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Adenosine triphosphate (ATP) sampling algorithm for monitoring the cleanliness of surgical instruments

Daniela Oliveira Pontes, Dayane de Melo Costa, Priscilla Perez da Silva Pereira, Greg S Whiteley, Trevor Glasbey and Anaclara Ferreira Veiga Tipple

PLOS ONE, 2023, vol. 18, issue 8, 1-11

Abstract: Background: Timely detection of cleaning failure is critical for quality assurance within Sterilising Service Units (SSUs). Rapid Adenosine Triphosphate (ATP) testing provides a real time and quantitative indication of cellular contaminants, when used to measure surface or device cleanliness. The aim of this study was to investigate the use of an ATP algorithm and to whether it could be used as a routine quality assurance step, to monitor surgical instruments cleanliness in SSUs prior to sterilisation. Methods: Cleanliness monitoring using rapid ATP testing was undertaken in the SSUs of four hospitals located in the western (Amazonia) region of Brazil. ATP testing was conducted (Clean Trace, 3M) on 163 surgical instruments, following manual cleaning. A sampling algorithm using a duplicate swab approach was applied to indicate surgical instruments as (i) very clean, (ii) clean, (iii) equivocal or (iv) fail, based around a ‘clean’ cut-off of 250 Relative Light Units (RLU) and a ‘very clean’

Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:plo:pone00:0284967

DOI: 10.1371/journal.pone.0284967

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