Article ID Journal Published Year Pages File Type
4366891 International Journal of Food Microbiology 2014 5 Pages PDF
Abstract

•A collaborative study was performed for the detection of Salmonella in pork meat.•The study demonstrated the applicability of the alternative Real-Time PCR method.•The results show excellent diagnostic, relative specificity and relative accuracy.•The limit of detection for the Real-Time PCR was down to 10 CFU per 25 g of sample.•The results show excellent concordance and accordance values.

The classical microbiological method for detection of Salmonella spp. requires more than five days for final confirmation, and consequently there is a need for an alternative methodology for detection of this pathogen particularly in those food categories with a short shelf-life. This study presents an international (at European level) ISO 16140-based validation study of a non-proprietary Real-Time PCR-based method that can generate final results the day following sample analysis. It is based on an ISO compatible enrichment coupled to an easy and inexpensive DNA extraction and a consolidated Real-Time PCR assay. Thirteen laboratories from seven European Countries participated to this trial, and pork meat was selected as food model. The limit of detection observed was down to 10 CFU per 25 g of sample, showing excellent concordance and accordance values between samples and laboratories (100%). In addition, excellent values were obtained for relative accuracy, specificity and sensitivity (100%) when the results obtained for the Real-Time PCR-based methods were compared to those of the ISO 6579:2002 standard method. The results of this international trial demonstrate that the evaluated Real-Time PCR-based method represents an excellent alternative to the ISO standard. In fact, it shows an equal and solid performance as well as it reduces dramatically the extent of the analytical process, and can be easily implemented routinely by the Competent Authorities and Food Industry laboratories.

Related Topics
Life Sciences Agricultural and Biological Sciences Food Science
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