On-site low-power sensing nodes for distributed monitoring of heavy metal ions in water

IF 3.5 3区 工程技术 Q2 MATERIALS SCIENCE, MULTIDISCIPLINARY
Menglun Zhang, Xi Zhang, Pengfei Niu, Tao Shen, Yi Yuan, Yuantao Bai, Zhilin Wang
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引用次数: 5

Abstract

Heavy metal pollution in water environments poses a great threat to public health and to the ecological environment due to its high toxicity and non-degradability. However, many existing detection methods require laboratory-based bulky instruments and time-consuming manual operations. Although some on-site systems exist, they are difficult to deploy on a large scale owing to their large size and high cost. Here, we report a sensing node featuring low power consumption and low cost, achieved by integrating microsensor, microfluidic, and electronic modules into a compact size for automatic and scalable heavy metal pollution monitoring. Digital microfluidic and electrochemical sensing modules are integrated on a chip, thereby combining the procedures of sample pretreatment, electrochemical sensing, and waste removal for automatic and continuous monitoring. The feasibility of the platform is demonstrated by Pb2+ detection in tap water. With a 3500 mA·h battery, the compact sensing node could work for several years in principle. There is scope for further improvements to the system in terms of wider functionality and reductions in size, power consumption, and cost. The sensing node presented here is a strong candidate for distributed monitoring of water quality as an Internet-of-Things application.
用于分布式监测水中重金属离子的现场低功率传感节点
水环境重金属污染因其高毒性和不可降解性,对公众健康和生态环境造成极大威胁。然而,许多现有的检测方法需要基于实验室的笨重仪器和耗时的人工操作。虽然存在一些现场系统,但由于其体积大,成本高,难以大规模部署。在这里,我们报告了一个低功耗和低成本的传感节点,通过将微传感器,微流体和电子模块集成到一个紧凑的尺寸中,用于自动和可扩展的重金属污染监测。将数字微流控和电化学传感模块集成在一个芯片上,将样品预处理、电化学传感和废物清除过程结合起来,实现自动连续监测。通过自来水中Pb2+的检测,验证了该平台的可行性。使用3500 mA·h的电池,紧凑的传感节点原则上可以工作数年。在更广泛的功能和尺寸、功耗和成本方面,系统还有进一步改进的余地。这里提出的传感节点是作为物联网应用的分布式水质监测的有力候选。
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来源期刊
Nami Jishu yu Jingmi Gongcheng/Nanotechnology and Precision Engineering
Nami Jishu yu Jingmi Gongcheng/Nanotechnology and Precision Engineering Engineering-Industrial and Manufacturing Engineering
CiteScore
6.50
自引率
0.00%
发文量
1379
审稿时长
14 weeks
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