JOURNAL ARTICLE

A comprehensive approach for evaluating the virucidal performance of domestic laundry detergents under practical conditions.

  • Published In: Journal of Applied Microbiology, 2024, v. 135, n. 3. P. 1 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Konkol, Justyna E; Becker, Britta; Paulmann, Dajana; Steinmann, Eike; Todt, Daniel; Meister, Toni L; Evers, Stefan; Weide, Mirko; Dotzauer, Andreas; Brill, Florian H H 3 of 3

Abstract

This article focuses on developing a laboratory-scale method using the Rotawash washing machine to assess the virucidal efficacy of domestic laundry detergents under practical conditions, based on the bacteriological standard EN 17658. The study evaluated three test viruses—murine norovirus (MNV), modified vaccinia virus Ankara (MVA), and bovine coronavirus (BCoV)—and found that MNV and MVA maintained sufficient infectivity on cotton carriers after drying and washing, while BCoV showed lower recovery and was deemed less relevant. Testing with a bleach-free detergent at 40°C demonstrated limited virucidal efficacy against the resistant non-enveloped MNV, with results from the Rotawash closely aligning with those from domestic washing machines and showing greater virus reduction than suspension tests, highlighting the importance of mechanical action in virus removal. This method provides a standardized, practical approach to evaluate laundry detergent performance in reducing viral contamination on textiles, supporting infection prevention and sustainable laundering practices.

Additional Information

  • Source:Journal of Applied Microbiology. 2024/03, Vol. 135, Issue 3, p1
  • Document Type:Article
  • Subject Area:History
  • Publication Date:2024
  • ISSN:1364-5072
  • DOI:10.1093/jambio/lxae052
  • Accession Number:176300995
  • Copyright Statement:Copyright of Journal of Applied Microbiology is the property of Oxford University Press / USA and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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