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Published on: November 9, 2018
Paper-based colorimetric sensor using Photoshop and a smartphone app for the quantitative detection of carbofuran
Kuo-Hui Wu1, Wen-Chien Huang1, Je-Chuang Wang1
1Department of Chemistry and Materials Engineering, Chung Cheng Institute of Technology, National Defense University, Tahsi, Taoyuan, 33551, Taiwan. ccitkhwu@gmail.com.
Abstract:
We developed a smartphone-assisted microchemistry analyzer for the quantitative detection of carbofuran using a paper-based colorimetric sensor, Photoshop software, and a smartphone app. The changes in color of the carbofuran enzymatic reaction in the paper-based sensor were captured and analyzed using a smartphone-controlled analyzer with an LED light source and a smartphone camera. The high accuracy of this method was demonstrated for the determination of carbofuran with a linear response in the range 0.05-1.0 ppm and limits of detection (LOD) of 0.02 and 0.018 ppm using Photoshop and smartphone app colorimetric analysis, respectively. These two methods not only show the high sensitivity and highly quantitative relationships between the concentrations of commercial carbofuran and characteristic color values of the blue channel in smartphone images but were also applied to infusions of tea. Moreover, the smartphone app is able to GPS tag the location of the test and transmit the results to a website that displays quantitative results from carbofuran samples on a map.
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