Plastic Eating Enzymes: A Step Towards Sustainability

被引:2
|
作者
Patel, Sanjay K. S. [1 ]
Lee, Jung-Kul [1 ]
机构
[1] Konkuk Univ, Dept Chem Engn, Seoul 05029, South Korea
基金
新加坡国家研究基金会;
关键词
Bio-degradation process; Machine learning strategy; Plastic degrading enzyme; Polyhydroxyalkanoates; Synthetic plastic; PETASE;
D O I
10.1007/s12088-022-01041-w
中图分类号
Q81 [生物工程学(生物技术)]; Q93 [微生物学];
学科分类号
071005 ; 0836 ; 090102 ; 100705 ;
摘要
The large-scale usage of petro-chemical-based plastics has proved to be a significant source of environmental pollution due to their non-biodegradable nature. Microbes-based enzymes such as esterases, cutinases, and lipases have shown the ability to degrade synthetic plastic. However, the degradation of plastics by enzymes is primarily limited by the unavailability of a robust enzymatic system, i.e., low activity and stability towards plastic degradation. Recently, the machine learning strategy involved structure-based and deep neural networks show desirable potential to generate functional, active stable, and tolerant polyethylene terephthalate (PET) degrading enzyme (FAST-PETase). FAST-PETase showed the highest PET hydrolytic activity among known enzymes or their variants and degraded broad ranges of plastics. The development of a closed-loop circular economy-based system of plastic degradation to monomers by FAST-PETase followed by the re-polymerization of monomers into clean plastics can be a more sustainable approach. As an alternative to synthetic plastics, diverse microbes can produce polyhydroxyalkanoates, and their degradation by microbes has been well-established. This article discusses recent updates in the enzymatic degradation of plastics for sustainable development.
引用
收藏
页码:658 / 661
页数:4
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