Field-effect Transistor Biosensors Based on Nanomaterials for Zoonotic Pathogen Detection

Author:

Yahia Faiza123,Nasri Farah4,Douadji Lyes12,Thamri Atef5,Wang Deqiang12,Tlili Chaker12

Affiliation:

1. aChongqing Key Laboratory of Multi-scale Manufacturing Technology, Institute of Green and Intelligent Technology, Chinese Academy of Sciences, Chongqing, People’s Republic of China

2. bChongqing School, University of Chinese Academy of Sciences, Chongqing 400714, China

3. cUniversity of Chinese Academy of Sciences, Beijing 100049, China

4. dLaboratory of Electronics and Micro-Electronics (EμE) FSM, University of Monastir, Monastir, Tunisia

5. eCRMN, Centre for Research on Microelectronics and Nanotechnology of Sousse, NANOMISENE Lab, LR16CRMN01, Code Postal 4050, Sousse, Tunisia

Abstract

Zoonotic pathogens, including bacteria, viruses, parasites, and fungi, are widely recognized as the primary causative agents of zoonotic diseases. Consequently, the possible consequences of widespread threats to human and animal health pose a risk to livestock productivity, which in turn has the potential to destabilize global food security and economic stability. Indeed, the incidence of zoonotic infections is on the rise due to various factors such as the possible growth of universal travel and trade movement, interconnections among animal and livestock systems, and environmental changes. These effects have facilitated researchers in the development of accurate and robust biosensors to enhance the biological detection of various infections. Notably, nanomaterial-based field effect transistors have shown their potential as point-of-care diagnostic tools owing to the high surface-to-volume ratio of nanomaterials and the sensitivity of FET-based biosensors. This book chapter will mostly examine research results on the advancement of zoonotic pathogen identification using field-effect transistor (FET) nanomaterials.

Publisher

Royal Society of Chemistry

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3