Third-generation biomass for bioplastics: a comprehensive review of microalgae-driven polyhydroxyalkanoate production

Bio-based plastics, primarily polyhydroxyalkanoates (PHAs), offer a hopeful alternative to petroleum-derived plastics. Third-generation (3G; microalgae/cyanobacteria) biomass has gained significant importance due to its rapid biomass productivity and metabolic versatility. Microalgae can produce PHA...

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Main Authors: Rijuta Ganesh Saratale, Si-Kyung Cho, Ram Naresh Bharagava, Anil Kumar Patel, Vivekanand Vivekanand, Shashi Kant Bhatia, Luiz Fernando Romanholo Ferreira, Han Seung Shin, Mukesh Kumar Awasthi, Sankha Chakrabortty, Ramesh Kumar, Ganesh Dattatraya Saratale
Format: Article
Language:English
Published: Alpha Creation Enterprise 2024-12-01
Series:Biofuel Research Journal
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Online Access:https://www.biofueljournal.com/article_210403_ecc283b458993ce388f39ea1f026ddc1.pdf
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author Rijuta Ganesh Saratale
Si-Kyung Cho
Ram Naresh Bharagava
Anil Kumar Patel
Vivekanand Vivekanand
Shashi Kant Bhatia
Luiz Fernando Romanholo Ferreira
Han Seung Shin
Mukesh Kumar Awasthi
Sankha Chakrabortty
Ramesh Kumar
Ganesh Dattatraya Saratale
author_facet Rijuta Ganesh Saratale
Si-Kyung Cho
Ram Naresh Bharagava
Anil Kumar Patel
Vivekanand Vivekanand
Shashi Kant Bhatia
Luiz Fernando Romanholo Ferreira
Han Seung Shin
Mukesh Kumar Awasthi
Sankha Chakrabortty
Ramesh Kumar
Ganesh Dattatraya Saratale
author_sort Rijuta Ganesh Saratale
collection DOAJ
description Bio-based plastics, primarily polyhydroxyalkanoates (PHAs), offer a hopeful alternative to petroleum-derived plastics. Third-generation (3G; microalgae/cyanobacteria) biomass has gained significant importance due to its rapid biomass productivity and metabolic versatility. Microalgae can produce PHAs by utilizing CO2 and wastewater, establishing them as highly promising and eco-friendly systems for bioplastic production. This comprehensive review presents comprehensive insights into microalgae-PHA production, from optimization of physicochemical and cultural conditions to effective PHA purification processes. The critical review also examines the latest advancements in cultivation strategies, metabolic engineering, and bioreactor developments, which may lead to more sustainable and progressive microalgal-based bioplastic accumulation. The effectiveness of algae biomass generation for PHA accumulation through integrated wastewater treatment has been addressed. This review examines the role of mathematical modeling and emerging artificial intelligence in advancing algae-based PHA production processes. Finally, the review concludes with a discussion of the economic and social challenges, life cycle analysis, and prospects for research and development of advanced microalgal-derived bioplastics production and predictions of potential solutions for economically feasible and sustainable microalgae-based PHA production at the industrial scale.
