ArticleIranian journal of microbiology2023
Physicochemical characterization of reusable facemasks and theoretical adhesion by a challenged bacterium.
Article in Iranian journal of microbiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
2 citing papers in PubMed, 5 citations in OpenAlex.
- Physicochemical Characterization of Gallstone Surfaces to Predict Their Interaction with Salmonella Typhi.Current microbiology · 2025Article
- Assessing the Levels and Types of Bacterial Contamination in Cosmetic Brushes: Implications for Beauty and Hygiene in Jeddah City.International journal of microbiology · 2025Article
Corrections and comments
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Authors and funding
6 authors at 2 institutions in 2 countries.
Funding
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Abstract
Background and Objectives: Adhesion of microorganisms on facemask surfaces is a major problem that produces contamination of the mask wearer either by inhalation or by direct contact. Generally, physicochemical properties of the material and the microorganism are responsible for this adhesion and are also reported to influence the filtration efficiency of facemasks. However, theses surface proprieties and their effect on particles attachment on facemask materials remain poorly documented. The purpose of this study was to investigate the physicochemical properties of seven facemasks and evaluate the influence of these characteristics on the adhesion of Materials and Methods: Physicochemical properties is done by contact angle method and scanning electron microscopy while theoretical adhesion of Results: The obtained results showed that all masks have a hydrophobic character. The electron donor and electron acceptor parameters change depending on each mask. Chemical analysis demonstrates the presence of two chemical elements (carbon and oxygen). Predictive adhesion demonstrate that Conclusion: Such information is valuable to understand attachment of biological particles and to contribute in the inhibition of this attachment.
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