Paper-based colorimetric sensor using Photoshop and a smartphone app for the quantitative detection of carbofuran

Wu, Kuo-Hui; Huang, Wen-Chien; Wang, Je-Chuang; Wang, Shih-Hsien

doi:10.1039/d3ay02211k

Anal. Methods

2024

DOI: 10.1039/d3ay02211k

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Paper-based colorimetric sensor using Photoshop and a smartphone app for the quantitative detection of carbofuran

Kuo-Hui Wu,

Wen-Chien Huang,

Je-Chuang Wang

et al.

Abstract: A smartphone-assisted microchemistry analyzer with paper-based colorimetric sensor using Photoshop software and a smartphone app detection method was successfully developed for the quantitative detection of carbofuran. The color changes of...

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Cited by 4 publications

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ImageJ and smartphone app chemistry analyzer using image-based colorimetric assay for quantitative detection of melamine

Chang,

Wu,

Wang

et al. 2024

Pure and Applied Chemistry

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A smartphone-assisted microchemistry analyzer with an image-based colorimetric assay using ImageJ and a smartphone app detection method was successfully developed for the quantitative detection of melamine (MEL). The color changes of the MEL in the colloidal gold lateral flow immunoassay strip were captured and analyzed using a smartphone-controlled analyzer with an LED light source and a smartphone camera. The smartphone camera and light source were used to read the colorimetric signal from the strip, and a smartphone app was written and installed onto the smartphone. The quantitative analysis was validated with ImageJ and smartphone app colorimetric analysis. The limits of detection (LODs) for ImageJ and the smartphone app were calculated as 0.30 and 0.07 mg/L, respectively. The highly quantitative relationships between the MEL concentrations and the optical density and gray value of the ImageJ and smartphone app detection method. The designed image-based biosensor is successfully applied to detect MEL in solution of standard MEL and commercial milk samples.

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Paper-based colorimetric sensor using Photoshop and a smartphone app for the quantitative detection of carbofuran

Abstract: A smartphone-assisted microchemistry analyzer with paper-based colorimetric sensor using Photoshop software and a smartphone app detection method was successfully developed for the quantitative detection of carbofuran. The color changes of...

Cited by 4 publications

References 38 publications

Novel integration of lateral flow strip and point-of-care isothermal amplification techniques for meat adulteration detection: A comprehensive review

Novel integration of lateral flow strip and point-of-care isothermal amplification techniques for meat adulteration detection: A comprehensive review

Capillary-flow driven microfluidic sensor based on tyrosinase for fast user-friendly assessment of pesticide exposures

ImageJ and smartphone app chemistry analyzer using image-based colorimetric assay for quantitative detection of melamine

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