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

<i>Staphylococcus aureus</i> (<i>S. aureus</i>), 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 <i>S. aureus</i> is of utmost importance in clinical and public health contexts. Flow chromatography is widely used for the detection of <i>S. aureus</i> 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 <i>S. aureus</i> detection, achieving a high degree of specificity and a low detection limit (10<sup>2</sup> CFU mL<sup>-1</sup>). 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 <i>S. aureus</i>. 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: 10<sup>2</sup> CFU mL<sup>-1</sup>, milk: 10<sup>4</sup> CFU mL<sup>-1</sup>, beef: 10<sup>4</sup> CFU mL<sup>-1</sup>), reproducible (RSD < 5.4%). Therefore, we believe the test strip sensors have a bright application prospect in the field of rapid detection of <i>S. aureus</i>.

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Publication Details

Journal
Analytical Methods
Published
2025-01-01
DOI
https://doi.org/10.1039/d5ay01026h
Citations
1
Primary Topic
Biosensors and Analytical Detection
Type
article
Field-Weighted Citation Impact
0.67
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article

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

Rui-Ting Bai, Xueqin Zhao, Yang Yang, Lin‐Yi Dong et al.
1 citations
Analytical Methods
Biosensors and Analytical Detection
0.67
article

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

Rui-Ting Bai, Xueqin Zhao, Yang Yang, Lin‐Yi Dong, Xianhua Wang, Kai-Xin Qin
article en
1 citations

Abstract

<i>Staphylococcus aureus</i> (<i>S. aureus</i>), 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 <i>S. aureus</i> is of utmost importance in clinical and public health contexts. Flow chromatography is widely used for the detection of <i>S. aureus</i> 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 <i>S. aureus</i> detection, achieving a high degree of specificity and a low detection limit (10<sup>2</sup> CFU mL<sup>-1</sup>). 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 <i>S. aureus</i>. 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: 10<sup>2</sup> CFU mL<sup>-1</sup>, milk: 10<sup>4</sup> CFU mL<sup>-1</sup>, beef: 10<sup>4</sup> CFU mL<sup>-1</sup>), reproducible (RSD < 5.4%). Therefore, we believe the test strip sensors have a bright application prospect in the field of rapid detection of <i>S. aureus</i>.

Analytical MethodsVol. 17(38)
Tianjin Medical University (CN)
Openalex Percentile: Top 26%
Biosensors and Analytical Detection
0.67
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Dual-recognition fluorescent immunochromatographic strip based on IgG and antibiotic for smartphone-assisted detection of <i>Staphylococcus aureus</i> in food samples — Rui-Ting Bai, Xueqin Zhao, et al. · Analytical Methods (2025) | TGRS Research Map | TGRS