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

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...

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Bibliographic Details
Published in:PloS one 2023-08, Vol.18 (8), p.e0284967-e0284967
Main Authors: Pontes, Daniela Oliveira, Costa, Dayane de Melo, da Silva Pereira, Priscilla Perez, Whiteley, Greg S, Glasbey, Trevor, Tipple, Anaclara Ferreira Veiga
Format: Article
Language:English
Subjects:
Adenosine triphosphate
Algorithms
Analysis
ATP
Biology and Life Sciences
Classification
Cleaning
Cleanliness
Contaminants
Engineering and Technology
Evaluation
Failure rates
Health risks
Hospitals
Medical equipment
Medical instruments
Medicine and Health Sciences
Monitoring
Physical Sciences
Physiological apparatus
Quality assurance
Quality control
Real time
Research and Analysis Methods
Sampling
Sterilization
Surgical apparatus & instruments
Surgical instruments
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Summary: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'
ISSN:1932-6203
1932-6203
DOI:10.1371/journal.pone.0284967