化学农药的广泛使用大大提高了农业粮食作物的产量。然而,它们的过度和不受管制的应用导致了食品污染和环境污染,水生,农业生态系统。因此,农业实践中农药残留的现场监测对于保障全球食品和保护安全至关重要。传统的农药检测方法繁琐且不适合现场寻找农药。该系统综述对农业领域中用于农药检测的纳米生物传感器(NBS)的现状和前景进行了深入分析。此外,这项研究涵盖了国家统计局的基本原则,所采用的各种转导机制,并将其纳入现场检测平台。相反,转导机制的分类,包括光学,电化学,和压电战术,经过详细讨论,强调其在农药感知中的优势和局限性。将NBS纳入现场检测平台证实了其相关性的重要特征。评估反映了将NBS集成到芯片实验室系统中,手持设备,和无线传感器网络,允许在农艺环境中进行实时监测和数据驱动的决策。还仔细研究了机器人和自动化在农药检测中的潜力,强调他们在提高能力和准确性方面的作用。最后,这个系统的审查提供了一个完整的了解NBS的现状,现场农药传感。因此,我们预计,这次审查提供了宝贵的见解,可以为创建适用于材料科学等各个领域的创新NBS奠定基础,纳米科学,食品技术和环境科学。
The 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.