Tools for water quality monitoring and mapping using paper-based sensors and cell phones

被引:154
|
作者
Sicard, Clemence [1 ,2 ]
Glen, Chad [3 ]
Aubie, Brandon [4 ]
Wallace, Dan [4 ]
Jahanshahi-Anbuhi, Sana [3 ]
Pennings, Kevin [3 ]
Daigger, Glen T. [5 ]
Pelton, Robert [3 ,4 ]
Brennan, John D. [1 ,2 ,4 ]
Filipe, Carlos D. M. [3 ,4 ]
机构
[1] McMaster Univ, Biointerfaces Inst, Hamilton, ON L8S 4L89, Canada
[2] McMaster Univ, Dept Chem & Chem Biol, Hamilton, ON L8S 4L89, Canada
[3] McMaster Univ, Dept Chem Engn, Hamilton, ON L8S 4L7, Canada
[4] McMaster Univ, Biointerfaces Inst, Hamilton, ON L8S OA3, Canada
[5] CH2M Hill Inc, Englewood, CO 80112 USA
基金
加拿大自然科学与工程研究理事会; 加拿大创新基金会;
关键词
Paper-based sensors; Water; Pesticide; Cell phones; Webpage; Low cost; TEST STRIP; PLATFORM; DEVICES;
D O I
10.1016/j.watres.2014.12.005
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
In this paper we describe a combination of paper-based sensors and a novel smart-phone application for on-site quantification of colorimetric readouts as an ultra-low cost solution to monitoring water quality. The system utilizes a paper-based analytical device (mu PAD) that produces a colorimetric signal that is dependent on the concentration of a specific target; a cell phone equipped with a camera for capturing images of two mu PADs one tested with a water sample and the other tested with clean water that is used as a control; and an on-site image processing app that uses a novel algorithm for quantifying color intensity and relating this to contaminant concentration. The cell phone app utilizes a pixel counting algorithm that performs with less bias and user subjectivity than the typically used lab-based software, ImageJ. The use of a test and control strip reduces bias from variations in ambient lighting, making it possible to acquire and process images on-site. The cell phone is also able to GPS tag the location of the test, and transmit results to a newly developed website, WaterMap.ca (TM), that displays the quantitative results from the water samples on a map. We demonstrate our approach using a previously developed mu PAD that detects the presence of organophosphate pesticides based on the inhibition of immobilized acetylcholinesterase by these contaminants. The objective of this paper is to highlight the importance and potential of developing and integrated monitoring system consisting of mu PADs, cell-phones and a centralized web portal for low-cost monitoring environmental contaminants at a large-scale. (C) 2014 Elsevier Ltd. All rights reserved.
引用
收藏
页码:360 / 369
页数:10
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