Abstract：
Adherence to proper environmental cleaning practices is critical in food establishments. To validate cleanliness, cleaning practices should be routinely monitored, preferably by a rapid, reliable, and cost-effective method. The aim of this study was to determine whether a correlation exists between ATP bioluminescence measurements and selected microbial assessments in studies conducted in food establishments. A systematic literature review and meta-analysis was conducted using the principles of preferred reporting items for systematic reviews and meta-analyses. Twelve online databases and search engines were selected for the review. Peer-reviewed articles published in English between January 2000 and July 2020 were included in the search. From a total of 19 eligible studies, 3 that included Pearson correlation coefficients (r) between ATP bioluminescence measurements and microbial assessments were used for the meta-analysis calculations. Only the fixed-effect model produced a strong correlation because one value dominated the estimates: r = 0.9339 (0.9278, 0.9399). In contrast, both the random effects model, 0.2978 (0.24, 0.3471), and the mixed effects model, r = 0.3162 (-0.0387, 0.6711), indicated a weak relationship between ATP bioluminescence and microbial assessments, with no evidence of a strong correlation. The meta-analysis results indicated no sufficient evidence of a strong correlation between ATP bioluminescence measurements and microbial assessments when applied within food establishments. This lack of evidence for a strong correlation between the results of these two monitoring tools suggests that food establishments cannot depend on only one method. Yet, with immediate feedback and quantification of organic soiling, ATP bioluminescence could be an effective monitoring tool to use in food establishments.
摘要：
在食品企业中，遵守适当的环境清洁做法至关重要。为了验证清洁度，应定期监测清洁做法，最好是快速，可靠,和具有成本效益的方法。这项研究的目的是确定在食品机构进行的研究中，ATP生物发光测量与选定的微生物评估之间是否存在相关性。使用系统评价和荟萃分析的首选报告项目的原则进行了系统的文献综述和荟萃分析。选择了12个在线数据库和搜索引擎进行审查。搜索中包括了2000年1月至2020年7月以英文发表的同行评审文章。在总共19项符合条件的研究中，将包括ATP生物发光测量和微生物评估之间的Pearson相关系数(r)的图3用于荟萃分析计算。只有固定效应模型产生了很强的相关性，因为一个值主导了估计值：r=0.9339（0.9278，0.9399）。相比之下,随机效应模型，0.2978(0.24,0.3471),和混合效应模型，r=0.3162(-0.0387,0.6711),表明ATP生物发光和微生物评估之间的关系较弱，没有强烈相关性的证据。荟萃分析结果表明，在食品企业中应用时，没有足够的证据表明ATP生物发光测量与微生物评估之间存在很强的相关性。缺乏证据表明这两种监测工具的结果之间存在很强的相关性，这表明食品企业不能只依赖一种方法。然而，通过对有机污染的即时反馈和量化，ATP生物发光可能是食品场所使用的有效监测工具。
