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Optimizing Detergents for Cold-Wash with Enzymes using Design of Experiments.

  • Published In: SOFW Journal (English version), 2025, v. 151, n. 10. P. 12 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Mena-Brito, R.; Sidharth, R. 3 of 3

Abstract

Cold-water laundry detergents are gaining traction for their energy savings and environmental advantages. Enzymes like proteases, lipases, amylases, and cellulases enhance cleaning in cold water, effectively breaking down stains. Traditional detergent ingredients struggle in cold water, but enzymes remain active, ensuring efficient stain removal. To optimize cold-wash detergents, we utilize the C.L.E.A.N. approach, which streamlines formulation through automation and predictive tools. The five steps include clarifying challenges, limiting ingredient space, experimenting with formulations, analyzing interactions, and achieving optimized formulas. Our experiments, guided by Design of Experiments (DoE) and Response Surface Modeling (RSM), focus on balancing performance, cost, and environmental impact. Results show that by using the C.L.E.A.N. approach a laundry detergent prototype can be formulated that is cost effective and has an outstanding performance at low temperature. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:SOFW Journal (English version). 2025/10, Vol. 151, Issue 10, p12
  • Document Type:Article
  • Subject Area:Science
  • Publication Date:2025
  • ISSN:2750-2937
  • Accession Number:188376960
  • Copyright Statement:Copyright of SOFW Journal (English version) is the property of Verlag fuer chemische Industrie H. Ziolkowsky GmbH 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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