典型文献
Two-dimensional material-based virus detection
文献摘要：
Cost-effective,rapid,and accurate virus detection technologies play key roles in reducing viral transmission.Prompt and accurate virus detection enables timely treatment and effective quarantine of virus carrier,and therefore effectively reduces the possibility of large-scale spread.However,conventional virus detection techniques often suffer from slow response,high cost or sophisticated procedures.Recently,two-dimensional(2D)materials have been used as promising sensing platforms for the high-performance detection of a variety of chemical and biological substances.The unique properties of 2D materials,such as large specific area,active surface interaction with biomolecules and facile surface functionalization,provide advantages in developing novel virus detection technologies with fast response and high sensitivity.Furthermore,2D materials possess versatile and tunable electronic,electrochemical and optical properties,making them ideal platforms to demonstrate conceptual sensing techniques and explore complex sensing mechanisms in next-generation biosensors.In this review,we first briefly summarize the virus detection techniques with an emphasis on the current efforts in fighting again COVID-19.Then,we introduce the preparation methods and properties of 2D materials utilized in biosensors,including graphene,transition metal dichalcogenides(TMDs)and other 2D materials.Furthermore,we discuss the working principles of various virus detection technologies based on emerging 2D materials,such as field-effect transistor-based virus detection,electrochemical virus detection,optical virus detection and other virus detection techniques.Then,we elaborate on the essential works in 2D material-based high-performance virus detection.Finally,our perspective on the challenges and future research direction in this field is discussed.
文献关键词：
中图分类号：
作者姓名：
Wenbin Wang;Wei Zhai;Ye Chen;Qiyuan He;Hua Zhang
作者机构：
Department of Materials Science and Engineering,City University of Hong Kong,Hong Kong,China;Department of Chemistry,City University of Hong Kong,Hong Kong,China;Department of Chemistry,The Chinese University of Hong Kong,Shatin,Hong Kong,China;Hong Kong Branch of National Precious Metals Material Engineering Research Center(NPMM),City University of Hong Kong,Hong Kong,China;Shenzhen Research Institute,City University of Hong Kong,Shenzhen 518057,China
文献出处：
引用格式：
[1]Wenbin Wang;Wei Zhai;Ye Chen;Qiyuan He;Hua Zhang-.Two-dimensional material-based virus detection)[J].中国科学:化学（英文版）,2022(03):497-513
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0.582368
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