Towards consolidated bioprocessing of biomass and plastic substrates for semi-synthetic production of bio-poly(ethylene furanoate) (PEF) polymer using omics-guided construction of artificial microbial consortia

IF 3.4 3区 生物学 Q2 BIOTECHNOLOGY & APPLIED MICROBIOLOGY
Mohd Norfikri Omar , Matthlessa Matthew Minggu , Nor Azlan Nor Muhammad , Peer Mohamed Abdul , Ying Zhang , Ahmad Bazli Ramzi
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Abstract

Poly(ethylene furanoate) (PEF) plastic is a 100% renewable polyester that is currently being pursued for commercialization as the next-generation bio-based plastic. This is in line with growing demand for circular bioeconomy and new plastics economy that is aimed at minimizing plastic waste mismanagement and lowering carbon footprint of plastics. However, the current catalytic route for the synthesis of PEF is impeded with technical challenges including high cost of pretreatment and catalyst refurbishment. On the other hand, the semi-biosynthetic route of PEF plastic production is of increased biotechnological interest. In particular, the PEF monomers (Furan dicarboxylic acid and ethylene glycol) can be synthesized via microbial-based biorefinery and purified for subsequent catalyst-mediated polycondensation into PEF. Several bioengineering and bioprocessing issues such as efficient substrate utilization and pathway optimization need to be addressed prior to establishing industrial-scale production of the monomers. This review highlights current advances in semi-biosynthetic production of PEF monomers using consolidated waste biorefinery strategies, with an emphasis on the employment of omics-driven systems biology approaches in enzyme discovery and pathway construction. The roles of microbial protein transporters will be discussed, especially in terms of improving substrate uptake and utilization from lignocellulosic biomass, as well as from depolymerized plastic waste as potential bio-feedstock. The employment of artificial bioengineered microbial consortia will also be highlighted to provide streamlined systems and synthetic biology strategies for bio-based PEF monomer production using both plant biomass and plastic-derived substrates, which are important for circular and new plastics economy advances.

利用组学指导构建人工微生物群,实现生物质和塑料基质的综合生物加工,以半合成生产生物聚(乙烯呋喃酸)(PEF)聚合物
聚(呋喃乙烯)酸乙二醇酯(PEF)塑料是一种 100% 可再生的聚酯,作为下一代生物基塑料,目前正在寻求商业化。这符合人们对循环生物经济和新塑料经济日益增长的需求,其目的是最大限度地减少塑料废物的不当管理,降低塑料的碳足迹。然而,目前合成 PEF 的催化路线面临着预处理和催化剂翻新成本高昂等技术挑战。另一方面,PEF 塑料生产的半生物合成路线越来越受到生物技术的关注。特别是,全氟聚醚单体(呋喃二甲酸和乙二醇)可通过微生物生物炼制合成,并在随后的催化剂缩聚反应中纯化为全氟聚醚。在建立工业规模的单体生产之前,需要解决一些生物工程和生物加工问题,如底物的高效利用和途径优化。本综述重点介绍了目前在利用综合废物生物炼制策略半生物合成生产 PEF 单体方面取得的进展,并着重介绍了在酶发现和途径构建过程中采用的以观测指标为驱动的系统生物学方法。将讨论微生物蛋白质转运体的作用,特别是在改善木质纤维素生物质以及作为潜在生物原料的解聚塑料废弃物的底物吸收和利用方面。此外,还将强调人工生物工程微生物联合体的应用,为利用植物生物质和塑料衍生基质生产生物基全氟乙烯单体提供简化系统和合成生物学策略,这对循环经济和新塑料经济的发展非常重要。
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来源期刊
Enzyme and Microbial Technology
Enzyme and Microbial Technology 生物-生物工程与应用微生物
CiteScore
7.60
自引率
5.90%
发文量
142
审稿时长
38 days
期刊介绍: Enzyme and Microbial Technology is an international, peer-reviewed journal publishing original research and reviews, of biotechnological significance and novelty, on basic and applied aspects of the science and technology of processes involving the use of enzymes, micro-organisms, animal cells and plant cells. We especially encourage submissions on: Biocatalysis and the use of Directed Evolution in Synthetic Biology and Biotechnology Biotechnological Production of New Bioactive Molecules, Biomaterials, Biopharmaceuticals, and Biofuels New Imaging Techniques and Biosensors, especially as applicable to Healthcare and Systems Biology New Biotechnological Approaches in Genomics, Proteomics and Metabolomics Metabolic Engineering, Biomolecular Engineering and Nanobiotechnology Manuscripts which report isolation, purification, immobilization or utilization of organisms or enzymes which are already well-described in the literature are not suitable for publication in EMT, unless their primary purpose is to report significant new findings or approaches which are of broad biotechnological importance. Similarly, manuscripts which report optimization studies on well-established processes are inappropriate. EMT does not accept papers dealing with mathematical modeling unless they report significant, new experimental data.
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