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Evaluation of enzymatic depolymerization of PET, PTT, and PBT polyesters

Journal Article · · Biochemical Engineering Journal

Millions of tons of waste polyester plastics, including polyethylene terephthalate (PET), polytrimethylene terephthalate (PTT), and polybutylene terephthalate (PBT), end up in the environment as soil and water contaminants. Recent advances in enzymatic polyester degradation have motivated researchers toward biorecycling of plastic wastes. Leaf-branch compost cutinase (LCC) enzymes have been proven to be effective in the biodegradation of PET. This study focuses on enzymatic depolymerization of waste PET, PTT, and PBT materials by using an ICCG variant of LCC (LCCICCG) produced from Escherichia coli BL21(DE3). The degradation efficiency of the polyesters was determined by the monomer terephthalic acid (TPA) released from the depolymerization reaction. It was found that the most efficient depolymerization was achieved for PET, followed by PTT and PBT. A kinetic model based on Langmuir adsorption and the Michaelis-Menten equation was developed to describe the enzymatic depolymerization of PET, PTT, and PBT with various enzyme and substrate loadings. The model simulation results revealed that the LCCICCG enzyme loading should be linearly increased as the work capacity of the polyester substrate increases. A specific enzyme loading of 0.91 mg/g PET is suggested to achieve 90% depolymerization of PET within three days. Furthermore, the experimental data and model simulation results can be used to help further engineer the enzyme and process to achieve a complete biodegradation of polyester wastes at large scale.

Research Organization:
University of Massachusetts, Lowell, MA (United States)
Sponsoring Organization:
USDOE
Grant/Contract Number:
EE0008930
OSTI ID:
2429441
Alternate ID(s):
OSTI ID: 1997581
Journal Information:
Biochemical Engineering Journal, Journal Name: Biochemical Engineering Journal Vol. 199; ISSN 1369-703X
Publisher:
ElsevierCopyright Statement
Country of Publication:
United States
Language:
English

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