Evaluation of Pretreatment Strategies and Combinations of Enzymes for Degradation of Polyethylene Terephthalate

ABSTRACT Polyethylene Terephthalate (PET) is one of the most widely used thermoplastic polymers, renowned for its exceptional physical, chemical, and mechanical properties, making it a popular choice for various applications. On the other hand, PET is a major part of plastic waste, and therefore, research devoted to PET degradation is at the forefront of developing recycling methods. This fundamental study focuses on the enzymatic degradation of model substrate PET using a range of established cutinases (PHL‐7, HiC, LCC WT , and LCC ICCG ) alongside IsPETase under varying conditions. A comprehensive evaluation was conducted to investigate the impact of reaction temperatures, polymer pretreatment methods, and dual‐enzyme systems on enhancing PET biodegradation. The pretreatment techniques employed, targeting crystallinity reduction, enzymatic adsorption, and exchange‐surface modifications, proved pivotal in accelerating the degradation process and improving the yield of PET monomers. The novelty of this work lies in systematically studying the effects of combined pretreatment strategies on enzymatic PET degradation. Furthermore, the integration of multiple enzymes enhances the overall efficiency of PET hydrolysis. These findings provide a comparative framework that integrates enzyme performance with pretreatment effects.

Authors

Institutions

Publication Details

Journal
Journal of Polymer Science
Published
2025-05-23
DOI
https://doi.org/10.1002/pol.20250254
Citations
10
Primary Topic
Microplastics and Plastic Pollution
Type
article
Field-Weighted Citation Impact
5.04

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Evaluation of Pretreatment Strategies and Combinations of Enzymes for Degradation of Polyethylene Terephthalate

Karl‐Erich Jaeger, Shinta Rosalia Dewi, Laura Hartmann, Wolfgang R. Streit et al.
10 citations
Journal of Polymer Science
Microplastics and Plastic Pollution
5.04
article

Evaluation of Pretreatment Strategies and Combinations of Enzymes for Degradation of Polyethylene Terephthalate

Karl‐Erich Jaeger, Shinta Rosalia Dewi, Laura Hartmann, Wolfgang R. Streit, Tabea Neumann, Tobias Horbach
article en
10 citations

Abstract

ABSTRACT Polyethylene Terephthalate (PET) is one of the most widely used thermoplastic polymers, renowned for its exceptional physical, chemical, and mechanical properties, making it a popular choice for various applications. On the other hand, PET is a major part of plastic waste, and therefore, research devoted to PET degradation is at the forefront of developing recycling methods. This fundamental study focuses on the enzymatic degradation of model substrate PET using a range of established cutinases (PHL‐7, HiC, LCC WT , and LCC ICCG ) alongside IsPETase under varying conditions. A comprehensive evaluation was conducted to investigate the impact of reaction temperatures, polymer pretreatment methods, and dual‐enzyme systems on enhancing PET biodegradation. The pretreatment techniques employed, targeting crystallinity reduction, enzymatic adsorption, and exchange‐surface modifications, proved pivotal in accelerating the degradation process and improving the yield of PET monomers. The novelty of this work lies in systematically studying the effects of combined pretreatment strategies on enzymatic PET degradation. Furthermore, the integration of multiple enzymes enhances the overall efficiency of PET hydrolysis. These findings provide a comparative framework that integrates enzyme performance with pretreatment effects.

Journal of Polymer ScienceVol. 63(13)
Universität Hamburg (DE), University of Freiburg (DE), Heinrich Heine University Düsseldorf (DE)
Bundesministerium für Bildung und Forschung
Openalex Percentile: Top 4%
Microplastics and Plastic Pollution
5.04
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.