MOE Key Laboratory of Deep Earth Science and Engineering, College of Architecture and Environment, Sichuan University, Chengdu, 610065, China.
School of Environment, Tsinghua University, Beijing, 100084, China.
Water Res. 2024 Nov 1;265:122297. doi: 10.1016/j.watres.2024.122297. Epub 2024 Aug 22.
Emerging contaminants in water represent long-term and unpredictable threats to both environmental and human health due to their persistence and bioaccumulation. Current research predominantly focuses on their removal rather than sustained monitoring. This review comprehensively investigates advanced sensor technologies for detecting these contaminants in water, critically evaluating biosensors, optical sensors, electrochemical sensors, and nanomaterial sensors. Elucidating the operational principles, performance metrics such as detection thresholds, and the pros and cons of their practical applications, the review addresses a significant research gap in environmental monitoring. Moreover, it enhances understanding of sensor effectiveness, which in turn guides researchers in selecting the right sensor types for various environmental scenarios. Furthermore, by emphasizing the integration of nanotechnology and the standardization of evaluation protocols, it promotes the development of robust, deployable sensing solutions. Ultimately, this leads to the proposal of a strategic framework aimed at significantly improving the detection capabilities of emerging contaminants and supporting the preservation of environmental health.
水中新兴污染物因其持久性和生物累积性,对环境和人类健康构成长期且不可预测的威胁。目前的研究主要侧重于去除这些污染物,而不是持续监测。本综述全面研究了用于检测水中这些污染物的先进传感器技术,对生物传感器、光学传感器、电化学传感器和纳米材料传感器进行了批判性评估。本综述阐明了各种传感器的工作原理、检测阈值等性能指标以及其实践应用的优缺点,解决了环境监测中的一个重大研究空白。此外,它增强了对传感器有效性的理解,从而指导研究人员为各种环境场景选择合适的传感器类型。此外,通过强调纳米技术的集成和评估协议的标准化,它促进了稳健、可部署传感解决方案的发展。最终,提出了一个战略框架,旨在显著提高新兴污染物的检测能力,支持维护环境健康。