Electrochemical and colorimetric dual-signal detection of Staphylococcus aureus enterotoxin B based on AuPt bimetallic nanoparticles loaded Fe-N-C single atom nanocomposite

被引:0
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作者
Huan Liang [1 ]
Hongcheng Liu [2 ]
Haojian Lin [3 ]
Guobao Ning [1 ]
Xiaokang Lu [1 ]
Siying Ma [4 ]
Fei Liu [3 ]
Hui Zhao [4 ]
Canpeng Li [1 ]
机构
[1] School of Chemical Science and Technology, Yunnan University, Key Laboratory of Medicinal Chemistry for Natural Resource, Ministry of Education
[2] Institute of Quality Standard and Testing Technology, Yunnan Academy of Agricultural Science, Supervision and Testing Center for Farm Product Quality, Ministry of Agriculture
[3] State Key Laboratory of Optoelectronic Materials and Technologies, Guangdong Province Key Laboratory of Display Material and Technology, School of Electronics and Information Technology, Sun Yat-sen University
[4] Laboratory for Conservation and Utilization of Bio-resource, Yunnan University
基金
中国国家自然科学基金;
关键词
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中图分类号
O657 [仪器分析法(物理及物理化学分析法)]; TS207.5 [食品污染度的测定];
学科分类号
摘要
Sensitive detection of Staphylococcus aureus enterotoxin B(SEB) is of importance for preventing food poisoning from threatening human health. In this work, an electrochemical and colorimetric dual-signal detection assay of SEB was developed. The probe(Ab2/Au Pt@Fe-N-C) was bound to SEB captured by Ab1, where the Ab2/Au Pt@Fe-N-C triggered methylene blue degradation and resulted in the decrease of electrochemical signal. Furthermore, the probe catalyzed the oxidation of 3,3’,5,5’-tetramethyl biphenyl to generate a colorimetric absorbance at 652 nm. Once the target was captured and formed a sandwich-like complex, the color changed from colorless to blue. SEB detection by colorimetric and electrochemical methods showed a linear relationship in the concentration ranges of 0.000 2–10.000 0 and 0.000 5–10.000 0 ng/m L, with limits of detection of 0.066 7 and 0.167 0 pg/m L, respectively. The dual-signal biosensor was successfully used to detect SEB in milk and water samples, which has great potential in toxin detection in food and the environment.
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页码:2025 / 2035
页数:11
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