Sensitive and selective detection of Staphylococcus aureus via a dual-recognition colorimetric platform based on phenylboronic acid and IgY
Abstract Staphylococcus aureus ( S. aureus ) is one of the major food-borne pathogenic bacteria that causes epidemic and food poisoning. In this study, a colorimetric sensing platform was developed for the sensitive and selective detection of S. aureus based on the synergy between 3-aminophenylboronic acid-functionalized magnetic beads (APBA-MBs) and horseradish peroxidase labeled anti-protein A IgY (HRP-IgY). Target S. aureus bacteria can be captured on the APBA-MBs and then labelled by HRP-IgY through formation of a sandwich structure. Detection of the bacteria then involves oxidation of the colorimetric HRP substrate, thereby converting S. aureus concentrations into a detectable signal. The optimized method can be performed within 120 min, with a detection limit of 9.4 × 10 2 CFU/mL . The proposed strategy was successfully applied to detection of S. aureus in spring water and apple juice samples. The dual-recognition platform showed selectivity towards S. aureus , and other common foodborne pathogens yielded negative results. The incorporation of IgY into the proposed strategy can address the lack of selectivity observed in previously reported APBA-based methods. Our strategy has potential as a versatile platform for the sensitive detection of various bacteria using corresponding IgY.
Authors
- Yanjie Cui (ORCID: https://orcid.org/0000-0001-8114-4089)
- Yiqing Hou
- Qiongzi Wang (ORCID: https://orcid.org/0000-0002-2335-2346)
- Yi Zhang (ORCID: https://orcid.org/0000-0002-7854-1312)
- Yun Zhang (ORCID: https://orcid.org/0000-0002-3274-2792)
- Mingyong Wang (ORCID: https://orcid.org/0000-0003-1057-2603)
- Qinghe Guo (ORCID: https://orcid.org/0000-0002-0326-7478)
- Xiaohong Yang (ORCID: https://orcid.org/0000-0002-9298-7548)
- Chongyang Huo
Institutions
- Shangqiu Institute of Technology (CN)
- Henan Medical University (CN)
Publication Details
- Journal
- Journal of Analytical Science & Technology
- Published
- 2025-07-16
- DOI
- https://doi.org/10.1186/s40543-025-00501-4
- Primary Topic
- Biosensors and Analytical Detection
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Higher Education Discipline Innovation Project
- Science and Technology Innovative Research Team in Higher Educational Institutions of Hunan Province