A ?peptide-target-aptamer? electrochemical biosensor for norovirus detection using a black phosphorous nanosheet@Ti3C2-Mxene nanohybrid and magnetic covalent organic framework

被引:23
|
作者
Liu, Huifang [1 ]
Ma, Siying [1 ]
Ning, Guobao [2 ]
Zhang, Runlin [3 ]
Liang, Huan [2 ]
Liu, Feng [4 ]
Xiao, Lin [2 ]
Guo, Linjiang [2 ]
Zhang, Yaping [1 ,4 ]
Li, Can-Peng [2 ]
Zhao, Hui [1 ]
机构
[1] Yunnan Univ, Sch Life Sci, Sch Ecol & Environm Sci, State Key Lab Conservat & Utilizat Bioresources Yu, Kunming 650091, Peoples R China
[2] Yunnan Univ, Sch Chem Sci & Technol, Kunming 650091, Peoples R China
[3] Univ Chinese Acad Sci Shenzhen Hosp, Med Lab, Shenzhen 518106, Peoples R China
[4] Chinese Acad Sci, Kunming Inst Zool, State Key Lab Genet Resources & Evolut, Kunming 650223, Peoples R China
基金
中国国家自然科学基金;
关键词
Norovirus; Mxene; Magnetic covalent organic framework; Electrochemical biosensor; Black phosphorous nanosheets; COLORIMETRIC DETECTION; STEP DETECTION; UNITED-STATES;
D O I
10.1016/j.talanta.2023.124433
中图分类号
O65 [分析化学];
学科分类号
070302 ; 081704 ;
摘要
Norovirus (NoV) is a major foodborne pathogen responsible for acute gastroenteritis epidemics, and establishing a robust detection method for the timely identification and monitoring of NoV contamination is of great significance. In this study, a peptide-target-aptamer sandwich electrochemical biosensor for NoV was fabricated using Au@BP@Ti3C2-MXene and magnetic Au@ZnFe2O4@COF nanocomposites. The response currents of the electrochemical biosensor were proportional to the NoV concentrations ranging from 0.01-105 copies/mL with a detection limit (LOD) of 0.003 copies/mL (S/N = 3). To our best knowledge, this LOD was the lowest among published assays to date, due to the specific recognition of the affinity peptide and aptamer for NoV and the outstanding catalytic activity of nanomaterials. Furthermore, the biosensor showed excellent selectivity, antiinterference performance, and satisfactory stability. The NoV concentrations in simulative food matrixes were successfully detected using the constructed biosensor. Meanwhile, NoV in stool samples was also successfully quantified without complex pretreatment. The designed biosensor had the potential to detect NoV (even at a low level) in foods, clinical samples, and environmental samples, providing a new method for NoV detection in food safety and diagnosing foodborne pathogens.
引用
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页数:9
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