Simultaneous Detection of Four Foodborne Pathogens in Raw Freshwater Fish Using High-Resolution Melting Analysis

Many countries around the world feature raw fish in their cuisine, which is valued for its unique flavor. However, raw fish may be easily contaminated with foodborne pathogens including <i>Listeria monocytogenes</i>, <i>Salmonella</i>, <i>Vibrio parahaemolyticus</i>, and <i>Staphylococcus aureus</i>. Herein, a method was established that integrated a multiplex polymerase chain reaction (PCR) and high-resolution melting (HRM) curve assay for the simultaneous detection of these four foodborne pathogens. The target genes of the bacteria were amplified by PCR and subsequently analyzed using HRM. Differentiation was achieved based on the melting temperature (Tm) values of their respective amplicons. The detection limit of the PCR-HRM assay was 0.02-0.1 ng/µL. In addition, the Tm remained nearly constant across various concentrations of genomic DNA derived from the target bacteria. The assay demonstrated perfect specificity (8/8) and a sensitivity of 5/5 for <i>L. monocytogenes</i>, 2/2 for <i>Salmonella</i>, 3/3 for <i>V. parahaemolyticus</i>, and 3/3 for <i>S. aureus</i>. No significant interference occurred when genomic DNA from the four target bacteria was co-extracted with DNA from eight non-target strains. Furthermore, the assay offers advantages including operational simplicity, high efficiency, accurate results, reduced detection time, and lower costs, rendering it well-suited for food safety applications in the aquatic products processing industry.

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Publication Details

Journal
Foods
Published
2025-09-15
DOI
https://doi.org/10.3390/foods14183202
Primary Topic
Identification and Quantification in Food
Type
article
Field-Weighted Citation Impact
0.00

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article

Simultaneous Detection of Four Foodborne Pathogens in Raw Freshwater Fish Using High-Resolution Melting Analysis

Shan Shan, Wenyu Du, Haiyan Ni, Yujie Zhai et al.
Foods
Identification and Quantification in Food
article

Simultaneous Detection of Four Foodborne Pathogens in Raw Freshwater Fish Using High-Resolution Melting Analysis

Shan Shan, Wenyu Du, Haiyan Ni, Yujie Zhai, Long Cheng, Xiao‐Mei Sha, Kui Zhao, Chengwei Liu, Xiaoqing Liu, Fang Yan, Xiaoyu Tong, Daofeng Liu, Shuanglong Wang, Yin Chen
article en

Abstract

Many countries around the world feature raw fish in their cuisine, which is valued for its unique flavor. However, raw fish may be easily contaminated with foodborne pathogens including <i>Listeria monocytogenes</i>, <i>Salmonella</i>, <i>Vibrio parahaemolyticus</i>, and <i>Staphylococcus aureus</i>. Herein, a method was established that integrated a multiplex polymerase chain reaction (PCR) and high-resolution melting (HRM) curve assay for the simultaneous detection of these four foodborne pathogens. The target genes of the bacteria were amplified by PCR and subsequently analyzed using HRM. Differentiation was achieved based on the melting temperature (Tm) values of their respective amplicons. The detection limit of the PCR-HRM assay was 0.02-0.1 ng/µL. In addition, the Tm remained nearly constant across various concentrations of genomic DNA derived from the target bacteria. The assay demonstrated perfect specificity (8/8) and a sensitivity of 5/5 for <i>L. monocytogenes</i>, 2/2 for <i>Salmonella</i>, 3/3 for <i>V. parahaemolyticus</i>, and 3/3 for <i>S. aureus</i>. No significant interference occurred when genomic DNA from the four target bacteria was co-extracted with DNA from eight non-target strains. Furthermore, the assay offers advantages including operational simplicity, high efficiency, accurate results, reduced detection time, and lower costs, rendering it well-suited for food safety applications in the aquatic products processing industry.

FoodsVol. 14(18)
Nanchang University (CN), Nanchang Normal University (CN), East China University of Technology (CN), Nanchang Center for Disease Control and Prevention (CN), Jiangxi Normal University (CN)
National Natural Science Foundation of China, Health Commission of Jiangxi Province
Openalex Percentile: Top 78%
Identification and Quantification in Food
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