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.
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