Evaluating the Differential Efficacy of Disinfectants Against Microbial Forms Using Logarithmic Reduction Analysis

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ID: 311557
2025
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Abstract
Background: Effective disinfection protocols are crucial in healthcare and pharmaceutical settings to mitigate infection and cross-contamination risks, especially with a growing immunocompromised population. Disinfectant efficacy varies, and understanding microbial resistance profiles is essential. This study aimed to evaluate the differential efficacy of ethanol (ET), isopropyl alcohol (IPA), and a peracetic acid-hydrogen peroxide (PA+HP) blend against diverse microbial forms (bacterial spores, fungal spores, and vegetative yeast cells) and to analyze differences in susceptibility. Methods: The efficacy of ET, IPA, and PA+HP was evaluated against Bacillus subtilis (bacterial spores), Aspergillus niger (fungal spores), Candida albicans, and Kocuria rosea (vegetative yeast cells). Logarithmic reduction (LR) values from 10 replicates per group were analyzed using nonparametric (Friedman test with Dunn’s post-hoc) and two-way omnibus tests. Results: The Friedman test revealed significant differences across microbial groups (p < 0.0001). B. subtilis showed maximal susceptibility (LR = 6.70 ± 0.00), while A. niger exhibited minimal susceptibility (LR = 3.77 ± 0.21). ET outperformed IPA against C. albicans (LR = 5.43 vs. 4.91, p = 0.0232). The microbial group accounted for 92.36% of the variance (p < 0.0001). Conclusions: Microorganism-specific disinfection strategies were emphasized by the findings. A routine disinfectant evaluation program is crucial to mitigate microbial infection and crosscontamination risk in healthcare settings. The study highlights the importance of selecting appropriate disinfectants based on microbial resistance profiles.
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eissa2025evaluating Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Mostafa Essam Eissa
Journal Yemen Journal of Medicine
Year 2025
DOI
10.63475/yjm.v4i2.0101
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Keywords Keywords not found

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