A New Peptide Nucleic Acid Fluorescence In Situ Hybridization Probe for the Specific Detection of Salmonella Species in Food Matrices

• Type: Article in International Scientific Journal
• Date: 2024-05-10

Authors

Laura Cerqueira (Author) FEUP; Mário Sousa (Author) Other; Rui Rocha (Author) Other; Daniela Araújo (Author) Other; Joana Castro (Author) Other; Ana Barbosa (Author) Other; Azevedo, NF (Author) FEUP; Almeida, C (Author) Other

Journal

The Journal is awaiting validation by the Administrative Services.

Title: FOODBORNE PATHOGENS AND DISEASE

Vol. 21

Pages: 298-305

ISSN: 1535-3141

Indexing

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Other information

Authenticus ID: P-010-7A3

DOI: 10.1089/fpd.2023.0127

Abstract (EN): Salmonella spp. is among the most central etiological agents in foodborne bacterial disorders. To identify Salmonella spp., numerous new molecular techniques have been developed conversely to the traditional culture-based methods. In this work, a new peptide nucleic acid fluorescence in situ hybridization (PNA-FISH) method was developed for the specific detection of Salmonella species, allowing a faster analysis compared with the traditional methods (ISO 6579-1: 2017). The method was optimized based on a novel PNA probe (SalPNA1692) combined with a blocker probe to detect Salmonella in food samples through an assessment of diverse-rich and selective enrichment broths. Our findings indicated that the best outcome was obtained using a 24-h pre-enrichment step in buffered peptone water, followed by RambaQuick broth selective enrichment for 16 h. For the enrichment step performance validation, fresh ground beef was artificially contaminated with two ranges of concentration of inoculum: a low level (0.2-2 colony-forming units [CFUs]/25 g) and a high level (2-10 CFUs/25 g). The new PNA-FISH method presented a specificity of 100% and a detection limit of 0.5 CFU/25 g of food sample, which confirms the great potential of applying PNA probes in food analysis.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 8