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Enzymatic modification of cotton fibre polysaccharides as an enabler of sustainable laundry detergents

Lookup NU author(s): Dr Hamish Yau, James Byard, Cassie Bakshani, Ieva Lelenaite, Professor William WillatsORCiD, Dr Neil Lant

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This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).


Abstract

© 2024. The Author(s). Cotton is the most common natural fibre used in textile manufacture, used alone or with other fibres to create a wide range of fashion clothing and household textiles. Most of these textiles are cleaned using detergents and domestic or commercial washing machines using processes that require many chemicals and large quantities of water and energy. Enzymes can reduce this environmental footprint by enabling effective detergency at reduced temperatures, mostly by directly attacking substrates present in the soils. In the present study, we report the contribution of a cleaning cellulase enzyme based on the family 44 glycoside hydrolase (GH) endo-beta-1,4-glucanase from Paenibacillus polymyxa. The action of this enzyme on textile fibres improves laundry detergent performance in several vectors including soil anti-redeposition, dye transfer inhibition and stain removal. Molecular probes are used to study how this enzyme is targeting both amorphous cellulose and xyloglucan on textile fibres and the relationship between textile surface effects and observed performance benefits.


Publication metadata

Author(s): Yau HCL, Byard J, Thompson LE, Malekpour AK, Robson T, Bakshani CR, Lelanaite I, Willats WGT, Lant NJ

Publication type: Article

Publication status: Published

Journal: Scientific Reports

Year: 2024

Volume: 14

Online publication date: 27/09/2024

Acceptance date: 13/09/2024

Date deposited: 07/10/2024

ISSN (electronic): 2045-2322

Publisher: Springer Nature

URL: https://doi.org/10.1038/s41598-024-73128-x

DOI: 10.1038/s41598-024-73128-x

Data Access Statement: Raw data included as supplementary data tables 1–6.

PubMed id: 39333324


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Funding

Funder referenceFunder name
UKRI-BBSRC

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