amalgamation of Industry 5.0 along with macroalgae biorefineries, demonstrating specifically potential enhancements in sustainability, cost-effectiveness, and revenue potential. – Otálora et al. [236] showcased the efficacy of AI systems in classifying plastics, contributing to the advancement of microalgae cultivation techniques. These studies collectively emphasize the potential of IoT and ML technologies to revolutionize the bioplastics industry and contribute to a sustainable circular economy.

Although integration of ML and AI into the identification and sorting of microalgae represents significant progress, yet persistent impediments remain. These include challenges such as balancing precision with complexity, substantial capital requirements, and the dependence on methods for preprocessing [202]. Moreover, misclassification may result from overlapping species and inherent variances among microalgal species, and sparse datasets might cause the model to overfit or underfit. In order to drive progress in the development of bioplastics made from algae and machine learning, scientists need to address these obstacles directly and develop novel approaches. This calls for improvements in image capture and processing methods in addition to the creation of more resilient algorithms that can manage big datasets and automatically extract features. In addition, developing adaptability, encouraging data exchange, and improving AI model assessment procedures will be essential to enhance microalgal species identification systems that have widespread and real-world applications. If these challenges are addressed, the manufacturing of algae bioplastics and algal biorefineries using ML and AI has the potential to significantly impact the circular economy and contribute to a more sustainable future.

Environmental impact and sustainability

The concerns over the effects of plastic waste on the environment and greenhouse gas emissions associated with plastic use are also driving the shift to a circular economy. Three guiding concepts underpin the circular economy: slashing waste and pollution, replenishing materials and products, and regenerating the environment. The circular economy can promote social justice, protect the environment, and accelerate economic growth when it is planned meticulously and inclusively. The European Commission developed a strategy on plastic in a circular economy that emphasizes the development of innovative and alternative feedstocks for plastics production [242].

Biodegradability and compostability of PHA bioplastics

Bioplastics, as part of a circular economy, have the potential for more sustainable and profitable life cycles (Fig. 7). Bioplastics are bio-based polymers; the most often utilized form being PHAs [115]. Owing to their biodegradability, high mechanical and tensile strength, and lack of toxins, PHA bioplastics are an excellent alternative to commercial plastics. Microalgae have tremendous potential to be used for making bioplastics due to their quick growth, easy development, and minimal nutrient, and growth requirements [243, 244]. The microalgal- derived bioplastics over the conventional plastics have a low carbon footprint, and have significantly less greenhouse gas (GHG) emission. Additionally, microalgae have no competition with agriculture for freshwater resources or fertile land, and can well be grown in a variety of environments, including wastewater. This makes them an environmentally friendly method of producing bioplastics. The microalgal-derived bioplastics because of their superior strength, pliability, renewability, and durability finds applications in a diverse array of industries, such as food, agriculture, and pharmaceuticals. The environment and the characteristics of biopolymers greatly influence how quickly they break down [245]. The biodegradability of the plastic is primarily dependent upon its chemical composition. There are many mechanisms through which bioplastic undergoes biodegradation such as fouling, hydrolytic, and corrosion [246]. Mixing bioplastics with polymeric substances such as starch and cellulose can improve the mechanical properties and extend the lifespan [115].

Fig. 7
figure 7

Bioplastics and the circular economy concept

Life cycle assessments and environmental footprint

Life-cycle assessment (LCA) is an effective approach for evaluating a process or product's economic and environmental performance. In the case of bioplastic production, LCA helps in the evaluation of the environmental impact of different types of polymers and determines the benefits of using biopolymers before advocating for their widespread use, besides guiding in making decisions processes, and supporting the use of eco-friendly materials [247]. LCA is also an invaluable tool in estimating the profound impact on the product by various environmental factors such as GHG emission, consumption of energy, and other resources [248, 249]. There are four analytical phases of the LCA methodology that are connected by iterative cycles [250]. The phases are comprised of analysis of the Life cycle inventory, assessment, and interpretation of life cycle impact along with the definition of the assessment's objectives and scope (Fig. 8). The analysis phase complies and quantifies the pertinent inflows and outflows from the processes that help sum up the product's life cycle under study [251]. Every flow that relates to the mass or number of materials, energy, and emission aspects for each life cycle and its related activities is identified, measured, and compiled for the finalization of the Life cycle inventory. The selection of various impact categories as well as the indicators, and characterization models is the first stage of the assessment step. Based on the classification technique, the analysis results are allocated towards different impact categories. After the calculation of the analysis result, based on the assumption of a cause-effect relationship, the characterization model converts the results into common units [252]. Ultimately, the design project is completed through an equitable comparison of competing options that are functionally comparable. LCA software tools have become immensely important in the last few years. There are several software tools currently in use, such as Boustead, GaBi, OpenLCA, SimaPro, and Umberto [253, 254]. For sustainability and LCA evaluation, OpenLCA and SimaPro are used. These programs analyze the results and place them on a map and identify key drivers of the life cycle [255]. For designing, planning, and production GaBi software is used. GaBi software improves the process sustainability by giving users access to both simple as well as extensive LCA [256]. Likewise, Umberto software minimizes carbon emissions and maximizes resource and energy efficiency by evaluating the environmental effects in accordance with ISO 14040 and ISO 14067 [257].

Fig. 8
figure 8

Life Cycle Assessment (LCA) Methodologies

Potential for reducing plastic pollution and greenhouse gas emissions

There are few LCA studies that have been published on microalgal-based bioplastics. Bussa et al. [258] conducted a comparison between PLA production derived from microalgae and plant-derived sources. The results indicated that microalgae can considerably improve the environmental impact in terms of terrestrial ecotoxicity and land use. Beckstrom [259] discovered that cyclic flow photobioreactors had higher impact values than combined systems and open raceway ponds. Medeiros et al. [260] analyzed that microalgal biofuels fared marginally better than fossil fuels in comparison to conventional fuels, moreover, microalgal production systems can significantly reduce GHG emissions [260, 261]. Draaisma et al. [262] state that while the production of food items using microalgae-based manufacturing shows beneficial outcomes with regard to land use, other effect categories—like freshwater demand—show less of an improvement.

The current research focuses primarily on government regulation as a means of combating plastic pollution, but a notable research gap exists in the study and exploration of novel and sustainable materials to build a strong circular economy [263]. Although PHAs have a wide range of applications due to their characteristics, further study is required to maximize extraction and improve purity and yield. The incorporation of Machine learning and the Internet of Things for microalgal-derived bioplastic can go a long way in creating a more sustainable future. Also, combining (ML) with cutting-edge analytical techniques like thermogravimetric analysis (TGA) may improve process efficiency and help create a sustainable circular economy. However, issues including scalability, affordability, and infrastructure development must be resolved if microalgal bioplastics are to reach their full potential [263]. While ML enables predictive modeling and decision-making based on the complied information, IoT precisely controls and monitors the culture condition in real-time which improves energy efficiency, and saves costs [238, 264, 265]. With the help of ML tools, not only the growth of Microalgae can be predicted but also forecasts resource optimization and production. By predicting the ideal input levels for maximum yield and reducing waste and expenses related to excess or shortage of resources, predictive models can further optimize the use of resources [239]. ML algorithms have also significantly advanced the fields of microalgae and bioplastics by identifying, classifying, and cultivating microalgae species [234,235,236]. Combining ML techniques with LCAs can radically improve environmental decision-making by implementing robust waste management systems [264]. The TGA is a beneficial tool for understanding the pyrolysis of algal biomass and plastics thus advancing the concept of circular economy [265]. For a futuristic approach in microalgal bioplastic production, the focus should drift towards genetic and strain engineering, optimum culture conditions, and the adoption of novel strategies like the mixed integer nonlinear programming model.

Challenges and future directions

Technological hurdles in large-scale PHA production

Bioplastics have become an emerging field of study for scientists worldwide. Microalgae are thought to offer a viable substitute for conventional bioplastic production sources. Numerous conditions and process parameters have been optimized at lab scale to achieve the maximal production of bioplastics from algal sources. Further investigations are also required to achieve its commercial production, which largely focus on factors like environmental friendliness, manufacturing pace, product titre, and cost effectiveness [266]. However, some hurdles need to be resolved in order to shift this technology at large scale in a sustainable manner. The limited usage and high production cost in comparison to conventional plastic production, are one of the biggest impediments. Thermal instability, hard and, brittleness and weak water-resistant property of PHA bioplastics constrict their wide application [267, 268].

There are two types of systems: closed bioreactors and open pond systems employed for scaling up of lab-optimized bioplastic production parameters on pilot scale. The production yield of a closed bioreactor is higher than that of an open pond system because it keeps up the sterility, purity, and carried out under controlled conditions. The cost of production and downstreaming makes it impractical for industries to adjust from an economic standpoint [269]. Closed photobioreactors are often used for photosynthetic microorganisms [270, 271]. Open algal ponds, on the other hand, use wastewater as substrate and have cheap operating costs. However, sustaining cultures is a difficult task, particularly when wastewater has a high level of COD. This increases the likelihood of contamination and lowers the production yield [272]. The ability to produce bioplastic is dependent on the strain specific operating conditions and their intrinsic characteristics such as biomass, degradation rate, moisture level, and biopolymer yield [273, 274]. Consequently, in order to develop large-scale bioplastic manufacturing, we cannot rely on a single strain or set of environmental circumstances as not all the species can sustain same conditions for bioplastic production. Rather, a number of trials are required to determine the ideal conditions, which leads to a costly and complex process. Different climatic conditions also one of the barriers in expanding and analyzing its profitable production. The processing of algae harvesting is also an expensive since it requires a lot of energy and water to separate the algae biomass. The blending of polyunsaturated fatty acids and PE bioplastic produces an off-putting smell, which is another barrier to the product's acceptance by consumers and commercialization [275]. Efforts have been carried out to remove this barrier by using the zeolite and activated charcoal during production processes [276]. Without a doubt, genetic engineering works best to produce desired results; yet challenges still need to be addressed, such as genome sequencing, strain maintenance, inability to flourish in pond systems, and potential for random mutations [210]. The release of toxic heavy metal and oxides during extraction process harm the environment [22]. The release of methane and CO2 upon degradation of bioplastics responsible to increase the greenhouse effect of environment [277].

Economic feasibility and market competitiveness

Globally, the number of industries manufacturing bioplastics is currently smaller than that of petroleum derived plastic. It represents about 0.5 percent of the 400 million tonnes of plastic produced annually. According to the Bioplastic Market (2023), bioplastic production was 2.18 million tonnes in 2023 and is projected to increase to 7.43 million tonnes by 2028. The producing nations are China, Brazil, the US, Italy, and Australia, India and other [278, 279]. Globally, maximal (57%) production comes from Chinese and Asian production units. In addition, the leading producers are Indonesia (27%), South Korea (5%) and the Philippines (4%), and Europe (< 1%) [280]. PHA and biodegradable thermoplastic receiving the majority of attention due to their biological origin and compostable nature. Thus, expected to increase the market size of PHA USD 26.9 million, with a 6.31% CAGR from 2023 to 2028 [281]. However, global utilization rate of bioplastic is not satisfactory might be due to unawareness and acceptance among the customer. In contrast to other bio-based sectors, bioplastics technological development is under preparatory stage not yet ready to hit the market.

Research priorities and emerging opportunities

The demand of environment sustainable bioplastics from algal sources is expected to rise because of having the capacity to mitigate the harmful environmental impacts of traditional plastic production. There are numerous challenges to adopt this technology at industrial-scale manufacturing level and these are, notably the higher production expenses, waste management and market acceptance of this products. Bioplastic production has been limitedly explored on some microalgal species only, new algal species should be found out with respect to their industrial application. Efforts should be progressed on genome sequencing, genetic editing tools and system engineering techniques to develop strains with desired traits, ensuring high polymer productivity and tolerance to wide cultivation conditions relevant to large scale production [282, 283]. To establishing the algal based economy, the utilization of synthetic biology, phenomics, and industry 4.0 should be implemented along with molecular biology in algal manufacturing technology [284]. One of the obstacles impeding the transfer of engineered microbe’s technology from the lab to the industrial scale is the lack of means for ensuring stability, degradability and safety when disposing of it. For this reason, emphasis should also be devoted to this area. Focus should also be constrained on mixtrophic cultures which can utilized the extra nutrients present in open system and can be a solution to waste water management. Wider applications and longer shelf-life techniques should be investigated to improve the use of bioplastic and contribute in cost reduction, since its high production costs and unpleasant odor restrict its use [285]. Support from the government, legislators, and business community is essential to the market's acceptance of such products. An additional crucial aspect in boosting the economy is educating students and universities about the Blue Bioeconomy.

