Dual-recognition fluorescent immunochromatographic strip based on IgG and antibiotic for smartphone-assisted detection of Staphylococcus aureus in food samples

Abstract

Staphylococcus aureus (S. aureus), a bacterium ubiquitously distributed in natural environments and commonly colonizing human skin and mucous membranes, is a highly pathogenic agent that poses significant threats to human health. Consequently, the development of accurate and efficient detection methods for S. aureus is of utmost importance in clinical and public health contexts. Flow chromatography is widely used for the detection of S. aureus because of its short detection time and low demand for labor and material resources. Herein, we fabricated test strip sensors with dual recognition of IgG and cefradine (CE) for S. aureus detection, achieving a high degree of specificity and a low detection limit (102 CFU mL−1). Meanwhile, by capturing images of the T-line with a smartphone to quantify its fluorescence intensity, this method enabled both qualitative and quantitative detection of S. aureus. The detection process was simple, which required no personnel training, and takes only 40 minutes, offering fast and convenient analysis. To prove the practicability, we applied the test strip sensors to orange juice, milk and beef, and they were highly sensitive (orange juice: 102 CFU mL−1, milk: 104 CFU mL−1, beef: 104 CFU mL−1), reproducible (RSD < 5.4%). Therefore, we believe the test strip sensors have a bright application prospect in the field of rapid detection of S. aureus.

Graphical abstract: Dual-recognition fluorescent immunochromatographic strip based on IgG and antibiotic for smartphone-assisted detection of Staphylococcus aureus in food samples

Supplementary files

Article information

Article type
Paper
Submitted
19 Jun 2025
Accepted
13 Aug 2025
First published
14 Aug 2025

Anal. Methods, 2025, Advance Article

Dual-recognition fluorescent immunochromatographic strip based on IgG and antibiotic for smartphone-assisted detection of Staphylococcus aureus in food samples

K. Qin, R. Bai, X. Zhao, Y. Yang, X. Wang and L. Dong, Anal. Methods, 2025, Advance Article , DOI: 10.1039/D5AY01026H

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