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Bioconversion of plastic waste based on mass full carbon backbone polymeric materials to value-added polyhydroxyalkanoates (PHAs)
Johnston, Brian Adamus, Grazyna Ekere, Anabel Itohowo
Johnston, Brian
Adamus, Grazyna
Ekere, Anabel Itohowo
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2022-09-01
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Abstract
This review article will discuss the ways in which various polymeric materials, such as polyethylene (PE), polypropylene (PP), polystyrene (PS), and poly(ethylene terephthalate) (PET) can potentially be used to produce bioplastics, such as polyhydroxyalkanoates (PHAs) through microbial cultivation. We will present up-to-date information regarding notable microbial strains that are actively used in the biodegradation of polyolefins. We will also review some of the metabolic pathways involved in the process of plastic depolymerization and discuss challenges relevant to the valorization of plastic waste. The aim of this review is also to showcase the importance of methods, including oxidative degradation and microbial-based processes, that are currently being used in the fields of microbiology and biotechnology to limit the environmental burden of waste plastics. It is our hope that this article will contribute to the concept of bio-upcycling plastic waste to value-added products via microbial routes for a more sustainable future.
Citation
Johnston B, Adamus G, Ekere AI, Kowalczuk M, Tchuenbou-Magaia F, Radecka I. (2022) Bioconversion of Plastic Waste Based on Mass Full Carbon Backbone Polymeric Materials to Value-Added Polyhydroxyalkanoates (PHAs). Bioengineering, 9(9):432. https://doi.org/10.3390/bioengineering9090432
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PubMed ID
36134978 (pubmed)
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Journal article
Language
en
Description
© 2022 The Authors. Published by MDPI. This is an open access article available under a Creative Commons licence. The published version can be accessed at the following link on the publisher’s website: https://doi.org/10.3390/bioengineering9090432
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ISSN
2306-5354
EISSN
2306-5354
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Sponsors
This research was funded by the University of Wolverhampton Research Investment Fund (RIF4), the ERDF Science in Industry Research Centre (SIRC 01R19P03464) project, and the Schlumberger Foundation Faculty for the Future Fellowship. Additionally, partial support was provided by the European Regional Development Fund Project via EnTRESS No 01R16P00718 and the PELARGODONTProjectUM0-2016/22/Z/STS/00692financedundertheM-ERA.NET2Program of Horizon 2020.
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Licence for published version: Creative Commons Attribution 4.0 International