Nazma Sultana Lupin, Birgit Fritz, Siegfried Wahl, Markus Egert
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引用次数: 0
Abstract
Objective: Microbial contamination on used spectacles poses a potential health risk to spectacle wearers and people regularly working with worn spectacles, such as opticians. ATP measurement is widely used to evaluate the cleanliness of surfaces based on the detection of adenosine triphosphate, a molecule found in and around living cells. In this study, we investigated the suitability of this method to rapidly and easily evaluate the efficacy of different cleaning methods for spectacles. Additionally, we examined the correlation between ATP content on spectacle surfaces with aerobic and anaerobic bacterial colony counts. We swab-sampled worn spectacles and used an ATP bioluminescence assay to assess the level of cellular contamination.
Results: Six cleaning methods were tested on ten worn spectacles each, and ATP levels were correlated with both aerobic and anaerobic bacterial counts. All investigated cleaning methods showed a significant median reduction of the ATP content on spectacle surfaces, between 75 and 93%. Germ counts and ATP levels showed no significant correlation for aerobic but for anaerobic cultivation. Higher anaerobic germ counts correlated positively with higher ATP levels. ATP measurement is a suitable method to rapidly and easily demonstrate the efficacy of cleaning measures for spectacle surfaces also under non laboratory conditions.
BMC Research NotesBiochemistry, Genetics and Molecular Biology-Biochemistry, Genetics and Molecular Biology (all)
CiteScore
3.60
自引率
0.00%
发文量
363
审稿时长
15 weeks
期刊介绍:
BMC Research Notes publishes scientifically valid research outputs that cannot be considered as full research or methodology articles. We support the research community across all scientific and clinical disciplines by providing an open access forum for sharing data and useful information; this includes, but is not limited to, updates to previous work, additions to established methods, short publications, null results, research proposals and data management plans.