Field effect transistor based wearable biosensors for healthcare monitoring

被引:0
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作者
Thi Thanh-Ha Nguyen
Cong Minh Nguyen
Minh Anh Huynh
Hoang Huy Vu
Tuan-Khoa Nguyen
Nam-Trung Nguyen
机构
[1] Griffith University,Queensland Micro
[2] Griffith University, and Nanotechnology Centre
[3] Griffith University,School of Engineering and Built Environment
关键词
Field effect transistor; bioFET; Wearable device; Biosensor; Non-invasive monitoring; Sweat; Tear; Saliva; Interstitial fluid;
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学科分类号
摘要
The rapid advancement of wearable biosensors has revolutionized healthcare monitoring by screening in a non-invasive and continuous manner. Among various sensing techniques, field-effect transistor (FET)-based wearable biosensors attract increasing attention due to their advantages such as label-free detection, fast response, easy operation, and capability of integration. This review explores the innovative developments and applications of FET-based wearable biosensors for healthcare monitoring. Beginning with an introduction to the significance of wearable biosensors, the paper gives an overview of structural and operational principles of FETs, providing insights into their diverse classifications. Next, the paper discusses the fabrication methods, semiconductor surface modification techniques and gate surface functionalization strategies. This background lays the foundation for exploring specific FET-based biosensor designs, including enzyme, antibody and nanobody, aptamer, as well as ion-sensitive membrane sensors. Subsequently, the paper investigates the incorporation of FET-based biosensors in monitoring biomarkers present in physiological fluids such as sweat, tears, saliva, and skin interstitial fluid (ISF). Finally, we address challenges, technical issues, and opportunities related to FET-based biosensor applications. This comprehensive review underscores the transformative potential of FET-based wearable biosensors in healthcare monitoring. By offering a multidimensional perspective on device design, fabrication, functionalization and applications, this paper aims to serve as a valuable resource for researchers in the field of biosensing technology and personalized healthcare.
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