用于农业土壤中重金属污染物快速检测的新兴纳米传感器技术。

IF 2.6 3区 化学 Q2 CHEMISTRY, ANALYTICAL
Anyou Xie, Weihong Wu
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引用次数: 0

摘要

农业土壤中重金属的积累对食品安全和人类健康构成越来越大的威胁。传统的基于实验室的重金属检测方法虽然灵敏度很高,但由于其成本、复杂性和缺乏可移植性,对于广泛、实时的土壤监测是不切实际的。因此,纳米传感器技术作为一种很有前途的替代技术出现了,它提供了快速、敏感和可现场部署的检测平台。本文综述了电化学和光学纳米传感器用于土壤环境中痕量金属分析的现状。电化学平台,特别是那些采用纳米材料修饰的丝网印刷电极和阳极溶出伏安法的电化学平台,显示出出色的灵敏度和便携性,尽管在实现选择性和减轻基质干扰方面仍然存在挑战。光学纳米传感器,包括比色、荧光和基于表面增强拉曼散射(SERS)的系统,提供多种检测机制和超低检测限,但往往受到土壤浊度、生物污垢和基质不稳定性的限制。特别关注金属有机框架,碳基纳米材料和“绿色”量子点等先进材料的集成,旨在提高传感器性能和环境安全性。本文还探讨了纳米传感器部署与数据科学的融合,强调了机器学习在信号反卷积、校准和实时决策支持中的作用。最后,文章强调了未来的发展方向,包括防污涂料的发展、可持续的制造方法、多路检测阵列和通过物联网集成的传感器网络。综上所述,这些进步为构建对精准农业和环境管理至关重要的强大、智能和可扩展的土壤监测系统指明了一条道路。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Emerging nanosensor technologies for the rapid detection of heavy metal contaminants in agricultural soils.

The accumulation of heavy metals in agricultural soils presents a growing threat to food safety and human health. Conventional laboratory-based methods for heavy metal detection, while highly sensitive, are impractical for widespread, real-time soil monitoring due to their cost, complexity, and lack of portability. In response, nanosensor technologies have emerged as promising alternatives, offering rapid, sensitive, and field-deployable detection platforms. This review critically examines the current landscape of electrochemical and optical nanosensors engineered for trace metal analysis in soil environments. Electrochemical platforms, particularly those employing nanomaterial-modified screen-printed electrodes and anodic stripping voltammetry, demonstrate excellent sensitivity and portability, though challenges remain in achieving selectivity and mitigating matrix interference. Optical nanosensors, including colorimetric, fluorescent, and surface-enhanced Raman scattering (SERS)-based systems, offer diverse mechanisms of detection and ultralow detection limits but are often limited by soil turbidity, biofouling, and substrate instability. Particular attention is given to the integration of advanced materials such as metal-organic frameworks, carbon-based nanomaterials, and "green" quantum dots, which aim to improve sensor performance and environmental safety. The review also explores the convergence of nanosensor deployment with data science, emphasizing the role of machine learning in signal deconvolution, calibration, and real-time decision support. Finally, the article highlights future directions, including the development of anti-fouling coatings, sustainable fabrication methods, multiplexed detection arrays, and sensor networks integrated via the Internet of Things. Together, these advances suggest a pathway toward robust, intelligent, and scalable soil monitoring systems critical for precision agriculture and environmental stewardship.

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来源期刊
Analytical Methods
Analytical Methods CHEMISTRY, ANALYTICAL-FOOD SCIENCE & TECHNOLOGY
CiteScore
5.10
自引率
3.20%
发文量
569
审稿时长
1.8 months
期刊介绍: Early applied demonstrations of new analytical methods with clear societal impact
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