Ultrasensitive “On–Off” Ratiometric Fluorescence Biosensor Based on RPA-CRISPR/Cas12a for Detection of <i>Staphylococcus aureus</i>
<i>Staphylococcus aureus</i> (<i>S. aureus</i>) is a major pathogenic bacterium responsible for bacterial foodborne diseases, making its rapid, specific, and accurate detection crucial. In this study, we develop a ratiometric biosensor based on the recombinase polymerase amplification-clustered regularly interspaced short palindromic repeats/CRISPR associated protein 12a (RPA-CRISPR/Cas12a) system and Eu-metal-organic framework (Eu-MOF) fluorescent nanomaterials for the high-sensitivity detection of <i>S. aureus</i>, combining with RPA for efficient isothermal amplification, this sensor enhances specificity and sensitivity by utilizing the target activation of CRISPR/Cas12a. The Eu-MOF serves a dual function, providing stable red fluorescence as a reference signal and adsorbing FAM-labeled probes for fluorescence quenching, forming a dual-signal system that significantly reduces background interference. This ratiometric design enables accurate and quantitative detection over a wide range (7.9 × 10<sup>0</sup> to 7.9 × 10<sup>8</sup> CFU/mL) with a low detection limit of 3 CFU/mL. Overall, with these merits of simplicity, rapid response, high sensitivity, and specificity, this dual-signal biosensor offers a promising method for accurately evaluating <i>S. aureus</i> contamination in food under complex substrate conditions.
Authors
- Zongbao Sun (ORCID: https://orcid.org/0000-0003-0644-1985)
- Xinai Zhang (ORCID: https://orcid.org/0000-0001-9368-7793)
- Yiqing Guo
- Hong Xu (ORCID: https://orcid.org/0000-0003-1025-0938)
- Xiaobo Zou (ORCID: https://orcid.org/0000-0001-5719-7025)
- Chen Li
- Wang Guo
Institutions
- Jiangsu University (CN)
- Xinjiang Uygur Autonomous Region Disease Prevention and Control Center (CN)
Publication Details
- Journal
- Journal of Agricultural and Food Chemistry
- Published
- 2025-01-10
- DOI
- https://doi.org/10.1021/acs.jafc.4c12202
- Citations
- 33
- Primary Topic
- Advanced biosensing and bioanalysis techniques
- Type
- article
- Field-Weighted Citation Impact
- 26.60
Funders
- Natural Science Foundation of Jiangsu Province