Development of Immunoassays for Foodborne Pathogenic Bacteria Detection Using PolyHRP for Signal Enhancement
The rapid and accurate detection of foodborne pathogens is essential for ensuring food safety. <i>Escherichia coli</i> O157:H7 (<i>E. coli</i> O157:H7) and <i>Salmonella Typhimurium</i> (<i>S. Typhimurium</i>) are major foodborne pathogenic bacteria that pose significant public health risks, highlighting the need for effective detection methods. In this study, highly sensitive double-antibody sandwich-based enzyme-linked immunosorbent assays (ELISAs) were developed for the rapid detection of <i>E. coli</i> O157:H7 and <i>S. Typhimurium</i>, utilizing a streptavidin-polymerized horseradish peroxidase (SA-PolyHRP)-based signal enhancement system. Systematic optimization was performed on key parameters, including the capture antibody concentration, detection antibody, and blocking agent. Compared to the method using SA-HRP, substitution with SA-PolyHRP significantly improved detection sensitivity, achieving limits of detection (LODs) of 1.4 × 10<sup>4</sup> CFU/mL for <i>E. coli</i> O157:H7 and 6.0 × 10<sup>3</sup> CFU/mL for <i>S. Typhimurium</i>, with sensitivity enhancements of 7.86-fold and 1.83-fold, respectively. Specificity tests confirmed no cross-reactivity with non-target or closely related pathogenic strains. The matrix effect was effectively mitigated through 10-fold and 100-fold dilutions for <i>E. coli</i> O157:H7 and <i>S. Typhimurium</i>, respectively. Both pathogens were successfully detected in beef samples spiked with 5 CFU after 5 h of incubation. This study demonstrates the effectiveness of PolyHRP-based signal enhancement for the highly sensitive and specific detection of foodborne pathogens, offering a promising approach for rapid food safety monitoring and public health protection.
Authors
- Zhihao Xu (ORCID: https://orcid.org/0000-0002-5590-0378)
- Bruce D. Hammock (ORCID: https://orcid.org/0000-0003-1408-8317)
- Junkang Pan
- Qiyi He
- Yijia Zhang (ORCID: https://orcid.org/0009-0001-6421-2331)
- Dongyang Li (ORCID: https://orcid.org/0000-0002-5603-3608)
Institutions
- Zhejiang University (CN)
- University of California, Davis (US)
Publication Details
- Journal
- Biosensors
- Published
- 2025-05-15
- DOI
- https://doi.org/10.3390/bios15050318
- Citations
- 1
- Primary Topic
- Biosensors and Analytical Detection
- Type
- article
- Field-Weighted Citation Impact
- 0.67
Funders
- National Natural Science Foundation of China
- National Institutes of Health
- National Institute of Environmental Health Sciences
- Natural Science Foundation of Zhejiang Province