Nanobiosensors based on on‐site detection approaches for rapid pesticide sensing in the agricultural arena: A systematic review of the current status and perspectives

Author:

Srinivasan Subramani12,Raajasubramanian Devarajan34,Ashokkumar Natarajan1,Vinothkumar Veerasamy1,Paramaguru Nagarajan5,Selvaraj Palanisamy1,Kanagalakshimi Ambothi12,Narendra Kuppan3ORCID,Shanmuga Sundaram Chinna Krishnan6,Murali Raju12

Affiliation:

1. Department of Biochemistry and Biotechnology, Faculty of Science Annamalai University Annamalainagar India

2. Research Department of Biochemistry Government Arts College for Women Krishnagiri India

3. Department of Botany, Faculty of Science Annamalai University Annamalainagar India

4. Department of Botany Thiru. A. Govindasamy Government Arts College Tindivanam India

5. Department of Maths Government Arts College for Women Krishnagiri India

6. Department of Biochemistry Hindustan College of Arts and Science Chennai India

Abstract

AbstractThe extensive use of chemical pesticides has significantly boosted agricultural food crop yields. Nevertheless, their excessive and unregulated application has resulted in food contamination and pollution in environmental, aquatic, and agricultural ecosystems. Consequently, the on‐site monitoring of pesticide residues in agricultural practices is paramount to safeguard global food and conservational safety. Traditional pesticide detection methods are cumbersome and ill‐suited for on‐site pesticide finding. The systematic review provides an in‐depth analysis of the current status and perspectives of nanobiosensors (NBS) for pesticide detection in the agricultural arena. Furthermore, the study encompasses the fundamental principles of NBS, the various transduction mechanisms employed, and their incorporation into on‐site detection platforms. Conversely, the assortment of transduction mechanisms, including optical, electrochemical, and piezoelectric tactics, is deliberated in detail, emphasizing its advantages and limitations in pesticide perception. Incorporating NBS into on‐site detection platforms confirms a vital feature of their pertinence. The evaluation reflects the integration of NBS into lab‐on‐a‐chip systems, handheld devices, and wireless sensor networks, permitting real‐time monitoring and data‐driven decision‐making in agronomic settings. The potential for robotics and automation in pesticide detection is also scrutinized, highlighting their role in improving competence and accuracy. Finally, this systematic review provides a complete understanding of the current landscape of NBS for on‐site pesticide sensing. Consequently, we anticipate that this review offers valuable insights that could form the foundation for creating innovative NBS applicable in various fields such as materials science, nanoscience, food technology and environmental science.

Publisher

Wiley

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

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