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institution Kabale University
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publishDate 2024-12-01
publisher Alpha Creation Enterprise
record_format Article
series Biofuel Research Journal
spelling doaj-art-db790811b1994b7c895e4a0b9a3cb77e2024-11-30T18:28:32ZengAlpha Creation EnterpriseBiofuel Research Journal2292-87822024-12-011142256228210.18331/BRJ2024.11.4.5210403Third-generation biomass for bioplastics: a comprehensive review of microalgae-driven polyhydroxyalkanoate productionRijuta Ganesh Saratale0Si-Kyung Cho1Ram Naresh Bharagava2Anil Kumar Patel3Vivekanand Vivekanand4Shashi Kant Bhatia5Luiz Fernando Romanholo Ferreira6Han Seung Shin7Mukesh Kumar Awasthi8Sankha Chakrabortty9Ramesh Kumar10Ganesh Dattatraya Saratale11Research Institute of Integrative Life Sciences, Dongguk University-Seoul, Ilsandong-gu, Goyang-si, Gyeonggido, 10326, Republic of Korea.Department of Biological and Environmental Science, Dongguk University, Ilsandong-gu, Goyang-si, Gyonggido, 10326, Republic of Korea.Department of Environmental Microbiology (DEM), Babasaheb Bhimrao Ambedkar University, Vidya Vihar, Raebareli Road, Lucknow-226 025 (U.P.), India.Institute of Aquatic Science and Technology, National Kaohsiung University of Science and Technology, Kaohsiung City, Taiwan.Centre for Energy and Environment, Malaviya National Institute of Technology, Jaipur 302017, India.Department of Biological Engineering, College of Engineering, Konkuk University, Seoul 05029, Republic of Korea.Graduate Program in Genomic Sciences and Biotechnology, Catholic University of Brasília, Brasília, 71966-700, Brazil.Department of Food Science and Biotechnology, Dongguk University-Seoul, Ilsandong-gu, Goyang-si, Gyeonggido, 10326, Republic of Korea.College of Natural Resources and Environment, Northwest A&F University, Yangling, Shaanxi Province, 712100, China.School of Chemical Engineering, KIIT Deemed to be University, Bhubaneswar, Odisha 751024, India.Department of Earth Resources & Environmental Engineering, Hanyang University, Seoul 04763, Republic of Korea.Department of Food Science and Biotechnology, Dongguk University-Seoul, Ilsandong-gu, Goyang-si, Gyeonggido, 10326, Republic of Korea.Bio-based plastics, primarily polyhydroxyalkanoates (PHAs), offer a hopeful alternative to petroleum-derived plastics. Third-generation (3G; microalgae/cyanobacteria) biomass has gained significant importance due to its rapid biomass productivity and metabolic versatility. Microalgae can produce PHAs by utilizing CO2 and wastewater, establishing them as highly promising and eco-friendly systems for bioplastic production. This comprehensive review presents comprehensive insights into microalgae-PHA production, from optimization of physicochemical and cultural conditions to effective PHA purification processes. The critical review also examines the latest advancements in cultivation strategies, metabolic engineering, and bioreactor developments, which may lead to more sustainable and progressive microalgal-based bioplastic accumulation. The effectiveness of algae biomass generation for PHA accumulation through integrated wastewater treatment has been addressed. This review examines the role of mathematical modeling and emerging artificial intelligence in advancing algae-based PHA production processes. Finally, the review concludes with a discussion of the economic and social challenges, life cycle analysis, and prospects for research and development of advanced microalgal-derived bioplastics production and predictions of potential solutions for economically feasible and sustainable microalgae-based PHA production at the industrial scale.https://www.biofueljournal.com/article_210403_ecc283b458993ce388f39ea1f026ddc1.pdfmicroalgaepolyhydroxyalkanoate productionintegrated wastewater treatmentbioreactor developmentmetabolic regulationmachine learning
spellingShingle Rijuta Ganesh Saratale
Si-Kyung Cho
Ram Naresh Bharagava
Anil Kumar Patel
Vivekanand Vivekanand
Shashi Kant Bhatia
Luiz Fernando Romanholo Ferreira
Han Seung Shin
Mukesh Kumar Awasthi
Sankha Chakrabortty
Ramesh Kumar
Ganesh Dattatraya Saratale
Third-generation biomass for bioplastics: a comprehensive review of microalgae-driven polyhydroxyalkanoate production
Biofuel Research Journal
microalgae
polyhydroxyalkanoate production
integrated wastewater treatment
bioreactor development
metabolic regulation
machine learning
title Third-generation biomass for bioplastics: a comprehensive review of microalgae-driven polyhydroxyalkanoate production
title_full Third-generation biomass for bioplastics: a comprehensive review of microalgae-driven polyhydroxyalkanoate production
title_fullStr Third-generation biomass for bioplastics: a comprehensive review of microalgae-driven polyhydroxyalkanoate production
title_full_unstemmed Third-generation biomass for bioplastics: a comprehensive review of microalgae-driven polyhydroxyalkanoate production
title_short Third-generation biomass for bioplastics: a comprehensive review of microalgae-driven polyhydroxyalkanoate production
title_sort third generation biomass for bioplastics a comprehensive review of microalgae driven polyhydroxyalkanoate production
topic microalgae
polyhydroxyalkanoate production
integrated wastewater treatment
bioreactor development
metabolic regulation
machine learning
url https://www.biofueljournal.com/article_210403_ecc283b458993ce388f39ea1f026ddc1.pdf
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