journal article·2025-12-17

Immobilization of PETase on Magnetic Nanoparticles Enhances Their Stability and Activity for Efficient Degradation of Polyethylene Terephthalate

Kairui Zhai, Tathagata Pal, Zilong Liu, Xiaodong Lin, Yujie Men, Juhong Chen

ACS Applied Materials & Interfaces· Volume 17· Issue 50
Publisher page

Abstract

Polyethylene terephthalate (PET) is a widely used thermoplastic, but its environmental persistence has become a growing concern. Compared with conventional PET recycling methods, enzymatic degradation of PET waste provides an eco-friendly alternative. Among various PET-degrading enzymes, PETase from Ideonella sakaiensis has attracted significant attention for its high selectivity for PET degradation. However, the practical deployment of PETase remains limited by low operational stability, poor tolerance to harsh conditions, and a lack of reusability. It is still challenging to degrade PET on a large scale. To address these challenges, we developed a nanointerface biocatalytic platform by covalently modifying PETase WT and its variant (PETase FAST ) onto silica-coated magnetic nanoparticles (Fe 3 O 4 @SiO 2 MNP) to degrade PET waste. This platform preserves the enzymatic activity of PETases while improving their tolerance to temperature, pH, and organic solvents. Immobilized PETases (PETase WT and PETase FAST ) exhibited higher PET degradation efficiency than their free counterparts and retained over 50% activity after seven reuse cycles. The degradation of postconsumer plastic bottles confirmed the system’s robustness and real-world applicability. This work addresses key challenges in enzyme stability and reuse in enzymatic PET depolymerization, providing insights that could inform future scalable circular strategies.
Source: openalex_inverted_index · Quality: baseline

Research context

OpenAlex topics: Microplastics and Plastic Pollution · biodegradable polymer synthesis and properties · Enzyme Production and Characterization

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Department of Bioengineering

University of California Riverside

Department of Chemical and Environmental Engineering

Funding

National Institute of Food and Agriculture

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