Abstract
A novel sandwich strategy based on the dual recognition by teicoplanin (Teic) and IgG was developed for the rapid separation and identification of Staphylococcus aureus. This dual-recognition strategy was established using Teic-functionalized bovine serum albumin-PEGylated magnetic nanoparticles (Teic-BSA-PEG-MNPs) as the broad-spectrum capture probes for efficient isolation of gram-positive bacteria and IgG-functionalized quantum dots (QDs) as the signal probes for specific and sensitive detection of target bacteria in spiked foods. As a broad-spectrum antibiotic, Teic was introduced to replace antibodies to recognize S. aureus owing to the strong binding between Teic and bacterial cell wall. The construction of BSA-PEG provides an excellent molecular backbone carrier for high Teic loading capacity, allowing for multivalent interactions toward S. aureus. The application of Teic-BSA-PEG-MNPs allowed for satisfactory concentration and capture of S. aureus with a capture efficiency of as high as 75.62% in beef sample within 45 min, even at high bacterial concentrations of 3 × 106 CFU/mL. By integrating the enrichment of the Teic-BSA-PEG-MNPs nanoplatform and the sensitive fluorescence detection of the IgG-functionalized QDs, the detection of S. aureus was linear within the range of 3 × 101 to 3 × 106 CFU/mL, with a sensitivity of 30 CFU/mL. The low cost and sensitivity of this strategy show that it has a considerable potential application in food safety monitoring.
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Funding
The work was supported by the National Key R&D Program of China (2018YFC1602500), Research Foundation from Academic and Technical Leaders of Major Disciplines in Jiangxi Province, China (20194BCJ22004), and Research Foundation from State Key Laboratory of Food Science and Technology, Nanchang University, China (SKLF-ZZA-201912).
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Jin Huang and Guanhua Chen are co-first authors.
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Huang, J., Chen, G., Sun, Y. et al. A Dual-Recognition Strategy for Staphylococcus aureus Detection Using Teicoplanin-Modified Magnetic Nanoparticles and IgG-Functionalized Quantum Dots. Food Anal. Methods 15, 1968–1978 (2022). https://doi.org/10.1007/s12161-022-02256-9
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DOI: https://doi.org/10.1007/s12161-022-02256-9