The Rapid Detection of Salmonella enterica, Listeria monocytogenes, and Staphylococcus aureus via Polymerase Chain Reaction Combined with Magnetic Beads and Capillary Electrophoresis

Author:

Ndraha Nodali1ORCID,Lin Hung-Yun12ORCID,Tsai Shou-Kuan3,Hsiao Hsin-I4,Lin Han-Jia1ORCID

Affiliation:

1. Department of Bioscience and Biotechnology, National Taiwan Ocean University, Keelung 202301, Taiwan

2. Center of Excellence for the Oceans, National Taiwan Ocean University, Keelung 202301, Taiwan

3. BiOptic Inc., New Taipei City 23141, Taiwan

4. Department of Food Science, National Taiwan Ocean University, Keelung 202301, Taiwan

Abstract

Food safety concerns regarding foodborne pathogen contamination have gained global attention due to its significant implications. In this study, we developed a detection system utilizing a PCR array combined with an automated magnetic bead-based system and CE technology to enable the detection of three foodborne pathogens, namely Salmonella enterica, Listeria monocytogenes, and Staphylococcus aureus. The results showed that our developed method could detect these pathogens at concentrations as low as 7.3 × 101, 6.7 × 102, and 6.9 × 102 cfu/mL, respectively, in the broth samples. In chicken samples, the limit of detection for these pathogens was 3.1 × 104, 3.5 × 103, and 3.9 × 102 cfu/g, respectively. The detection of these pathogens was accomplished without the necessity for sample enrichment, and the entire protocols, from sample preparation to amplicon analysis, were completed in approximately 3.5 h. Regarding the impact of the extraction method on detection capability, our study observed that an automated DNA extraction system based on the magnetic bead method demonstrated a 10-fold improvement or, at the very least, yielded similar results compared to the column-based method. These findings demonstrated that our developed model is effective in detecting low levels of these pathogens in the samples analyzed in this study. The PCR-CE method developed in this study may help monitor food safety in the future. It may also be extended to identify other foodborne pathogens across a wide range of food samples.

Funder

National Science and Technology Council

Publisher

MDPI AG

Subject

Plant Science,Health Professions (miscellaneous),Health (social science),Microbiology,Food Science

Reference73 articles.

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4. Chen, L., Sun, L., Zhang, R., Liao, N., Qi, X., and Chen, J. (2022). Surveillance for Foodborne Disease Outbreaks in Zhejiang Province, China, 2015–2020. BMC Public Health, 22.

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