Conclusion

To provide a cleaner, healthier, and sustainable environment, the shift from a linear plastic economy to a cyclic bioplastic economy is essential. Bioplastics offer sustainability from biomass feedstock to bioconversion into polymers, biocompatible applications, and eco-friendly biodegradation. However, global industrial applications and investor interest are limited by challenges such as educating end users, adhering to LCA guidelines, and standardizing product labelling. Bioplastics are already used in agriculture, medicine, sports, household products, cosmetics, packaging, electronics, and textiles. Researchers are investigating ways to enhance the durability of these eco-friendly products while maintaining biodegradability, biocompatibility, and economic feasibility. Integrating waste management with bio-product manufacturing and supply-chain management is crucial. Unlike fossil-based synthetic plastics, which harm the environment and human health, green polymers must replace traditional ones to curb increasing plastic production. Addressing industrial challenges, guidelines, labelling, and consumer awareness will help biopolymers become integral to a sustainable circular economy.

Availability of data and materials

No datasets were generated or analysed during the current study.

References

  1. Formela K, Kurańska M, Barczewski M. Recent Advances in Development of Waste-Based Polymer Materials: A Review. Polymers (Basel). 2022;14(5):1050. https://doi.org/10.3390/polym14051050.

    Article  CAS  PubMed  Google Scholar 

  2. Pereyra-Camacho MA, Pardo I. Plastics and the Sustainable Development Goals: From waste to wealth with microbial recycling and upcycling. Microb Biotechnol. 2024;17(4):e14459. https://doi.org/10.1111/1751-7915.14459.

    Article  PubMed  PubMed Central  Google Scholar 

  3. Lackner M, Mukherjee A, Koller M. What Are “Bioplastics”? Defining Renewability, Biosynthesis, Biodegradability, and Biocompatibility. Polymers (Basel). 2023;15(24):4695. https://doi.org/10.3390/polym15244695.

    Article  CAS  PubMed  Google Scholar 

  4. Raza ZA, Abid S, Banat İM. Polyhydroxyalkanoates: Characteristics, production, recent developments and applications. Int Biodeterior Biodegradation. 2018;126:45–56. https://doi.org/10.1016/j.ibiod.2017.10.001.

    Article  CAS  Google Scholar 

  5. Reddy VUN, Ramanaiah S, Reddy MV, Chang Y. Review of the developments of Bacterial Medium-Chain-Length Polyhydroxyalkanoates (MCL-PHAs). Bioengineering. 2022;9(5):225. https://doi.org/10.3390/bioengineering9050225.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  6. Sehgal R, Gupta R. Polyhydroxyalkanoate and its efficient production: an eco-friendly approach towards development. 3 Biotech. 2020;10(12). https://doi.org/10.1007/s13205-020-02550-5.

  7. Arikan EB, Özsoy HD. A review: Investigation of Bioplastics. J Civil Eng Archit. 2015;9(2). https://doi.org/10.17265/1934-7359/2015.02.007.

  8. Meereboer KW, Misra M, Mohanty AK. Review of recent advances in the biodegradability of polyhydroxyalkanoate (PHA) bioplastics and their composites. Green Chem. 2020;22(17):5519–58. https://doi.org/10.1039/d0gc01647k.

    Article  CAS  Google Scholar 

  9. Acharjee SA, Bharali P, Gogoi B, Sorhie V, Walling B, Alemtoshi. PHA-Based Bioplastic: A Potential Alternative to Address Microplastic Pollution. Water Air Soil Pollut. 2023;234(1):21. https://doi.org/10.1007/s11270-022-06029-2.

    Article  CAS  PubMed  Google Scholar 

  10. Vicente D, Proença DN, Morais PV. The Role of Bacterial Polyhydroalkanoate (PHA) in a Sustainable Future: A Review on the Biological Diversity. Int J Environ Res Public Health. 2023;20(4):2959. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9957297/.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  11. Costa SS, Miranda AL, De Morais MG, Costa JAV, Druzian JI. Microalgae as source of polyhydroxyalkanoates (PHAs) — A review. Int J Biol Macromol. 2019;131:536–47. https://linkinghub.elsevier.com/retrieve/pii/S0141813019311869.

    Article  CAS  PubMed  Google Scholar 

  12. Rajpoot AS, Choudhary T, Chelladurai H, Verma TN, Shende V. A comprehensive review on bioplastic production from microalgae. Mater Today Proc. 2022;56:171–8. https://doi.org/10.1016/j.matpr.2022.01.060.

    Article  CAS  Google Scholar 

  13. Lau NS, Matsui M, Abdullah AAA. Cyanobacteria: Photoautotrophic Microbial Factories for the Sustainable Synthesis of Industrial Products. Biomed Res Int. 2015;2015:754934. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4496466/.

    Article  PubMed  PubMed Central  Google Scholar 

  14. Singh AK, Mallick N. Advances in cyanobacterial polyhydroxyalkanoates production. FEMS Microbiol Lett. 2017;364:1–13.

    Article  Google Scholar 

  15. Madadi R, Maljaee H, Serafim LS, Ventura SPM. Microalgae as contributors to produce biopolymers. Mar Drugs. 2021;19(8):466. https://doi.org/10.3390/md19080466.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  16. Zhang Z, Wang Y, Wang X, Zhang Y, Zhu T, Peng L, Xu Y, Chen X, Wang D, Ni B, Liu Y. Towards scaling-up implementation of polyhydroxyalkanoate (PHA) production from activated sludge: Progress and challenges. J Clean Prod. 2024;141542. https://doi.org/10.1016/j.jclepro.2024.141542.

  17. Dasgupta J, Singh A, Kumar S, Sikder J, Chakraborty S, Curcio S, Arafat HA. Poly (sodium-4-styrenesulfonate) assisted ultrafiltration for methylene blue dye removal from simulated wastewater: Optimization using response surface methodology. J Environ Chem Eng. 2016;4(2):2008–22. https://doi.org/10.1016/j.jece.2016.03.033.

    Article  CAS  Google Scholar 

  18. van der Hoek JP, de Fooij H, Struker A. Wastewater as a resource: Strategies to recover resources from Amsterdam’s wastewater. Resour Conserv Recycl. 2016;113:53–64. https://doi.org/10.1016/j.resconrec.2016.05.012.

    Article  Google Scholar 

  19. Srimongkol P, Sangtanoo P, Songserm P, Watsuntorn W, Karnchanatat A. Microalgae-based wastewater treatment for developing economic and environmental sustainability: Current status and future prospects. Front Bioeng Biotechnol. 2022;10. https://doi.org/10.3389/fbioe.2022.904046.

  20. Ahmed SF, Mofijur M, Parisa TA, Islam N, Kusumo F, Inayat A, et al. Progress and challenges of contaminate removal from wastewater using microalgae biomass. Chemosphere. 2022;286:131656. https://www.sciencedirect.com/science/article/pii/S0045653521021287.

    Article  CAS  PubMed  Google Scholar 

  21. You X, Yang L, Zhou X, Zhang Y. Sustainability and carbon neutrality trends for microalgae-based wastewater treatment: A review. Environ Res. 2022;209:112860. https://www.sciencedirect.com/science/article/pii/S0013935122001876.

    Article  CAS  PubMed  Google Scholar 

  22. Liu F, Li J, Zhang XL. Bioplastic production from wastewater sludge and application. IOP Conf Ser Earth Environ Sci. 2019;344(1):012071. https://doi.org/10.1088/1755-1315/344/1/012071.

    Article  Google Scholar 

  23. Mastropetros SG, Pispas K, Zagklis D, Ali SS, Kornaros M. Biopolymers production from microalgae and cyanobacteria cultivated in wastewater: Recent advances. Biotechnol Adv. 2022;60:107999. https://doi.org/10.1016/j.biotechadv.2022.107999.

    Article  CAS  PubMed  Google Scholar 

  24. Pittmann T, Steinmetz H. Development of a process to produce bioplastic at municipal wastewater treatment plants. In: 1st International IWA Conference on Holistic Sludge Management, Sweden. 2013. https://www.researchgate.net/publication/264386767_Development_of_a_process_to_produce_bioplastic_at_municipal_wastewater_treatment_plants. Accessed 12 May 2024.

  25. Usman M, Amin M, Kamal I, Shahid A, Xu J, Alam MA, et al. Algae-Mediated Resource Recovery from Urban Wastewater. Curr Pollut Rep. 2023;9(2):243–58. https://doi.org/10.1007/s40726-023-00254-x.

    Article  CAS  Google Scholar 

  26. Ben M, Mato T, Lopez A, Vila M, Kennes C, Veiga MC. Bioplastic production using wood mill effluents as feedstock. Water Sci Technol. 2011;63(6):1196–202. https://doi.org/10.2166/wst.2011.358.

    Article  CAS  PubMed  Google Scholar 

  27. Rahman A, Linton E, Hatch AD, Sims RC, Miller CD. Secretion of polyhydroxybutyrate in Escherichia coli using a synthetic biological engineering approach. J Biol Eng. 2013;7(1):24. https://doi.org/10.1186/1754-1611-7-24.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  28. Kavitha G, Kurinjimalar C, Sivakumar K, Kaarthik M, Aravind R, Palani P, et al. Optimization of polyhydroxybutyrate production utilizing waste water as nutrient source by Botryococcus braunii Kütz using response surface methodology. Int J Biol Macromol. 2016;93:534–42. https://doi.org/10.1016/j.ijbiomac.2016.09.019.

    Article  CAS  PubMed  Google Scholar 

  29. Mahapatra DM, Chanakya HN, Ramachandra TV. Treatment efficacy of algae-based sewage treatment plants. Environ Monit Assess. 2013;185(9):7145–64. https://doi.org/10.1007/s10661-013-3090-x.

    Article  CAS  PubMed  Google Scholar 

  30. Grivalský T, Lakatos GE, Štěrbová K, Manoel JAC, Beloša R, Divoká P, et al. Poly-β-hydroxybutyrate production by Synechocystis MT_a24 in a raceway pond using urban wastewater. Appl Microbiol Biotechnol. 2024;108(1):44. https://doi.org/10.1007/s00253-023-12924-3.

    Article  CAS  PubMed  Google Scholar 

  31. Haider MN, Liu C-G, Tabish TA, Balakrishnan D, Show PL, Qattan SYA, et al. Resource Recovery of the Wastewater-Derived Nutrients into Algal Biomass Followed by Its Cascading Processing to Multiple Products in a Circular Bioeconomy Paradigm. Fermentation. 2022;8(11):11. https://doi.org/10.3390/fermentation8110650.

    Article  CAS  Google Scholar 

  32. AlMomani FA, Örmeci B. Performance Of Chlorella Vulgaris, Neochloris Oleoabundans, and mixed indigenous microalgae for treatment of primary effluent, secondary effluent and centrate. Ecol Eng. 2016;95:280–9.

    Article  Google Scholar 

  33. Ji L, Ge Q, Li Y, Gao Y, Xie S. A Comparative Study of the Growth and Nutrient Removal Effects of Five Green Microalgae in Simulated Domestic Sewage. Water. 2021;13(24):3613. https://www.mdpi.com/2073-4441/13/24/3613.

    Article  CAS  Google Scholar 

  34. Han W, Jin W, Li Z, Wei Y, He Z, Chen C, et al. Cultivation of microalgae for lipid production using municipal wastewater. Process Safety Environ Protect. 2021;155:155–65. Available from: https://www.sciencedirect.com/science/article/pii/S0957582021004808. Cited 2024 Jun 28.

    Article  CAS  Google Scholar 

  35. Singh DV, Singh RP. Competence of algal consortia under municipal wastewater: remediation efficiency, photosynthetic performance, antioxidant defense mechanisms and biofuel production. Environ Monit Assess. 2024;196(5):466. https://doi.org/10.1007/s10661-024-12620-3.

    Article  CAS  PubMed  Google Scholar 

  36. Beuckels A, Smolders E, Muylaert K. Nitrogen availability influences phosphorus removal in microalgae-based wastewater treatment. Water Res. 2015;77:98–106.

