Recent advances in acoustic wave biosensors for the detection of disease-related biomarkers: A review

被引:0
|
作者
Zhang, Junyu [1 ,2 ]
Zhang, Xiaojing [1 ]
Wei, Xinwei [1 ]
Xue, Yingying [1 ]
Wan, Hao [1 ,2 ]
Wang, Ping [1 ,2 ]
机构
[1] Biosensor National Special Laboratory, Key Laboratory for Biomedical Engineering of Education Ministry, Department of Biomedical Engineering, Zhejiang University, Hangzhou,310027, China
[2] State Key Laboratory of Transducer Technology, Chinese Academy of Sciences, Shanghai,200050, China
基金
中国国家自然科学基金;
关键词
Viruses - Biosensors - Biomarkers - Diagnosis - Medical imaging;
D O I
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中图分类号
学科分类号
摘要
In the past several decades, acoustic wave biosensors, as an emerging kind of biosensors, have been developed and widely used for the detection of mass, viscosity, conductivity and density. Varieties of applications have been explored such as medical diagnosis, drug screening, environmental monitoring, food analysis and biochemical assay. Among them, the detection of disease-related biomarkers based on acoustic sensors has aroused great research interest all over the world. In this review, the classification and characteristics of acoustic wave biosensors are briefly introduced. Then, some classical studies and recent advances in disease-related biomarker detection utilizing these biosensors are summarized and detailed, respectively. Here, the disease-related biomarkers mainly include antigens, small molecular proteins, cancer cells, viruses and VOCs. Finally, challenges and future trends of these typical acoustic wave biosensors are discussed. Compared with other reviews of acoustic wave sensors, this review highlights the great potential of typical acoustic wave biosensors for early disease screening and diagnosis compared with widely-used medical imaging. Moreover, they are integrated with other technologies for the design of multi-analyte, multi-parameter and intelligent devices, collecting more comprehensive information from biomarkers. This review provides a new perspective on the applications and optimization of acoustic wave biosensors to develop more reliable platforms for disease-related biomarker detection and disease diagnosis. © 2021 Elsevier B.V.
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