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Digital PCR assay for the specific detection and estimation of Salmonella contamination levels in poultry rinse

Authors :
Frank J. Velez
Nethraja Kandula
Yotam Blech-Hermoni
Charlene R. Jackson
Joseph M. Bosilevac
Prashant Singh
Source :
Current Research in Food Science, Vol 9, Iss , Pp 100807- (2024)
Publication Year :
2024
Publisher :
Elsevier, 2024.

Abstract

Strains of Salmonella are a frequent cause of foodborne illness and are known to contaminate poultry products. Most Salmonella testing methods can qualitatively detect Salmonella and cannot quantify or estimate the Salmonella load in samples. Therefore, the aim of this study was to standardize and validate a partitioned-based digital PCR (dPCR) assay for the detection and estimation of Salmonella contamination levels in poultry rinses. Pure culture Salmonella strains were cultured, enumerated, cold-stressed for 48 h, and used to inoculate whole carcass chicken rinse (WCCR) at 1–4 log CFU/30 mL and enriched at 37 °C for 5 h. Undiluted DNA samples with primer and probes targeting the Salmonella-specific invA gene were used for the dPCR assay. The dPCR assay was highly specific, with a limit of detection of 0.001 ng/μL and a limit of quantification of 0.01 ng/μL. The dPCR assay further showed no PCR reaction inhibition up to 5 μg of crude DNA extract. The assays accurately detected all cold-stressed Salmonella in inoculated WCCR samples following a 5-h enrichment. Most importantly, when converted to log, the dPCR copies/μL values accurately estimated the inoculated Salmonella levels. The dPCR assay standardized in this study is a robust method for the detection and estimation of Salmonella concentration in contaminated food samples. This approach can allow same-day decision-making for poultry processors attempting to maintain limits and controls on Salmonella contamination.

Details

Language :
English
ISSN :
26659271
Volume :
9
Issue :
100807-
Database :
Directory of Open Access Journals
Journal :
Current Research in Food Science
Publication Type :
Academic Journal
Accession number :
edsdoj.022c7b1638dd4b7798c58eb4389a935f
Document Type :
article
Full Text :
https://doi.org/10.1016/j.crfs.2024.100807