饮用水砷检测传感技术综述

IF 3 4区 环境科学与生态学 Q2 ENVIRONMENTAL SCIENCES
S. Pandey, S. Mishra
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引用次数: 0

摘要

水是对全球经济繁荣和生态系统福祉至关重要的重要资源。由于砷的高毒性、稳定性以及在食物链中的累积能力,即使是低浓度砷的存在也会对人类健康造成持续威胁。为解决这一问题,检测方法正在努力实现低于世界卫生组织标准的十亿分之十(133.3 nM)的检测限,特别是侧重于有毒形式 As3+。目前已开发出多种技术来检测和量化饮用水中的砷,包括光谱法和电化学法。光谱法灵敏度高、选择性强,但操作复杂、成本高;而电化学法虽然操作简单、成本效益高,但可能会牺牲一些灵敏度和选择性。近年来,主要基于电化学或光学原理的便携式、可现场部署的砷传感设备不断涌现,有望改变砷污染的监测方式。本综述探讨了饮用水中砷检测技术的最新进展,重点介绍了在开发高灵敏度和高选择性方法方面取得的重大进展。它涵盖了一系列传感器技术,如电化学传感器、光学传感器和基于纳米材料的传感器,所有这些技术都能提高检测限和精度。报告还讨论了机器学习和微型化设备等新兴技术在水源砷实时监测中的应用。报告对这些技术的实用性和成本效益进行了评估,强调了对坚固耐用、可实地部署的传感器的需求,以确保发达地区和发展中地区都能获得安全的饮用水。本综述旨在为缓解砷污染危机和保护公众健康的持续努力做出贡献。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

A review of sensing technologies for arsenic detection in drinking water

A review of sensing technologies for arsenic detection in drinking water

Water is essential resource vital for economic prosperity, well-being of ecosystems worldwide. Presence of arsenic, even in low concentrations, poses persistent threat due to its high toxicity, stability, its capacity to accumulate within food chains, affecting human health. To combat this issue, detection methods are striving to achieve lower limit of detection than World Health Organization standard of 10 parts per billion (133.3 nM), particularly focusing on toxic form, As3+. Various techniques have been developed to detect, quantify arsenic in drinking water, including spectroscopic and electrochemical methods. Spectroscopic methods offer high sensitivity and selectivity but can be complex, costly to operate, while electrochemical methods, although simpler, cost-effective, may sacrifice some sensitivity, selectivity. Recent years have witnessed emergence of portable, field-deployable arsenic sensing devices, primarily based on electrochemical or optical principles, with potential to transform arsenic contamination monitoring. This review explores recent advancements in arsenic detection techniques in drinking water, highlighting substantial progress in development of highly sensitive and selective methods. It covers range of sensor technologies, such as electrochemical sensors, optical sensors, and nanomaterial-based sensors, all of which offer improved detection limits, accuracy. It discusses integration of emerging technologies like machine learning and miniaturized devices for real-time arsenic monitoring in water sources. Practicality and cost-effectiveness of these techniques are evaluated, emphasizing need for robust, field-deployable sensors to ensure access to safe drinking water in both developed and developing regions. This review aims to contribute to ongoing efforts to mitigate the arsenic contamination crisis and protect public health.

Graphical abstract

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来源期刊
CiteScore
5.60
自引率
6.50%
发文量
806
审稿时长
10.8 months
期刊介绍: International Journal of Environmental Science and Technology (IJEST) is an international scholarly refereed research journal which aims to promote the theory and practice of environmental science and technology, innovation, engineering and management. A broad outline of the journal''s scope includes: peer reviewed original research articles, case and technical reports, reviews and analyses papers, short communications and notes to the editor, in interdisciplinary information on the practice and status of research in environmental science and technology, both natural and man made. The main aspects of research areas include, but are not exclusive to; environmental chemistry and biology, environments pollution control and abatement technology, transport and fate of pollutants in the environment, concentrations and dispersion of wastes in air, water, and soil, point and non-point sources pollution, heavy metals and organic compounds in the environment, atmospheric pollutants and trace gases, solid and hazardous waste management; soil biodegradation and bioremediation of contaminated sites; environmental impact assessment, industrial ecology, ecological and human risk assessment; improved energy management and auditing efficiency and environmental standards and criteria.
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