    Article  CAS  PubMed  Google Scholar 

  37. Zhou W, Hu B, Li Y, Min M, Mohr M, Du Z, et al. Mass cultivation of microalgae on animal wastewater: a sequential two-stage cultivation process for energy crop and omega-3-rich animal feed production. Appl Biochem Biotechnol. 2012;168(2):348–63.

    Article  CAS  PubMed  Google Scholar 

  38. Lv J, Liu Y, Feng J, Liu Q, Nan F, Xie S. Nutrients removal from undiluted cattle farm wastewater by the two-stage process of microalgae-based wastewater treatment. Bioresource Technol. 2018;264:311–8.

    Article  CAS  Google Scholar 

  39. Hariz HB, Takriff MS, Mohd Yasin NH, Ba-Abbad MM, Mohd Hakimi NIN. Potential of the microalgae-based integrated wastewater treatment and CO2 fixation system to treat Palm Oil Mill Effluent (POME) by indigenous microalgae; Scenedesmus sp. and Chlorella sp. J Water Process Engineer. 2019;32:100907.

    Article  Google Scholar 

  40. Chen CY, Kuo EW, Nagarajan D, Ho SH, Dong CD, Lee DJ, et al. Cultivating Chlorella sorokiniana AK-1 with swine wastewater for simultaneous wastewater treatment and algal biomass production. Bioresource Technol. 2020;302:122814. Cited 2024 Jun 28.

    Article  CAS  Google Scholar 

  41. Rana Q ul ain, Latif S, Perveen S, Haq A, Ali S, Irfan M, et al. Utilization of microalgae for agricultural runoff remediation and sustainable biofuel production through an integrated biorefinery approach. Bioresour Bioprocess. 2024;11(1):8. https://doi.org/10.1186/s40643-023-00720-w.

    Article  PubMed  PubMed Central  Google Scholar 

  42. Goswami RK, Mehariya S, Verma P, Lavecchia R, Zuorro A. Microalgae-based biorefineries for sustainable resource recovery from wastewater. J Water Process Engineer. 2021;40:101747.

    Article  Google Scholar 

  43. Vaithiyanathan T, Sundaramoorthy P. Analysis of sugar mill effluent and its influence on germination and growth of African marigold (Tagetes erecta L). Appl Water Sci. 2017;7(8):4715–23. Available from: https://doi.org/10.1007/s13201-017-0634-1.

    Article  CAS  Google Scholar 

  44. Wang Y, Ho SH, Cheng CL, Guo WQ, Nagarajan D, Ren NQ, et al. Perspectives on the feasibility of using microalgae for industrial wastewater treatment. Biores Technol. 2016;222:485–97.

    Article  CAS  Google Scholar 

  45. Tao R, Kinnunen V, Praveenkumar R, et al. Comparison of Scenedesmus acuminatus and Chlorella vulgaris cultivation in liquid digestates from anaerobic digestion of pulp and paper industry and municipal wastewater treatment sludge. J Appl Phycol. 2027;29:2845–56. https://doi.org/10.1007/s10811-017-1175-6.

    Article  CAS  Google Scholar 

  46. Wu JY, Lay CH, Chen CC, Wu SY. Lipid accumulating microalgae cultivation in textile wastewater: Environmental parameters optimization. J Taiwan Inst Chem Engineer. 2017;79:1–6.

    Article  CAS  Google Scholar 

  47. Cheah WY, Show PL, Juan JC, Chang JS, Ling TC. Microalgae cultivation in palm oil mill effluent (POME) for lipid production and pollutants removal. Energy Convers Manage. 2018;174:430–8.

    Article  CAS  Google Scholar 

  48. Rajalakshmi AM, Silambarasan T, Dhandapani R. Small scale photo bioreactor treatment of tannery wastewater, heavy metal biosorption and CO2 sequestration using microalga Chlorella sp.: a biodegradation approach. Appl Water Sci. 2021;11(7):108. https://doi.org/10.1007/s13201-021-01438-w.

    Article  CAS  Google Scholar 

  49. de Almeida PT, Cardoso VL, Batista FRX. Feasibility of Chlorella vulgaris to waste products removal from cheese whey. Int J Environ Sci Technol. 2022;19(6):4713–22. https://doi.org/10.1007/s13762-021-03423-x.

    Article  CAS  Google Scholar 

  50. Raza N, Rizwan M, Mujtaba G. Bioremediation of real textile wastewater with a microalgal-bacterial consortium: an eco-friendly strategy. Biomass Conv Bioref. 2024;14(6):7359–71. https://doi.org/10.1007/s13399-022-03214-5.

    Article  CAS  Google Scholar 

  51. Paramasivam P, Maniam GP. Removal of Heavy Metals from Petroleum Industry Wastewater Using Indigenous Microalgae Scenedesmus sp. Key Eng Mater. 2024;974:25–30. https://www.scientific.net/KEM.974.25.

    Article  Google Scholar 

  52. Patel AK, Tambat VS, Singhania RR, Chen CW, Pandey A, Chang JS, et al. Advanced strategies for effective treatment of vanadium (III) polluted water by potential microalgae. J Taiwan Inst Chem Eng. 2024;160:105166.

    Article  CAS  Google Scholar 

  53. Anagnostopoulou C, Papachristou I, Kontogiannopoulos KN, Mourtzinos I, Kougias PG. Optimization of microalgae cultivation in food industry wastewater using microplates. Sustainable Chemistry and Pharmacy. 2024;39:101510.

    Article  CAS  Google Scholar 

  54. Young P, Taylor M, Fallowfield HJ. Mini-review: High rate algal ponds, flexible systems for sustainable wastewater treatment. World J Microbiol Biotechnol. 2017;33(6):117. https://doi.org/10.1007/s11274-017-2282-x.

    Article  CAS  PubMed  Google Scholar 

  55. Kohlheb N, van Afferden M, Lara E, Arbib Z, Conthe M, Poitzsch C, et al. Assessing the life-cycle sustainability of algae and bacteria-based wastewater treatment systems: High-rate algae pond and sequencing batch reactor. J Environ Manage. 2020;264:110459. https://doi.org/10.1016/j.jenvman.2020.110459.

    Article  CAS  PubMed  Google Scholar 

  56. Almeida JR, Serrano E, Fernandez M, Fradinho JC, Oehmen A, Reis MAM. Polyhydroxyalkanoates production from fermented domestic wastewater using phototrophic mixed cultures. Water Res. 2021;197:117101. https://doi.org/10.1016/j.watres.2021.117101.

    Article  CAS  PubMed  Google Scholar 

  57. dos Santos Borges AV, Andrade BB, Santana JS, de Almeida Medeiros RM, de Souza CO, de Jesus AD, da Silva JBA, Tavares PPLG, Cardoso LG. Biopolymers Synthesized by Microalgae Grown in Wastewater: A Technological Survey. BioEnergy Res. 2024;17(1):73–86. https://doi.org/10.1007/s12155-023-10680-w.

    Article  CAS  Google Scholar 

  58. Laycock B, Halley PJ, Pratt S, Werker A, Lant P. The chemomechanical properties of microbial polyhydroxyalkanoates. Prog Polym Sci. 2013;38(3–4):536–83. https://doi.org/10.1016/j.progpolymsci.2012.06.003.

    Article  CAS  Google Scholar 

  59. Μάρκου Γ, Vandamme D, Muylaert K. Microalgal and cyanobacterial cultivation: The supply of nutrients. Water Res. 2014;65:186–202. https://doi.org/10.1016/j.watres.2014.07.025.

    Article  CAS  Google Scholar 

  60. Singh M, Patel SK, Kalia VC. Bacillus subtilis as potential producer for polyhydroxyalkanoates. Microb Cell Fact. 2009;8(1):38. https://doi.org/10.1186/1475-2859-8-38.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  61. Singh M, Kumar P, Ray S, Kalia VC. Challenges and Opportunities for Customizing Polyhydroxyalkanoates. Indian J Microbiol. 2015;55(3):235–49. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4456503/.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  62. Rehm BHA. Polyester synthases: natural catalysts for plastics. Biochem J. 2003;376(Pt 1):15–33. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1223765/.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  63. Tsuge T, Hyakutake M, Mizuno K. Class IV polyhydroxyalkanoate (PHA) synthases and PHA-producing Bacillus. Appl Microbiol Biotechnol. 2015;99(15):6231–40.

    Article  CAS  PubMed  Google Scholar 

  64. Yogeswar M, Valle N, Nagarajan A. Cyanobacteria as a Source of Biodegradable Plastics. In: Tiwari A, editor. Cyanobacteria - Recent Advances and New Perspectives. London: IntechOpen; 2023. https://doi.org/10.5772/intechopen.110376.

  65. García G, Sosa-Hernández JE, Rodas-Zuluaga LI, Castillo-Zacarías C, Iqbal H, Parra-Saldívar R. Accumulation of PHA in the Microalgae Scenedesmus sp. under Nutrient-Deficient Conditions. Polymers. 2020;13(1):131. https://www.mdpi.com/2073-4360/13/1/131.

    Article  PubMed  PubMed Central  Google Scholar 

  66. Kaewbai-ngam A, Incharoensakdi A, Monshupanee T. Increased accumulation of polyhydroxybutyrate in divergent cyanobacteria under nutrient-deprived photoautotrophy: An efficient conversion of solar energy and carbon dioxide to polyhydroxybutyrate by Calothrix scytonemicola TISTR 8095. Bioresource Technol. 2016;212:342–7. https://linkinghub.elsevier.com/retrieve/pii/S0960852416305223.

    Article  CAS  Google Scholar 

  67. Mendhulkar VD, Shetye LA. Synthesis of Biodegradable Polymer Polyhydroxyalkanoate (PHA) in Cyanobacteria Synechococcus elongates Under Mixotrophic Nitrogen- and Phosphate-Mediated Stress Conditions. Industrial Biotechnology. 2017;13(2):85–93. https://www.liebertpub.com/doi/10.1089/ind.2016.0021.

    Article  CAS  Google Scholar 

  68. Yashavanth PR, Maiti SK. A multi-objective optimization approach for the production of polyhydroxybutyrate via Chlorogloea fritschii under diurnal light with single-stage cultivation. Int J Biol Macromol. 2024;255:128067.

    Article  CAS  PubMed  Google Scholar 

  69. Altamira-Algarra B, Lage A, García J, Gonzalez-Flo E. Photosynthetic species composition determines bioplastics production in microbiomes: Strategy to enrich cyanobacteria PHB-producers. Algal Res. 2024;79:103469.

    Article  Google Scholar 

  70. Oliveira CSS, Silva CE, Carvalho G, Reis MA. Strategies for efficiently selecting PHA producing mixed microbial cultures using complex feedstocks: Feast and famine regime and uncoupled carbon and nitrogen availabilities. New Biotechnol. 2017;37:69–79.

    Article  CAS  Google Scholar 

  71. Rueda E, García-Galán MJ, Díez-Montero R, Vila J, Grifoll M, García J. Polyhydroxybutyrate and glycogen production in photobioreactors inoculated with wastewater borne cyanobacteria monocultures. Biores Technol. 2020;295:122233.

    Article  CAS  Google Scholar 

  72. Rueda E, Gonzalez-Flo E, Mondal S, Forchhammer K, Arias DM, Ludwig K, et al. Challenges, progress, and future perspectives for cyanobacterial polyhydroxyalkanoate production. Rev Environ Sci Biotechnol. 2024. https://doi.org/10.1007/s11157-024-09689-0.

    Article  Google Scholar 

  73. Costa SS, Miranda AL, De Morais MG, Costa JAV, Druzian JI. Microalgae as source of polyhydroxyalkanoates (PHAs) — A review. Int J Biol Macromol. 2019;131:536–47. https://doi.org/10.1016/j.ijbiomac.2019.03.099.

    Article  CAS  PubMed  Google Scholar 

  74. D’Hondt E, Martín-Juárez J, Bolado S, Kasperoviciene J, Koreiviene J, Sulcius S, et al. Cell disruption technologies. In: Gonzalez-Fernandez C, Muñoz R, editors., et al., Microalgae-Based Biofuels and Bioproducts. Woodhead Publishing; 2017. p. 133–54.

    Chapter  Google Scholar 

  75. Balasubramanian RK, Doan TT, Obbard JP. Factors affecting cellular lipid extraction from marine microalgae. Chem Eng J. 2013;215:929–36.

    Article  Google Scholar 

  76. Elain A, Nkounkou C, Fellic M, Donnart K. Green extraction of polysaccharides from Arthrospira platensis using high pressure homogenization. J Appl Phycol. 2020;32:1719–27.

