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Plastic Eating Enzymes: A Step Towards Sustainability.

Sanjay K S PatelJung-Kul Lee
Published in: Indian journal of microbiology (2022)
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.
Keyphrases
  • machine learning
  • neural network
  • computed tomography
  • human health
  • hydrogen peroxide
  • risk assessment
  • pet ct
  • drug delivery
  • heavy metals
  • copy number
  • artificial intelligence
  • weight loss
  • big data
  • genome wide
  • life cycle