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A Pilot Study for Identification of Salmonella in Food Processing Plants by Real-Time PCR Screening

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Abstract

Salmonella remains a major public health concern worldwide. Microbiological methods are the gold standard for Salmonella detection. These methods are highly specific, but their sensitivity is variable. Moreover, they are lengthy, labour intensive and not always consistent with the speed of food manufacturing processes. Thus, in the food industry, there is the need for more rapid, sensitive and accurate detection methods. The purpose of this study is to describe a Salmonella-monitoring scheme in different food processing plants based on a screening approach by a commercial real-time polymerase chain reaction (PCR) kit and subsequent confirmation of positive molecular results by the reference microbiological method. This scheme was tested on a total of 4,693 samples, 90 of which were positive with the real-time PCR screening; 52 of the positive samples were eventually confirmed by the microbiological method. The real-time PCR kit was tested in comparison to the microbiological method in order to evaluate its performances and drawbacks. The comparison between cycle threshold (Ct) values of real-time PCR and the microbiological results (Wilcoxon rank sum test) showed a statistically significant difference between the Ct values of bacteriological positive and bacteriological negative samples (p value, <0.05). Furthermore, receiver operating characteristic curve analysis was used to identify the Ct value ensuring the lowest level of misclassification between Salmonella-positive and negative samples. The present study confirms that the real-time PCR kit tested could be used as a screening tool, leading to a rapid and sensitive identification of Salmonella and confining bacteriological confirmation to samples previously identified as positive.

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Correspondence to Antonia Ricci.

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Lettini, A.A., Barco, L., Mancin, M. et al. A Pilot Study for Identification of Salmonella in Food Processing Plants by Real-Time PCR Screening. Food Anal. Methods 5, 988–994 (2012). https://doi.org/10.1007/s12161-011-9352-8

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  • DOI: https://doi.org/10.1007/s12161-011-9352-8

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