Literature DB >> 33579406

Fluorimetric high-throughput screening method for polyester hydrolase activity using polyethylene terephthalate nanoparticles.

Lara Pfaff1, Daniel Breite2, Christoffel P S Badenhorst1, Uwe T Bornscheuer1, Ren Wei3.   

Abstract

Biocatalysis has recently emerged as a powerful and eco-friendly technology in waste plastic recycling, especially for the widely used polyethylene terephthalate (PET). So far, however, a high-throughput screening assay specifically toward PET-hydrolyzing activity has rarely been applied. This hinders the identification of new polyester hydrolases and their variants with adequate activities fulfilling the requirements for industrial applications. This chapter describes the detailed procedure for assaying terephthalate as a major product of enzymatic PET hydrolysis in a 96-well microtiter plate format. Using PET nanoparticles derived readily from waste food packaging as a substrate, an active thermophilic PET hydrolase was clearly distinguished from an inactive variant by a Fenton chemistry-mediated fluorimetric detection. The assay uses enzymes in crude cell lysates, obtained by a simple freeze-thaw protocol. The experimental work validates the applicability of this method for screening mutant libraries of novel PET hydrolases and will thus facilitate the identification of promising variants useful for effective plastic waste recycling.
© 2021 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Fluorimetry; High-throughput screening; Nanoparticles; Polyester hydrolases; Polyethylene terephthalate

Year:  2021        PMID: 33579406     DOI: 10.1016/bs.mie.2020.11.003

Source DB:  PubMed          Journal:  Methods Enzymol        ISSN: 0076-6879            Impact factor:   1.600


  7 in total

Review 1.  Mechanism-Based Design of Efficient PET Hydrolases.

Authors:  Ren Wei; Gerlis von Haugwitz; Lara Pfaff; Jan Mican; Christoffel P S Badenhorst; Weidong Liu; Gert Weber; Harry P Austin; David Bednar; Jiri Damborsky; Uwe T Bornscheuer
Journal:  ACS Catal       Date:  2022-02-28       Impact factor: 13.084

2.  Biosensor and chemo-enzymatic one-pot cascade applications to detect and transform PET-derived terephthalic acid in living cells.

Authors:  Thomas Bayer; Lara Pfaff; Yannick Branson; Aileen Becker; Shuke Wu; Uwe T Bornscheuer; Ren Wei
Journal:  iScience       Date:  2022-04-29

3.  An Efficient Protein Evolution Workflow for the Improvement of Bacterial PET Hydrolyzing Enzymes.

Authors:  Valentina Pirillo; Marco Orlando; Davide Tessaro; Loredano Pollegioni; Gianluca Molla
Journal:  Int J Mol Sci       Date:  2021-12-27       Impact factor: 5.923

4.  Engineering and evaluation of thermostable IsPETase variants for PET degradation.

Authors:  Stefan Brott; Lara Pfaff; Josephine Schuricht; Jan-Niklas Schwarz; Dominique Böttcher; Christoffel P S Badenhorst; Ren Wei; Uwe T Bornscheuer
Journal:  Eng Life Sci       Date:  2021-11-29       Impact factor: 2.678

5.  A Coupled Ketoreductase-Diaphorase Assay for the Detection of Polyethylene Terephthalate-Hydrolyzing Activity.

Authors:  María Gimeno-Pérez; James D Finnigan; Coro Echeverria; Simon J Charnock; Aurelio Hidalgo; Diana M Mate
Journal:  ChemSusChem       Date:  2022-04-19       Impact factor: 9.140

6.  Molecular and Biochemical Differences of the Tandem and Cold-Adapted PET Hydrolases Ple628 and Ple629, Isolated From a Marine Microbial Consortium.

Authors:  Ingrid E Meyer Cifuentes; Pan Wu; Yipei Zhao; Weidong Liu; Meina Neumann-Schaal; Lara Pfaff; Justyna Barys; Zhishuai Li; Jian Gao; Xu Han; Uwe T Bornscheuer; Ren Wei; Başak Öztürk
Journal:  Front Bioeng Biotechnol       Date:  2022-07-21

7.  Multiple Substrate Binding Mode-Guided Engineering of a Thermophilic PET Hydrolase.

Authors:  Lara Pfaff; Jian Gao; Zhishuai Li; Anna Jäckering; Gert Weber; Jan Mican; Yinping Chen; Weiliang Dong; Xu Han; Christian G Feiler; Yu-Fei Ao; Christoffel P S Badenhorst; David Bednar; Gottfried J Palm; Michael Lammers; Jiri Damborsky; Birgit Strodel; Weidong Liu; Uwe T Bornscheuer; Ren Wei
Journal:  ACS Catal       Date:  2022-07-27       Impact factor: 13.700

  7 in total

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