    Article  CAS  Google Scholar 

  77. Gomes TA, Zanette CM, Spier MR. An overview of cell disruption methods for intracellular biomolecules recovery. Prep Biochem Biotechnol. 2020;50:635–54.

    Article  CAS  PubMed  Google Scholar 

  78. Zhang R, Lebovka N, Marchal L, Vorobiev E, Grimi N. Pulsed electric energy and ultrasonication assisted green solvent extraction of bio-molecules from different microalgal species. Innov Food Sci Emerg Technol. 2020;62:102358.

    Article  CAS  Google Scholar 

  79. Lorente E, Hapońska M, Clavero E, Torras C, Salvadó J. Microalgae fractionation using steam explosion, dynamic and tangential cross-flow membrane filtration. Biores Technol. 2017;237:3–10.

    Article  CAS  Google Scholar 

  80. Petpheng B, Mudtaleb B, Piboon W, Paichid N, Sangkharak K. The extraction of phytol from Hydrilla verticillata using ultrasonic-assisted extraction (UAE), the analysis of antibacterial activity, and the utilization of residual extract for polyhydroxyalkanoate (PHA) production. Biomass Conversion Biorefinery. 2023;22(1):1–1.

    Google Scholar 

  81. Raj T, Morya R, Chandrasekhar K, Kumar D, Soam S, Kumar R, Patel AK, Kim SH. Microalgae biomass deconstruction using green solvents: Challenges and future opportunities. Biores Technol. 2023;369:128429.

    Article  CAS  Google Scholar 

  82. Alhattab M, Kermanshahi-pour A, Brooks MS. Dispersed air flotation of Chlorella saccharophila and subsequent extraction of lipids–Effect of supercritical CO2 extraction parameters and surfactant pretreatment. Biomass Bioenerg. 2019;127:105297.

    Article  CAS  Google Scholar 

  83. Zhang Y, Kong X, Wang Z, Sun Y, Zhu S, Li L, et al. Optimization of enzymatic hydrolysis for effective lipid extraction from microalgae Scenedesmus sp. Renewable Energy. 2018;125:1049–57.

    Article  CAS  Google Scholar 

  84. Aramvash A, Moazzeni Zavareh F, Gholami BN. Comparison of different solvents for extraction of polyhydroxybutyrate from Cupriavidus necator. Eng Life Sci. 2018;18:20–8. https://doi.org/10.1002/elsc.201700102.

    Article  CAS  PubMed  Google Scholar 

  85. Guldhe A, Singh B, Ansari FA, Sharma Y, Bux F. Extraction and Conversion of Microalgal Lipids. In: Bux F, Chisti Y, editors. Algae Biotechnology. Green Energy and Technology. Springer; 2016. https://doi.org/10.1007/978-3-319-12334-9_6.

  86. Kumar S, Gupta N, Pakshirajan K. Simultaneous lipid production and dairy wastewater treatment using Rhodococcus opacus in a batch bioreactor for potential biodiesel application. J Environ Chem Eng. 2015;3(3):1630–6. Available from: https://www.sciencedirect.com/science/article/pii/S2213343715001396.

    Article  CAS  Google Scholar 

  87. Costa SS, Miranda AL, de Jesus Assis D, Souza CO, de Morais MG, Costa JA, Druzian JI. Efficacy of Spirulina sp. polyhydroxyalkanoates extraction methods and influence on polymer properties and composition. Algal Res. 2018;1(33):231–8.

    Article  Google Scholar 

  88. Jiang G, Johnston B, Townrow DE, Radecka I, Koller M, Chaber P, Adamus G, Kowalczuk M. Biomass extraction using non-chlorinated solvents for biocompatibility improvement of polyhydroxyalkanoates. Polymers. 2018;10:731. https://doi.org/10.3390/polym10070731.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  89. Laycock B, Arcos-Hernandez MV, Langford A, Pratt S, Werker A, Halley PJ, Lant PA. Crystallisation and fractionation of selected polyhydroxyalkanoates produced from mixed cultures. New Biotechnol. 2014;31(4):345–56.

    Article  CAS  Google Scholar 

  90. Umesh M, Mamatha C. Comparitive study on efficacy of alkaline and acid extraction for PHA recovery from Bacillus subtilis NCDC0671. Int J Recent Sci Res. 2018;9:29467–71.

    Google Scholar 

  91. Rahman SN, Chai YH, Lam MK. Taguchi approach for assessing supercritical CO2 (sCO2) fluid extraction of polyhydroxyalkanoate (PHA) from Chlorella vulgaris sp. microalgae. J Environ Manage. 2024;1(355):120447.

    Article  Google Scholar 

  92. Bai MD, Han CC, Lu WC, Wan HP, Chang JS, Chen CY, Chang HY. Method for manufacturing an active substance for inducing self-lysis in microalga cells, active substance obtained therefrom, and method for inducing self-lysis in microalga cells. USA patent US20160177256. 2016. https://patentscope.wipo.int/search/en/detail.jsf?docId=US174235160. Accessed 12 May 2024.

  93. Mehariya S, Plöhn M, Jablonski P, Stagge S, Jönsson LJ, Funk C. Biopolymer production from biomass produced by Nordic microalgae grown in wastewater. Biores Technol. 2023;376:128901.

    Article  CAS  Google Scholar 

  94. Yashavanth PR, Maiti SK. Recovery and characterization of polyhydroxybutyrate from Chlorogloea fritschii TISTR 8527 using halogenated and green solvents. J Appl Phycol. 2024. https://doi.org/10.1007/s10811-024-03288-w.

    Article  Google Scholar 

  95. Mannina G, Presti D, Montiel-Jarillo G, Suárez-Ojeda ME. Bioplastic recovery from wastewater: A new protocol for polyhydroxyalkanoates (PHA) extraction from mixed microbial cultures. Biores Technol. 2019;282:361–9.

    Article  CAS  Google Scholar 

  96. Meixner K, Kovalcik A, Sykacek E, Gruber-Brunhumer M, Zeilinger W, Markl K, et al. Cyanobacteria Biorefinery — Production of poly(3-hydroxybutyrate) with Synechocystis salina and utilisation of residual biomass. J Biotechnol. 2018;265:46–53.

    Article  CAS  PubMed  Google Scholar 

  97. Murugan P, Han L, Gan CY, Maurer FHJ, Sudesh K. A new biological recovery approach for PHA using mealworm, Tenebrio molitor. J Biotechnol. 2016;239:98–105.

    Article  CAS  PubMed  Google Scholar 

  98. Divyashree MS, Shamala TR, Rastogi NK. Isolation of polyhydroxyalkanoate from hydrolyzed cells of Bacillus flexus using aqueous two-phase system containing polyethylene glycol and phosphate. Biotechnol Bioproc E. 2009;14(4):482–9. https://doi.org/10.1007/s12257-008-0119-z.

    Article  CAS  Google Scholar 

  99. Julianti E, Susanti S, Singgih M, Mulyani LN. Optimization of extraction method and characterization of phycocyanin pigment from Spirulina platensis. J Math Fundam Sci. 2019;51(1):168–76.

    Article  CAS  Google Scholar 

  100. Gómez-Loredo A, González-Valdez J, Rito-Palomares M. Insights on the downstream purification of fucoxanthin, a microalgal carotenoid, from an aqueous two-phase system stream exploiting ultrafiltration. J Appl Phycol. 2015;27:1517–23.

    Article  Google Scholar 

  101. Barkia I, Saari N, Manning SR. Microalgae for high-value products towards human health and nutrition. Mar Drugs. 2019;17(5):304.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  102. Alvarez MS, Longo MA, Deive FJ, Rodriguez A. Non-ionic surfactants and ionic liquids are a suitable combination for aqueous two-phase systems. Fluid Phase Equilib. 2019;502:112302.

    Article  CAS  Google Scholar 

  103. Rachana CR, Jose V. Three phase partitioning-a novel protein purification method. Int J ChemTech Res. 2014;6(7):3467–72.

    CAS  Google Scholar 

  104. Onen Cinar S, Chong ZK, Kucuker MA, Wieczorek N, Cengiz U, Kuchta K. Bioplastic Production from Microalgae: A Review. Int J Environ Res Public Health. 2020;17(11):3842. https://doi.org/10.3390/ijerph17113842.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  105. Lagoa-Costa B, Kennes C, Veiga MC. Influence of feedstock mix ratio on microbial dynamics during acidogenic fermentation for polyhydroxyalkanoates production. J Environ Manage. 2022;303:114132.

    Article  CAS  PubMed  Google Scholar 

  106. Khatami K, Pérez-Zabaleta M, Owusu-Agyeman I, Cetecioglu Z. Waste to bioplastics: How close are we to sustainable polyhydroxyalkanoates production? Waste Manage. 2021;119:374–88. https://doi.org/10.1016/j.wasman.2020.10.008.

    Article  CAS  Google Scholar 

  107. Adetunji AI, Erasmus M. Green Synthesis of Bioplastics from Microalgae: A State-of-the-Art Review. Polymers (Basel). 2024;16(10):1322. https://doi.org/10.3390/polym16101322.

    Article  CAS  PubMed  Google Scholar 

  108. Montiel-Jarillo G, Carrera J, Suárez-Ojeda ME. Enrichment of a mixed microbial culture for polyhydroxyalkanoates production: Effect of pH and N and P concentrations. Sci Total Environ. 2017;583:300–7. https://doi.org/10.1016/j.scitotenv.2017.01.069.

    Article  CAS  PubMed  Google Scholar 

  109. Monshupanee T, Nimdach P, Incharoensakdi A. Two-stage (photoautotrophy and heterotrophy) cultivation enables efficient production of bioplastic poly-3-hydroxybutyrate in auto-sedimenting cyanobacterium. Sci Rep. 2016;6:37121.

  110. Cui Y, Zhang HY, Lu P, Peng Y. Effects of carbon sources on the enrichment of halophilic polyhydroxyalkanoate-storing mixed microbial culture in an aerobic dynamic feeding process. Sci Rep. 2016;6(1):30766. https://doi.org/10.1038/srep30766.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  111. Rivera-Briso AL, Serrano-Aroca A. Poly(3-Hydroxybutyrate-CO-3-Hydroxyvalerate): Enhancement strategies for advanced applications. Polymers. 2018;10(7):732. https://doi.org/10.3390/polym10070732.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  112. Carvalho G, Pedras I, Karst SM, De Oliveira C, Duque AF, Nielsen PH, Reis MA. Functional redundancy ensures performance robustness in 3-stage PHA-producing mixed cultures under variable feed operation. New Biotechnol. 2018;40:207–17. https://doi.org/10.1016/j.nbt.2017.08.007.

    Article  CAS  Google Scholar 

  113. Bishop GD, Styles D, Lens PN. Environmental performance comparison of bioplastics and petrochemical plastics: A review of life cycle assessment (LCA) methodological decisions. Resour Conserv Recycl. 2021;168:105451. https://doi.org/10.1016/j.resconrec.2021.105451.

    Article  CAS  Google Scholar 

  114. Chong JWR, Tan X, Khoo KS, Ng HS, Jonglertjunya W, Yew GY, Show PL. Microalgae-based bioplastics: Future solution towards mitigation of plastic wastes. Environ Res. 2022;206:112620. https://doi.org/10.1016/j.envres.2021.112620.

    Article  CAS  Google Scholar 

  115. Chia WY, Tang DYY, Khoo KS, Lup ANK, Chew KW. Nature’s fight against plastic pollution: algae for plastic biodegradation and bioplastics production. Environ Sci Ecotechnol. 2020;4:100065. https://doi.org/10.1016/j.ese.2020.100065.

    Article  PubMed  PubMed Central  Google Scholar 

  116. Arora YK, Sharma S, Sharma V. Microalgae in Bioplastic Production: A Comprehensive review. Arab J Sci Eng. 2023;48(6):7225–41. https://doi.org/10.1007/s13369-023-07871-0.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  117. Naser AZ, Deiab I, Darras BM. Poly(lactic acid) (PLA) and polyhydroxyalkanoates (PHAs), green alternatives to petroleum-based plastics: a review. RSC Adv. 2021;11(28):17151–96. https://doi.org/10.1039/d1ra02390j.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  118. Bhagwat G, Gray KF, Wilson SP, Muniyasamy S, Vincent SGT, Bush RT, et al. Benchmarking Bioplastics: a natural step towards a sustainable future. J Polym Environ. 2020;28(12):3055–75. https://doi.org/10.1007/s10924-020-01830-8.

