Ultrathin Conductive Bithiazole-Based Covalent Organic Framework Nanosheets for Highly Efficient Electrochemical Biosensing

被引:42
|
作者
Wei, Wenbo [1 ,2 ]
Zhou, Shenghua [1 ,2 ]
Ma, Dong-Dong [1 ]
Li, Qing [1 ,2 ]
Ran, Maoyin [1 ,2 ]
Li, Xiaofang [1 ]
Wu, Xin-Tao [1 ,2 ,3 ]
Zhu, Qi-Long [1 ,2 ,3 ]
机构
[1] Chinese Acad Sci, Fujian Inst Res Struct Matter, State Key Lab Struct Chem, Fuzhou 350002, Peoples R China
[2] Univ Chinese Acad Sci, Beijing 100049, Peoples R China
[3] Fujian Sci & Technol Innovat Lab Optoelect Informa, Fuzhou 350108, Peoples R China
基金
国家重点研发计划; 中国国家自然科学基金;
关键词
covalent organic frameworks; electrochemical biosensors; organophosphorus pesticides; ultrathin nanosheets;
D O I
10.1002/adfm.202302917
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
Covalent organic frameworks (COFs) with unique structural merits show substantial potential in the construction of biosensors. However, high-performance COF-based biosensors have rarely been reported due to special requirements for electrochemical biosensing. Here, the ultrathin nitrogen and sulfur-rich bithiazole-based COF nanosheets (COF-Bta-NSs) with the thickness of approximate to 1.95 nm are developed by using an interfacial perturbation growth strategy, and are further integrated with acetylcholinesterase (AChE) through strong supramolecular interactions to construct a high-performance biosensor for organophosphorus pesticides (OPs) detection. By virtue of the excellent electrical conductivity and abundant edge unsaturated sites of COF-Bta-NSs, such unique biosensors can be used for the detection of various OPs, showing a wide detection range, ultralow detection limit, and high stability. Significantly, the portable biosensing device is further set up based on commercialized screen-printed electrode (SPE), which is sensitive and reliable with the actual samples collected from river water and leafy vegetables, confirming the practical applicability. This research provides a novel insight into the development of advanced COF-based biosensors with excellent performance for biological and environmental analysis.
引用
收藏
页数:10
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