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

被引:0
|
作者
Menglun Zhang [1 ]
Xi Zhang [1 ]
Pengfei Niu [1 ]
Tao Shen [2 ]
Yi Yuan [1 ]
Yuantao Bai [2 ]
Zhilin Wang [2 ]
机构
[1] State Key Laboratory of Precision Measuring Technology and Instruments, Tianjin University
[2] School of Precision Instrument and Opto-Electronics Engineering, Tianjin University
基金
中国国家自然科学基金;
关键词
D O I
暂无
中图分类号
X832 [水质监测];
学科分类号
0804 ; 082803 ;
摘要
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 difficul 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 microfluidi 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 Pbdetection in tap water. With a 3500 m A·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.
引用
收藏
页码:40 / 47
页数:8
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