    Article  CAS  Google Scholar 

  119. Kaparapu J. Polyhydroxyalkanoate (PHA) production by genetically engineered microalgae: A review. J New Biol Rep. 2018;7:68–73.

    Google Scholar 

  120. Khanra A, Vasistha S, Prakash M, Cheah WY, Khoo KS, Chew KW, Chuah LF, Show PL. Green bioprocessing and applications of microalgae-derived biopolymers as a renewable feedstock: Circular bioeconomy approach. Environ Technol Innov. 2022;28:102872. https://doi.org/10.1016/j.eti.2022.102872.

    Article  CAS  Google Scholar 

  121. Rahman A, Miller C. Microalgae as a source of bioplastics. In: Rastogi RP, Madamwar D, Pandey A, editors. Algal Green Chemistry. Elsevier; 2017. p. 121–138. https://doi.org/10.1016/B978-0-444-63784-0.00006-0.

  122. Dianursanti, Khalis SA. The Effect of Compatibilizer Addition on Chlorella vulgaris Microalgae Utilization as a Mixture for Bioplastic. Web of Conferences. 2018;67:03047. https://doi.org/10.1051/e3sconf/20186703047.

    Article  CAS  Google Scholar 

  123. Troschl C, Meixner K, Drosg B. Cyanobacterial PHA Production—Review of recent advances and a summary of three years’ working experience running a pilot plant. Bioengineering. 2017;4(4):26. https://doi.org/10.3390/bioengineering4020026.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  124. Leong YK, Chang J. Bioprocessing for production and applications of bioplastics from algae. In Elsevier eBooks; 2022. p. 105–132. https://doi.org/10.1016/b978-0-323-96142-4.00008-7.

  125. Hempel F, Bozarth A, Lindenkamp N, Klingl A, Zauner S, Linne U, Steinbüchel A, Maier UG. Microalgae as bioreactors for bioplastic production. Microb Cell Fact. 2011;10(1):81.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  126. Tan FHP, Nadir N, Sudesh K. Microalgal Biomass as Feedstock for Bacterial Production of PHA: Advances and Future Prospects. Front Bioeng Biotechnol. 2022;12(10):879476. https://doi.org/10.3389/fbioe.2022.879476.

    Article  Google Scholar 

  127. Afreen R, Tyagi S, Singh GP, Singh M. Challenges and Perspectives of Polyhydroxyalkanoate Production From Microalgae/Cyanobacteria and Bacteria as Microbial Factories: An Assessment of Hybrid Biological System. Front Bioeng Biotechnol. 2021;19(9):624885. https://doi.org/10.3389/fbioe.2021.624885.

    Article  Google Scholar 

  128. Zeller MA, Hunt RW, Jones A, Sharma S. Bioplastics and their thermoplastic blends from Spirulina and Chlorella microalgae. J Appl Polym Sci. 2014;130(5):3263–75. https://doi.org/10.1002/app.39559.

    Article  CAS  Google Scholar 

  129. Bickerstaffe J, Barrett E. Packaging’s role in society. In: Levy GM, editor. Packaging in the Environment. Boston, MA: Springer, US; 1993. p. 34–52.

    Chapter  Google Scholar 

  130. Lee SY. Plastic bacteria? Progress and prospects for polyhydroxyalkanoate production in bacteria. Trends Biotechnol. 1996;14(11):431–8.

    Article  CAS  Google Scholar 

  131. European Bioplastics. Bioplastics Market Data. European Bioplastics: Berlin, Germany; 2019.

    Google Scholar 

  132. Miguel O, Iruin JJ. Evaluation of the transport properties of Poly(3-hydroxybutyrate) and its 3-hydroxyvalerate copolymers for packaging applications. Macromol Symp. 1999;144(1):427–38.

    Article  CAS  Google Scholar 

  133. Koller M. Poly(hydroxyalkanoates) for Food Packaging: Application and Attempts towards Implementation. Appl Food Technol Biotechnol. 2014;1(1):1–13.

    Google Scholar 

  134. Amaro LP, Barsi D, Guazzini T, Ilieva VI, Domenichelli A, Chicca I, et al. Polyhydroxyalkanoates (PHA)-Based Materials in Food Packaging Applications: State of the Art and Future Perspectives. In: The Handbook of Polyhydroxyalkanoates. CRC Press; 2020.

  135. Jariyasakoolroj P, Leelaphiwat P, Harnkarnsujarit N. Advances in research and development of bioplastic for food packaging. J Sci Food Agric. 2020;100(14):5032–45.

    Article  CAS  PubMed  Google Scholar 

  136. Paul V, Rai S, Vikranta U, Nandan A, Agarwal A, Tripathi AD, Starch-PHA Blend-Based Biopolymers with Potential Food Applications. Starch. 2024;2300131. https://doi.org/10.1002/star.202300131

  137. Atarés L, Chiralt A, González-Martínez C, Vargas M. Production of Polyhydroxyalkanoates for Biodegradable Food Packaging Applications Using Haloferax mediterranei and Agrifood Wastes. Foods. 2024;13(6):950. https://www.mdpi.com/2304-8158/13/6/950.

    Article  PubMed  PubMed Central  Google Scholar 

  138. Plackett D, Siró I. 18 - Polyhydroxyalkanoates (PHAs) for food packaging. In: Lagarón JM, editor. Multifunctional and Nanoreinforced Polymers for Food Packaging. Woodhead Publishing; 2011. p. 498–526.

    Chapter  Google Scholar 

  139. Elmowafy E, Abdal-Hay A, Skouras A, Tiboni M, Casettari L, Guarino V. Polyhydroxyalkanoate (PHA): applications in drug delivery and tissue engineering. Expert Rev Med Devices. 2019;16(6):467–82. https://doi.org/10.1080/17434440.2019.1615439.

    Article  CAS  PubMed  Google Scholar 

  140. Koller M. Biodegradable and Biocompatible Polyhydroxy-alkanoates (PHA): Auspicious Microbial Macromolecules for Pharmaceutical and Therapeutic Applications. Molecules. 2018;23(2):362.

    Article  PubMed  PubMed Central  Google Scholar 

  141. Dhania S, Bernela M, Rani R, Parsad M, Grewal S, Kumari S, et al. Scaffolds the backbone of tissue engineering: Advancements in use of polyhydroxyalkanoates (PHA). Int J Biol Macromol. 2022;208:243–59.

    Article  CAS  PubMed  Google Scholar 

  142. Muhammadi S, Afzal M, Hameed S. Bacterial polyhydroxyalkanoates-eco-friendly next generation plastic: Production, biocompatibility, biodegradation, physical properties and applications. Green Chem Lett Rev. 2015;8(3–4):56–77.

    Article  Google Scholar 

  143. Ray S, Kalia VC. Biomedical Applications of Polyhydroxyalkanoates. Indian J Microbiol. 2017;57(3):261–9.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  144. Guo W, Yang K, Qin X, Luo R, Wang H, Huang R. Polyhydroxyalkanoates in tissue repair and regeneration. Eng Regen. 2022;3(1):24–40.

    Google Scholar 

  145. Goswami M, Rekhi P, Debnath M, Ramakrishna S. Microbial Polyhydroxyalkanoates Granules: An Approach Targeting Biopolymer for Medical Applications and Developing Bone Scaffolds. Molecules. 2021;26(4):860.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  146. Tyler B, Gullotti D, Mangraviti A, Utsuki T, Brem H. Polylactic acid (PLA) controlled delivery carriers for biomedical applications. Adv Drug Deliv Rev. 2016;107:163–75.

    Article  CAS  PubMed  Google Scholar 

  147. Morris AH, Stamer DK, Kyriakides TR. The host response to naturally-derived extracellular matrix biomaterials. Semin Immunol. 2017;29:72–91.

    Article  CAS  PubMed  Google Scholar 

  148. Lopez-Silva TL, Leach DG, Azares A, Li IC, Woodside DG, Hartgerink JD. Chemical functionality of multidomain peptide hydrogels governs early host immune response. Biomaterials. 2020;231:119667.

    Article  CAS  PubMed  Google Scholar 

  149. Bryers JD, Giachelli CM, Ratner BD. Engineering biomaterials to integrate and heal: The biocompatibility paradigm shifts. Biotechnol Bioeng. 2012;109(8):1898–911.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  150. Falde EJ, Yohe ST, Colson YL, Grinstaff MW. Superhydrophobic materials for biomedical applications. Biomaterials. 2016;104:87–103.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  151. Li L, Shi X, Wang Z, Guo M, Wang Y, Jiao Z, et al. Porous Scaffolds of Poly(lactic-co-glycolic acid) and Mesoporous Hydroxyapatite Surface Modified by Poly(γ-benzyl-l-glutamate) (PBLG) for in Vivo Bone Repair. ACS Biomater Sci Eng. 2019;5(5):2466–81.

    Article  CAS  PubMed  Google Scholar 

  152. Huong KH, Sevakumaran V, Amirul AA. P(3HB-Co-4HB) as high value polyhydroxyalkanoate: its development over recent decades and current advances. Crit Rev Biotechnol. 2021;41(4):474–90. https://doi.org/10.1080/07388551.2020.1869685.

    Article  CAS  PubMed  Google Scholar 

  153. Siew EL, Rajab NF, Osman AB, Sudesh K, Inayat-Hussain HS. In vitro biocompatibility evaluation of poly(3-hydroxybutyrate-co-4-hydroxybutyrate) copolymer. J Biomed Mater Res A. 2006;81A(2):317–25. https://doi.org/10.1002/jbm.a.

    Article  Google Scholar 

  154. Sevakumaran V, Amirul AA. Biodegradability and cellular compatibility of poly (3-hydroxybutyrate-co-4-hydroxybutyrate) via subcutaneous implantation in rat model. Malays Appl Biol. 2017;46(4):1–8.

    Google Scholar 

  155. Shishatskaya EI, Nikolaeva ED, Vinogradova ON, Volova TG. Experimental wound dressings of degradable PHA for skin defect repair. J Mater Sci Mater Med. 2016;27(11):1. https://doi.org/10.1007/s10856-016-5776-4.

    Article  CAS  Google Scholar 

  156. Sharifulden NSAN, Barrios Silva LV, Mandakhbayar NE, Shin SJ, Kim HW, Knowles JC, et al. The biological and therapeutic assessment of a P(3HB-co-4HB)-bioactive glass-graphene composite biomaterial for tissue regeneration. J Biomed Mat Res Part B: Appl Biomat. 2024;112(7):e35441. https://onlinelibrary.wiley.com/doi/abs/10.1002/jbm.b.35441.

    Article  CAS  Google Scholar 

  157. Xi J, Zhang L, Zheng ZA, Chen G, Gong Y, Zhao N, et al. Preparation and Evaluation of Porous Poly(3-hydroxybutyrate-co-3-hydroxyhexanoate)— Hydroxyapatite Composite Scaffolds. J Biomater Appl. 2008;22(4):293–330.

    Article  CAS  Google Scholar 

  158. Vigneswari S., Abdul Khalil HPS, Amirul AA. Designing of Collagen Based Poly(3-hydroxybutyrate-co-4-hydroxybutyrate) Scaffolds for Tissue Engineering, Int J Polymer Sci, 2015;731690. https://doi.org/10.1155/2015/731690.

  159. Bakhtiari SSE, Karbasi S, Toloue EB. Modified poly(3-hydroxybutyrate)-based scaffolds in tissue engineering applications: A review. Int J Biol Macromol. 2021;166:986–98.

    Article  Google Scholar 

  160. Mohandas SP, Balan L, Jayanath G, Anoop BS, Philip R, Cubelio SS, et al. Biosynthesis and characterization of polyhydroxyalkanoate from marine Bacillus cereus MCCB 281 utilizing glycerol as carbon source. Int J Biol Macromol. 2018;119:380–92.

    Article  CAS  PubMed  Google Scholar 

  161. Pulingam T, Appaturi JN, Parumasivam T, Ahmad A, Sudesh K. Biomedical Applications of Polyhydroxyalkanoate in Tissue Engineering. Polymers. 2022;14(11):2141.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  162. Raziyan MS, Palevicius A, Perkowski D, Urbaite S, Janusas G. Development and Evaluation of 3D-Printed PLA/PHA/PHB/HA Composite Scaffolds for Enhanced Tissue-Engineering Applications. J Composites Sci. 2024;8(6):226. https://www.mdpi.com/2504-477X/8/6/226.

