Patel Sanjay K S, Lee Jung-Kul
Department of Chemical Engineering, Konkuk University, Seoul, 05029 Republic of Korea.
Indian J Microbiol. 2022 Dec;62(4):658-661. doi: 10.1007/s12088-022-01041-w. Epub 2022 Sep 26.
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.
由于石化基塑料不可生物降解,其大规模使用已被证明是环境污染的一个重要来源。基于微生物的酶,如酯酶、角质酶和脂肪酶,已显示出降解合成塑料的能力。然而,酶对塑料的降解主要受到强大酶系统可用性的限制,即对塑料降解的活性和稳定性较低。最近,基于结构和深度神经网络的机器学习策略显示出产生功能性、活性稳定且耐受性好的聚对苯二甲酸乙二酯(PET)降解酶(FAST-PETase)的理想潜力。FAST-PETase在已知酶或其变体中显示出最高的PET水解活性,并能降解多种塑料。通过FAST-PETase将塑料降解为单体,然后将单体重新聚合成清洁塑料,开发基于闭环循环经济的塑料降解系统可能是一种更可持续的方法。作为合成塑料的替代品,多种微生物可以产生聚羟基脂肪酸酯,并且微生物对它们的降解已得到充分证实。本文讨论了塑料酶促降解以实现可持续发展的最新进展。