    Article  Google Scholar 

  163. Nigmatullin R, Thomas P, Lukasiewicz B, Puthussery H, Roy I. Polyhydroxyalkanoates, a family of natural polymers, and their applications in drug delivery. J Chem Technol Biotechnol. 2015;90(7):1209–21.

    Article  CAS  Google Scholar 

  164. Durán-Lara EF, Rafael D, Andrade F, Lobos GO, Vijayakumar S. Bacterial Polyhydroxyalkanoates-based Therapeutics-delivery Nanosystems. Curr Med Chem. 2023. https://doi.org/10.2174/0109298673268775231003111540.

  165. Masood F, Chen P, Yasin T, Fatima N, Hasan F, Hameed A. Encapsulation of Ellipticine in poly-(3-hydroxybutyrate-co-3-hydroxyvalerate) based nanoparticles and its in vitro application. Mater Sci Eng C. 2013;33(3):1054–60.

    Article  CAS  Google Scholar 

  166. Shah M, Ullah N, Choi MH, Yoon SC. Nanoscale Poly(4-hydroxybutyrate)-mPEG Carriers for Anticancer Drugs Delivery. J Nanosci Nanotechnol. 2014;14(11):8416–21.

    Article  CAS  PubMed  Google Scholar 

  167. Fan X, Zhang C, Fu S, Wang S, Ma S, Du J, et al. In Situ Assembly of Melittin-PHA Microspheres for Enhancing Therapeutic Efficacy in Cancer Treatment. Int J Pept Res Ther. 2024;30(3):30. https://doi.org/10.1007/s10989-024-10600-2.

    Article  CAS  Google Scholar 

  168. Tanaya K, Mohapatra S, Maity S, Samantaray DP. Fluorescent-pigmented Microbial Polymer Nanoparticles: an Approach for Replacement of Bioimaging Agent in the Drug Delivery System. Appl Biochem Microbiol. 2023;59(3):378–83. https://doi.org/10.1134/S0003683823030171.

    Article  CAS  Google Scholar 

  169. Tanaya K, Mohapatra S, Samantaray D. Formulation of biogenic fluorescent pigmented PHB nanoparticles from Rhodanobacter sp. for drug delivery. Antonie van Leeuwenhoek. 2024;117(1):75. https://doi.org/10.1007/s10482-024-01973-x.

    Article  CAS  PubMed  Google Scholar 

  170. Mascolo DD, Basnett P, Palange AL, Francardi M, Roy I, Decuzzi P. Tuning core hydrophobicity of spherical polymeric nanoconstructs for docetaxel delivery. Polym Int. 2016;65(7):741–6.

    Article  Google Scholar 

  171. Vardhan H, Mittal P, Adena SKR, Mishra B. Long-circulating polyhydroxybutyrate-co-hydroxyvalerate nanoparticles for tumor targeted docetaxel delivery: Formulation, optimization and in vitro characterization. Eur J Pharm Sci. 2017;99:85–94.

    Article  CAS  PubMed  Google Scholar 

  172. Tan L, Peng J, Zhao Q, Zhang L, Tang X, Chen L, et al. A Novel MPEG-PDLLA-PLL Copolymer for Docetaxel Delivery in Breast Cancer Therapy. Theranostics. 2017;7(10):2652–72.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  173. Bini RA, Silva MF, Varanda LC, da Silva MA, Dreiss CA. Soft nanocomposites of gelatin and poly(3-hydroxybutyrate) nanoparticles for dual drug release. Colloids Surf B Biointerfaces. 2017;157:191–8.

    Article  CAS  PubMed  Google Scholar 

  174. Shaikh AA, Datta P, Dastidar P, Majumder A, Das MD, Manna P, et al. Biopolymer-based nanocomposites for application in biomedicine: a review. J Polym Eng. 2024;44(2):83–116.

    Article  CAS  Google Scholar 

  175. Acharjee SA, Gogoi B, Bharali P, Sorhie V, Alemtoshi BW. Recent trends in the development of Polyhydroxyalkanoates (PHAs) based biocomposites by blending with different bio-based polymers. J Polym Res. 2024;31(4):98. https://doi.org/10.1007/s10965-024-03947-z.

    Article  CAS  Google Scholar 

  176. Saurav S, Mohan A, Tabassum Z, Girdhar M. Recent trends in polymer-based nanocomposites and its application in bone tissue engineering. AIP Conf Proc. 2024;2986(1):030138. https://doi.org/10.1063/5.0197881.

    Article  CAS  Google Scholar 

  177. Moyo M, Rane AV, Joseph GO, Kanny K. Green Composites Based on Polyhydroxyalkanoates. In: Green Micro- and Nanocomposites. Jenny Stanford Publishing; 2023.

  178. Masood F, Aslam A, Perveen K, Berger MR, Hameed (the Late) Abdul. Characterization of folic acid-grafted poly(3-hydroxybutyrate) and poly(3-hydroxybutyrate-co-3-hydroxyvalerate) nanoparticles as carriers for sustained release of epirubicin. J Mol Struct. 2024;1304:137631.

    Article  CAS  Google Scholar 

  179. Türesin F, Gürsel I, Hasirci V. Biodegradable polyhydroxyalkanoate implants for osteomyelitis therapy: in vitro antibiotic release. J Biomater Sci Polym Ed. 2001;12(2):195–207.

    Article  PubMed  Google Scholar 

  180. Panith N, Assavanig A, Lertsiri S, Bergkvist M, Surarit R, Niamsiri N. Development of tunable biodegradable polyhydroxyalkanoates microspheres for controlled delivery of tetracycline for treating periodontal disease. J Appl Polym Sci. 2016;133:44128.

  181. Pramanik N, Dutta K, Basu RK, Kundu PP. Aromatic π-Conjugated Curcumin on Surface Modified Polyaniline/Polyhydroxyalkanoate Based 3D Porous Scaffolds for Tissue Engineering Applications. ACS Biomater Sci Eng. 2016;2(12):2365–77.

    Article  CAS  PubMed  Google Scholar 

  182. Evangeline S, Sridharan TB. Biosynthesis and statistical optimization of polyhydroxyalkanoate (PHA) produced by Bacillus cereus VIT-SSR1 and fabrication of biopolymer films for sustained drug release. Int J Biol Macromol. 2019;135:945–58.

    Article  CAS  PubMed  Google Scholar 

  183. Perveen K, Masood F, Hameed A. Preparation, characterization and evaluation of antibacterial properties of epirubicin loaded PHB and PHBV nanoparticles. Int J Biol Macromol. 2020;144:259–66.

    Article  CAS  PubMed  Google Scholar 

  184. Waksman R. Bioresorbable Scaffolds: Polymer Troubleshooting or Simply Not Good Enough? JACC Cardiovasc Interv. 2017;10(11):1131–3.

    Article  PubMed  Google Scholar 

  185. Williams SF, Rizk S, Martin DP. Poly-4-hydroxybutyrate (P4HB): a new generation of resorbable medical devices for tissue repair and regeneration. Biomed Tech (Berl). 2013;58:439-52.

  186. Romanò CL, Scarponi S, Gallazzi E, Romanò D, Drago L. Antibacterial coating of implants in orthopaedics and trauma: a classification proposal in an evolving panorama. J Orthop Surg Res. 2015;10:157.

  187. Kalia VC, Patel SKS, Lee JK. Exploiting Polyhydroxyalkanoates for Biomedical Applications. Polymers. 2023;15(8):1937. https://www.mdpi.com/2073-4360/15/8/1937.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  188. Chernozem RV, Pariy IO, Pryadko A, Bonartsev AP, Voinova VV, Zhuikov VA, et al. A comprehensive study of the structure and piezoelectric response of biodegradable polyhydroxybutyrate-based films for tissue engineering applications. Polym J. 2022;54(10):1225–36.

    Article  CAS  Google Scholar 

  189. Dhania S, Bernela M, Rani R, Parsad M, Grewal S, Kumari S, et al. Scaffolds the backbone of tissue engineering: Advancements in use of polyhydroxyalkanoates (PHA). Int J Biol Macromol. 2022;208:243–59.

    Article  CAS  PubMed  Google Scholar 

  190. Mansoor Z, Tchuenbou-Magaia F, Kowalczuk M, et al. Polymers Use as Mulch Films in Agriculture—A Review of History, Problems and Current Trends. Polymers. 2022;14(23):5062.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  191. Henseler M. Plastic Emissions from Mulch Film and Abatement Measures — a Model-Based Assessment for Germany. Environ Model Assess. 2023. https://doi.org/10.1007/s10666-023-09944-8.

    Article  Google Scholar 

  192. Havens KJ, Bilkovic DM, Stanhope DM, Angstadt KT. Fishing Gear with Degradable Component. U.S. Patent 20150135580A1. 2015.

  193. Kalia VC, Singh Patel SK, Shanmugam R, Lee JK. Polyhydroxyalkanoates: Trends and advances toward biotechnological applications. Bioresour Technol. 2021;326:124737.

    Article  CAS  PubMed  Google Scholar 

  194. Somleva MN, Peoples OP, Snell KD. PHA Bioplastics, Biochemicals, and Energy from Crops. Plant Biotechnol J. 2013;11(2):233–52.

    Article  CAS  PubMed  Google Scholar 

  195. Menossi M, Cisneros M, Alvarez VA, Casalongué C. Current and emerging biodegradable mulch films based on polysaccharide bio-composites. Agron Sustain Dev. 2021;41:53.

  196. Pittmann T, Steinmetz H. Polyhydroxyalkanoate Production on Waste Water Treatment Plants: Process Scheme, Operating Conditions and Potential Analysis for German and European Municipal Waste Water Treatment Plants. Bioengineering. 2017;4(4):54.

    Article  PubMed  PubMed Central  Google Scholar 

  197. Jiménez-Rosado M, Perez-Puyana V, Guerrero A, Romero A. Bioplastic Matrices for Sustainable Agricultural and Horticultural Applications. In: Kuddus M, Roohi, editors. Bioplastics for Sustainable Development. Singapore: Springer Singapore; 2021. p. 399–429.

    Chapter  Google Scholar 

  198. Schrader JA. Bioplastics for horticulture: An introduction. In: Schrader J, Kratsch H, Graves WR, editors. Bioplastic Container Cropping Systems: Green Technology for the Green Industry. USA: Createspace Independent Publishing Platform; 2016.

    Google Scholar 

  199. de Souza FM, Gupta RK. Bacteria for Bioplastics: Progress, Applications, and Challenges. ACS Omega. 2024;9(8):8666–86.

    Article  PubMed  PubMed Central  Google Scholar 

  200. Wang YW, Mo W, Yao H, Wu Q, Chen J, Chen GQ. Biodegradation studies of poly(3-hydroxybutyrate-co-3-hydroxyhexanoate). Polymer Degradation Stabil. 2004;85(2):815–21.

    Article  CAS  Google Scholar 

  201. Chaogang W, Zhangli H, Anping L, Baohui J. Biosynthesis of Poly-3-Hydroxybutyrate (phb) in the Transgenic Green Alga Chlamydomonas Reinhardtii1. J Phycol. 2010;46(2):396–402. https://doi.org/10.1111/j.1529-8817.2009.00789.x.

    Article  CAS  Google Scholar 

  202. Bin Abu Sofian ADA, Lim HR, Manickam S, Ang WL, Show PL. Towards a Sustainable Circular Economy: Algae-Based Bioplastics and the Role of Internet-of-Things and Machine Learning. ChemBioEng Rev. 2024;11(1):39–59. https://doi.org/10.1002/cben.202300028.

    Article  CAS  Google Scholar 

  203. Tripathi VK, Dwivedi J, Srivastava M, Jangir LK, Tripathi KM. Development of bioplastics from a microalgae consortium from wastewater. In: Mishra AK, Hussain CM, editors. Bioplastics for Sustainability. Elsevier; 2024. pp. 23–46. https://doi.org/10.1016/B978-0-323-95199-9.00002-0.

  204. Yaich H, Garna H, Besbes S, Barthelemy J-P, Paquot M, Blecker C, Attia H. Impact of extraction procedures on the chemical, rheological and textural properties of ulvan from Ulva lactuca of Tunisia coast. Food Hydrocolloids. 2014;40:53–63. https://doi.org/10.1016/j.foodhyd.2014.02.002.

    Article  CAS  Google Scholar 

  205. Ismail D, Noviasari C, Windiani L, Gozan M. Effect of compatibilizer addition in Spirulina platensis based bioplastic production. In: AIP Conference Proceedings. 2019. https://doi.org/10.1063/1.5096716.

    Chapter  Google Scholar 

  206. Glasson CR, Donnet L, Angell A, Vucko MJ, Lorbeer AJ, Vamvounis G, de Nys R, Magnusson M. Multiple response optimisation of the aqueous extraction of high quality ulvan from Ulva ohnoi. Bioresour Technol Rep. 2019;7:100262. https://doi.org/10.1016/j.biteb.2019.100262.

    Article  Google Scholar 

  207. Grigore ME, Grigorescu RM, Iancu L, Ion RM, Zaharia C, Andrei ER. Methods of synthesis, properties and biomedical applications of polyhydroxyalkanoates: A review. J Biomater Sci Polym Ed. 2019;30(9):695–712. https://doi.org/10.1080/09205063.2019.1605866.

    Article  CAS  PubMed  Google Scholar 

  208. Muneer F, Rasul I, Qasim M, Sajid A, Nadeem H. Optimization, Production and Characterization of Polyhydroxyalkanoate (PHA) from Indigenously Isolated Novel Bacteria. J Polym Environ. 2022:1–11. https://doi.org/10.1007/s10924-022-02444-y.

  209. Rehm BHA. Polyester synthases: natural catalysts for plastics. Biochem J. 2003;376:15–33.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  210. Koller M. Bioplastics from microalgae—Polyhydroxyalkanoate production by cyanobacteria. In: Handbook of Microalgae-Based Processes and Products. Academic Press; 2020. pp. 597–645.

  211. Hlavova M, Turoczy Z, Bisova K. Improving microalgae for biotechnology—From genetics to synthetic biology. Biotechnol Adv. 2015;33(6, Part 2):1194–203. https://doi.org/10.1016/j.biotechadv.2015.01.009.

    Article  CAS  PubMed  Google Scholar 

  212. Salles JC, Deschamps FJ. Allergic contact dermatitis due to a PVC table cover. Occup Med. 2010;60(8):662–4. https://doi.org/10.1093/occmed/kqq137.

    Article  CAS  Google Scholar 

  213. Sudesh K, Taguchi K, Doi Y. Effect of increased PHA synthase activity on polyhydroxyalkanoates biosynthesis in Synechocystis sp. PCC6803. Int J Biol Macromol. 2002;30(2):97–104. https://doi.org/10.1016/S0141-8130(02)00010-7.

    Article  CAS  PubMed  Google Scholar 

  214. Tyo KEJ, Jin Y-S, Espinoza FA, Stephanopoulos G. Identification of gene disruptions for increased poly-3-hydroxybutyrate accumulation in Synechocystis PCC 6803. Biotechnol Prog. 2009;25(5):1236–43. https://doi.org/10.1002/btpr.228.

    Article  CAS  PubMed  Google Scholar 

  215. Osanai T, Numata K, Oikawa A, Kuwahara A, Iijima H, Doi Y, et al. Increased bioplastic production with an RNA polymerase sigma factor SigE during nitrogen starvation in Synechocystis sp. PCC 6803. DNA Res. 2013;20(6):525–35. https://doi.org/10.1093/dnares/dst028.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  216. Lau N-S, Foong CP, Kurihara Y, Sudesh K, Matsui M. RNA-Seq Analysis Provides Insights for Understanding Photoautotrophic Polyhydroxyalkanoate Production in Recombinant Synechocystis Sp. PLoS ONE. 2014;9(1):e86368. https://doi.org/10.1371/journal.pone.0086368.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  217. Hondo S, Takahashi M, Osanai T, Matsuda M, Hasunuma T, Tazuke A, et al. Genetic engineering and metabolite profiling for overproduction of polyhydroxybutyrate in cyanobacteria. J Biosci Bioeng. 2015;120(5):510–7. https://doi.org/10.1016/j.jbiosc.2015.03.004.

    Article  CAS  PubMed  Google Scholar 

  218. Khetkorn W, Incharoensakdi A, Lindblad P, Jantaro S. Enhancement of poly-3-hydroxybutyrate production in Synechocystis sp. PCC 6803 by overexpression of its native biosynthetic genes. Bioresour Technol. 2016;214:761–8. https://doi.org/10.1016/j.biortech.2016.05.014.

    Article  CAS  PubMed  Google Scholar 

  219. Carpine R, Du W, Olivieri G, Pollio A, Hellingwerf KJ, Marzocchella A, Branco Dos Santos F. Genetic engineering of Synechocystis sp PCC6803 for poly-β-hydroxybutyrate overproduction. Algal Res. 2017;25:117–27. https://doi.org/10.1016/j.algal.2017.05.013.

    Article  Google Scholar 

  220. Wang B, Xiong W, Yu J, Maness PC, Meldrum D. Unlocking the photobiological conversion of CO2 to (R)-3-hydroxybutyrate in cyanobacteria. Green Chem. 2018;20(16):3772–82. https://doi.org/10.1039/c8gc01208c.

    Article  CAS  Google Scholar 

  221. Koch M, Bruckmoser J, Scholl J, Hauf W, Rieger B, Forchhammer K. Maximizing PHB content in Synechocystis sp. PCC 6803: A new metabolic engineering strategy based on the regulator PirC. Microb Cell Fact. 2020;19(1):231. https://doi.org/10.1186/s12934-020-01491-1.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  222. Roh H, Lee JS, Choi HI, Sung YJ, Choi SY, Woo HM, et al. Improved CO2-derived polyhydroxybutyrate (PHB) production by engineering fast-growing cyanobacterium Synechococcus elongatus UTEX 2973 for potential utilization of flue gas. Bioresour Technol. 2021;327:124789. https://doi.org/10.1016/j.biortech.2021.124789.

    Article  CAS  PubMed  Google Scholar 

  223. Utharn S, Jantaro S. The adc1 knockout with proC overexpression in Synechocystis sp. PCC 6803 induces a diversion of acetyl-CoA to produce more polyhydroxybutyrate. Biotechnol Biofuels Bioprod. 2024;17(1):6. https://doi.org/10.1186/s13068-024-02458-9.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  224. Windhagauer M, Doblin MA, Signal B, Kuzhiumparambil U, Fabris M, Abbriano RM. Metabolic response to a heterologous poly-3-hydroxybutyrate (PHB) pathway in Phaeodactylum tricornutum. Appl Microbiol Biotechnol. 2024;108(1):104. https://doi.org/10.1007/s00253-023-12823-7.

    Article  CAS  PubMed  Google Scholar 

  225. Baek K, Yu J, Jeong J, Sim SJ, Bae S, Jin E. Photoautotrophic production of macular pigment in a Chlamydomonas reinhardtii strain generated by using DNA-free CRISPR-Cas9 RNP-mediated mutagenesis. Biotechnol Bioeng. 2018;115(3):719–28. https://doi.org/10.1002/bit.26499.

    Article  CAS  PubMed  Google Scholar 

  226. Kao P-H, Ng I-S. CRISPRi mediated phosphoenolpyruvate carboxylase regulation to enhance the production of lipid in Chlamydomonas reinhardtii. Bioresour Technol. 2017;245(Pt B):1527–37. https://doi.org/10.1016/j.biortech.2017.04.111.

    Article  CAS  PubMed  Google Scholar 

  227. Nguyen T, Park S, Jeong J, Shin YS, Sim S, Jin E. Enhancing lipid productivity by modulating lipid catabolism using the CRISPR-Cas9 system in Chlamydomonas. J Appl Phycol. 2020. https://doi.org/10.1007/s10811-020-02172-7.

    Article  Google Scholar 

  228. Shin S-E, Lim J-M, Koh H-G, Kim EK, Kang NK, Jeon S, et al. CRISPR/Cas9-induced knockout and knock-in mutations in Chlamydomonas reinhardtii. Sci Rep. 2016;6(1):27810. https://doi.org/10.1038/srep27810.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  229. Shin YS, Jeong J, Nguyen THT, Kim JYH, Jin E, Sim SJ. Targeted knockout of phospholipase A2 to increase lipid productivity in Chlamydomonas reinhardtii for biodiesel production. Bioresour Technol. 2018;271:368–74. https://doi.org/10.1016/j.biortech.2018.09.121.

    Article  CAS  PubMed  Google Scholar 

  230. Patel VK, Soni N, Prasad V, Sapre A, Dasgupta S, Bhadra B. CRISPR-Cas9 System for Genome Engineering of Photosynthetic Microalgae. Mol Biotechnol. 2019;61(8):541–61. https://doi.org/10.1007/s12033-019-00185-3.

    Article  CAS  PubMed  Google Scholar 

  231. Wang Q, Lu Y, Xin Y, Wei L, Huang S, Xu J. Genome editing of model oleaginous microalgae Nannochloropsis spp. by CRISPR/Cas9. Plant J. 2016;88(6):1071–81. https://doi.org/10.1111/tpj.13307.

    Article  CAS  PubMed  Google Scholar 

  232. Luna MF, Ochsner AM, Amstutz V, von Blarer D, Sokolov M, Arosio P, et al. Modeling of Continuous PHA Production by a Hybrid Approach Based on First Principles and Machine Learning. Processes. 2021;9(9):9. https://doi.org/10.3390/pr9091560.

    Article  CAS  Google Scholar 

  233. Saboe D, Ghasemi H, Gao MM, Samardzic M, Hristovski KD, Boscovic D, et al. Real-time monitoring and prediction of water quality parameters and algae concentrations using microbial potentiometric sensor signals and machine learning tools. Sci Total Environ. 2021;764:142876. https://doi.org/10.1016/j.scitotenv.2020.142876.

    Article  CAS  PubMed  Google Scholar 

  234. Chong JWR, Khoo KS, Chew KW, Ting H-Y, Show PL. Trends in digital image processing of isolated microalgae by incorporating classification algorithm. Biotechnol Adv. 2023;63:108095. https://doi.org/10.1016/j.biotechadv.2023.108095.

    Article  CAS  PubMed  Google Scholar 

  235. Correa I, Drews P, Botelho S, de Souza MS, Tavano VM. Deep Learning for Microalgae Classification. In: 2017 16th IEEE International Conference on Machine Learning and Applications (ICMLA); 2017:20–25. https://doi.org/10.1109/ICMLA.2017.0-183

  236. Otálora P, Guzmán J, Acién F, Berenguel M, Reul A. Microalgae classification based on machine learning techniques. Classification of dead and living microalgae Chlorella vulgaris by bioimage informatics and machine learning. Algal Res. 2021;55:102256. https://doi.org/10.1016/j.algal.2020.101908.

    Article  Google Scholar 

  237. Reimann R, Zeng B, Jakopec M, Burdukiewicz M, Petrick I, Schierack P, Rödiger S. Classification of dead and living microalgae Chlorella vulgaris by bioimage informatics and machine learning. Algal Res. 2020;48:101908. https://doi.org/10.1016/j.algal.2020.101908.

    Article  Google Scholar 

  238. Lim HR, Khoo KS, Chia WY, Chew KW, Ho SH, Show PL. Smart microalgae farming with internet-of-things for sustainable agriculture. Biotechnol Adv. 2022;57:107931. https://doi.org/10.1016/j.biotechadv.2022.107931.

    Article  PubMed  Google Scholar 

  239. Oruganti RK, Biji AP, Lanuyanger T, Show PA, Sriariyanun M, Upadhyayula VK, Gadhamshetty V, Bhattacharyya D. Artificial intelligence and machine learning tools for high-performance microalgal wastewater treatment and algal biorefinery: a critical review. Sci Total Environ. 2023;876:162797. https://doi.org/10.1016/j.scitotenv.2023.162797.

    Article  CAS  PubMed  Google Scholar 

  240. Roslan MIB, Ibrahim Z, Abd Aziz Z. In: 2022 IEEE 12th Symp. on Computer Applications & Industrial Electronics (ISCAIE), IEEE, 2022:111–116.

  241. Wong KH, Tan IS, Foo HCY, Chin LM, Cheah JRN, Sia JKT, Tong KTX, Lam MK. Third-generation bioethanol and L-lactic acid production from red macroalgae cellulosic residue: Prospects of Industry 5.0 algae. Energy Convers Manage. 2022;253:115155. https://doi.org/10.1016/j.enconman.2021.115155.

    Article  CAS  Google Scholar 

  242. A European Strategy for Plastics in a Circular Economy. European Commission, Brussels. 2018. https://www.europarc.org/wp-content/uploads/2018/01/Eu-plastics-strategy-brochure.pdf. Accessed 12 May 2024.

  243. Sefrienda AR, Kurnianto D, Jasmadi J, Frediansyah A. Cassava and microalgae use in the food industry: challenges and prospects. Intech Open. 2023. https://doi.org/10.5772/intechopen.110518.

    Article  Google Scholar 

  244. Anli Dino A, Kishore G. Microalgae: an emerging source of bioplastics production. Discov Environ. 2024;2(10). https://doi.org/10.1007/s44274-024-00038-0.

  245. Narancic T, Cerrone F, Beagan N, O’Connor KE. Recent advances in bioplastics: application and biodegradation. Polymers. 2020;12(4):920. https://doi.org/10.3390/polym12040920.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  246. Ahmad N, Hamid AN, Osman AM. A review study on the potential of microalgae biomass producing biopolymer material. Current Sci Technol. 2022. https://doi.org/10.15282/cst.v2i2.941.

  247. Younis SA, Ghobashy MM, Bassioni G, Gupta AK. Tailored functionalized polymer nanoparticles using gamma radiation for selected adsorption of barium and strontium in oilfield wastewater. Arab J Chem. 2020;13(2):3762–74. https://doi.org/10.1016/j.arabjc.2018.12.010.

    Article  CAS  Google Scholar 

  248. Nanda N, Bharadvaja N. Algal bioplastics: current market trends and technical aspects. Clean Technol Environ Policy. 2022;24(9):2659–79. https://doi.org/10.1007/s10098-022-02353-7.

    Article  PubMed  PubMed Central  Google Scholar 

  249. Ali SS, Abdelkarim EA, Elsamahy T, Al-Tohamy R, Li F, Kornaros M, Zuorro A, Zhu D, Sun J. Bioplastic production in terms of life cycle assessment: A state-of-the-art review. Environ Sci Ecotechnol. 2023;100254. https://doi.org/10.1016/j.ese.2023.100254.

  250. De Brito J, Evangelista L, Silvestre JD. Equivalent functional unit in recycled aggregate concrete. In: New Trends in Eco-Efficient and Recycled Concrete. 2019. pp. 293e327. https://doi.org/10.1016/B978-0-08-102480-5.00011-7.

  251. Kylili A, Fokaides PA. Construction Materials for the Urban Environment: Environmental Assessment of Life Cycle Performance. In: Handbook of Ecomaterials. Springer, Switzerland; 2019. p. 133–1. https://doi.org/10.1007/978-3-319-48281-1_133-1.

  252. Royer SJ, Ferron S, Wilson ST, Karl DL. Production of methane and ethylene from plastic in the environment. PLoS ONE. 2018;13:e0200574. https://doi.org/10.1371/journal.pone.0200574.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  253. La Rosa AD. Life cycle assessment of biopolymers. In: Biopolymers and Biotech Admixtures for Eco-Efficient Construction Materials. Woodhead Publishing; 2016. p. 57e78. https://doi.org/10.1016/B978-0-08-100214-8.00004-X.

  254. Banerjee R, Ray SS. Sustainability and life cycle assessment of thermoplastic polymers for packaging: a review on fundamental principles and applications. Macromol Mater Eng. 2022;2100794. https://doi.org/10.1002/mame.202100794.

  255. Silva DAL, Nunes AO, Piekarski CM, da Silva Moris VA, de Souza LSM, Rodrigues TO. Why using different Life Cycle Assessment software tools can generate different results for the same product system? A cause effect analysis of the problem. Sustain Prod Consum. 2019;20:304–15. https://doi.org/10.1016/j.spc.2019.07.005.

    Article  Google Scholar 

  256. Plescan C, Barta M, Maxineasa SG, Plescan EL. Life cycle assessment of concrete pavement rehabilitation: a Romanian case study. Appl Sci. 2022;12:1769. https://doi.org/10.3390/app12041769.

    Article  CAS  Google Scholar 

  257. Silva D, Nunes AO, da Silva Moris A, Moro C, Piekarski TOR. How important is the LCA software tool you choose Comparative results from GaBi, openLCA, SimaPro and Umberto. In: Proceedings of the VII Conferencia Internacional de Analisis de Ciclo de Vida en Latinoamerica, Medellin, Colombia, 2017:10–15.

  258. Bussa M, Eisen A, Zollfrank C, Röder H. Life cycle assessment of microalgae products: State of the art and their potential for the production of polylactid acid. J Clean Prod. 2019;213:1299–312. https://doi.org/10.1016/j.jclepro.2018.12.048.

    Article  CAS  Google Scholar 

  259. Beckstrom BD. Bioplastic Production from Microalgae with Fuel Co-Products: A Techno-Economic and Life-Cycle Assessment [Master's thesis]. Colorado State University; 2019.

  260. Medeiros DL, Sales EA, Kiperstok A. Energy production from microalgae biomass: Carbon footprint and energy balance. J Clean Prod. 2015;96:493–500. https://doi.org/10.1016/j.jclepro.2014.07.038.

    Article  Google Scholar 

  261. Quinn JC, Davis R. The potentials and challenges of algae based biofuels: A review of the techno-economic, life cycle, and resource assessment modeling. Bioresour Technol. 2015;184:444–52. https://doi.org/10.1016/j.biortech.2014.10.075.

    Article  CAS  PubMed  Google Scholar 

  262. Draaisma RB, Wijffels RH, Slegers PME, Brentner LB, Roy A, Barbosa MJ. Food commodities from microalgae. Curr Opin Biotechnol. 2013;24:169–77. https://doi.org/10.1016/j.copbio.2012.09.012.

    Article  CAS  PubMed  Google Scholar 

  263. Velenturf APM, Purnell P. Principles for a sustainable circular economy. Sustain Prod Consump. 2021;1(27):1437–57.

    Article  Google Scholar 

  264. Ghoroghi A, Rezgui Y, Petri I, Beach T. Advances in application of machine learning to life cycle assessment: a literature review. Int J Life Cycle Assess. 2022;27(3):433–56. https://doi.org/10.1007/s11367-022-02030-3.

    Article  Google Scholar 

  265. Escalante J, Chen WH, Tabatabaei, Hoang MAT, Kwon EE, Lin KYA, Saravanakumar A. Pyrolysis of lignocellulosic, algal, plastic, and other biomass wastes for biofuel production and circular bioeconomy: A review of thermogravimetric analysis (TGA) approach. Renew Sustain Energy Rev. 2022;169:112914. https://doi.org/10.1016/j.rser.2022.112914.

    Article  CAS  Google Scholar 

  266. Noorman HJ, Heijnen JJ. Biochemical engineering’s grand adventure. Chem Eng Sci. 2017. https://doi.org/10.1016/j.ces.2016.12.065.

    Article  Google Scholar 

  267. Ibrahim NI, Shahar FS, Sultan MTH, Ain Umaira M, Shah SN, Safri A, et al. Overview of bioplastic introduction and its applications in product packaging. Coatings. 2021;11(11):1423. https://doi.org/10.3390/coatings11111423.

    Article  CAS  Google Scholar 

  268. Cherry CE, Sahoo GK. Bioplastics and CRISPR/Cas 9 mediated gene replacement to overcome the limitations of bioplastics. EduFabrica x IIT Kharagpur Springfest, Molecular Biology and Biochemistry Series 1. 2020. https://doi.org/10.13140/RG.2.2.14649.39523.

  269. Alam MdA, Xu JL, Wang Z, editors. Microalgae Biotechnology for Food, Health and High Value Products. Singapore: Springer Singapore; 2020. http://link.springer.com/10.1007/978-981-15-0169-2.

  270. Kshirsagar A. Bioremediation of wastewater by using microalgae: an experimental study. Int J LifeSc Bt & Pharm Res. 2013;02:339–46.

    Google Scholar 

  271. Troschl C, Meixner K, Fritz I, Leitner K, Romero AP, Kovalcik A, et al. Pilot-scale production of poly-β-hydroxybutyrate with the cyanobacterium Synechocytis sp. CCALA192 in a non-sterile tubular photobioreactor. Algal Research. 2018;34:116–25.

    Article  Google Scholar 

  272. Di Bartolo A, Infurna G, Dintcheva NT. A Review of Bioplastics and Their Adoption in the Circular Economy. Polymers. 2021;13:1229. https://doi.org/10.3390/polym13081229.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  273. Thakur S, Chaudhary J, Sharma B, Verma A, Tamulevicius S, Thakur VK. Sustainability of bioplastics: opportunities and challenges. Curr Opinion Green Sustain Chem. 2018;13:68–75.

    Article  Google Scholar 

  274. Chai CY, Tan IS, Foo HCY, Lam MK, Tong KTX, Lee KT. Sustainable and green pretreatment strategy of Eucheuma denticulatum residues for third-generation l-lactic acid production. Biores Technol. 2021;330:124930.

    Article  CAS  Google Scholar 

  275. Beckstrom BD, Wilson MH, Crocker M, Quinn JC. Bioplastic feedstock production from microalgae with fuel co-products: A techno-economic and life cycle impact assessment. Algal Res. 2020;46:101769.

    Article  Google Scholar 

  276. Wang K, Mandal A, Ayton E, Hunt R, Zeller MA, Sharma S. Modification of protein rich algal-biomass to form bioplastics and odor removal. In: Dhillon GS, editor. Protein by products. Academic Press; 2016. pp. 107–117. ISBN 9780128023914.

  277. Rasul I, Azeem F, Siddique MH, Muzammil S, Rasul A, Munawar A, et al. Algae biotechnology: a green light for engineered algae. In: Zia KM, Zuber M, Ali M, editors., et al., Algae Based Polymers, Blends, and Composites. Elsevier; 2017. p. 301–34.

    Chapter  Google Scholar 

  278. Samadhiya K, Sangtani R, Nogueira R, Bala K. Insightful advancement and opportunities for microbial bioplastic production. Front Microbiol. 2022;12:674864.

    Article  PubMed  PubMed Central  Google Scholar 

  279. White Worth JJ. Bioplastics market will grow by more than 400 % by 2018. European Bioplastics Conference, 2014.

  280. European algal report. The future of the EU algae sector. Policy Department for Structural and Cohesion Policies Directorate-General for Internal Policies PE 733.114 - February 2023. https://www.europarl.europa.eu/RegData/etudes/STUD/2023/733114/IPOL_STU(2023)733114_EN.pdf. Accessed 14 Apr 2024.

  281. Polyhydroxyalkanoate Market Analysis. Polyhydroxyalkanoate Market Analysis APAC, Europe, North America, South America, Middle East and Africa - US, China, Japan, India, Germany - Size and Forecast 2024–2028. https://www.technavio.com/report/polyhydroxyalkanoate-market-industry-analysis. Accessed 14 Apr 2024.

  282. Smith SR, Dupont CL, McCarthy JK, Broddrick JT, Obornik M, Horak A, et al. Evolution and regulation of nitrogen flux through compartmentalized metabolic networks in a marine diatom. Nat Commun. 2019;10:4552. https://doi.org/10.1038/s41467-019-12407-y.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  283. Luo X, Reiter MA, D’espaux L, Wong J, Denby CM, Lechner A, et al. Complete biosynthesis of cannabinoids and their unnatural analogues in yeast. Nature. 2019;567:123–6. https://doi.org/10.1038/s41586-019-0978-9.

    Article  CAS  PubMed  Google Scholar 

  284. Fabris M, Abbriano RM, Pernice M, Sutherland DL, Commault AS, Hall CC, et al. Emerging Technologies in Algal Biotechnology: Toward the Establishment of a Sustainable Algae-Based Bioeconomy. Frontiers in Plant Science. 2020;11:279. https://doi.org/10.3389/fpls.2020.00279.

    Article  PubMed  PubMed Central  Google Scholar 

  285. Ayu GE, Lubis M, Ginting MHS, Hayat N. Physical resistance of corn starch-based bioplastics at various storage temperatures. J Eng Sci Technol. 2023;18(1):235–43.

    Google Scholar 

Download references

Acknowledgements

Not applicable

Funding

No funding was received to assist with the preparation of this manuscript.

Author information

Authors and Affiliations

Authors