Colorimetric biosensor based on smartphone: State-of-art

Smartphone-based colorimetric sensors can be operated out of the laboratory, meeting urgent needs such as point-of-care testing and on-site diagnostics. The quality of the captured colorimetric image is directly related to the detection sensitivity, and the experimenter can optimize the image by cus...

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Bibliographic Details
Published inSensors and actuators. A. Physical. Vol. 349; p. 114056
Main Authors Geng, Zhaoxin, Miao, Yanrui, Zhang, Guling, Liang, Xiao
Format Journal Article
LanguageEnglish
Published Elsevier B.V 01.01.2023
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ISSN0924-4247
1873-3069
DOI10.1016/j.sna.2022.114056

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Summary:Smartphone-based colorimetric sensors can be operated out of the laboratory, meeting urgent needs such as point-of-care testing and on-site diagnostics. The quality of the captured colorimetric image is directly related to the detection sensitivity, and the experimenter can optimize the image by customizing accessories and setting parameters. This paper introduces common colorimetric transduction mechanisms and reviews the advantages and disadvantages of various color spaces. The reports of paper-based (25 reports cited), plastic microfluidic chip-based (7 reports cited), microtiter plate-based (6 reports cited), and cuvette-based (7 reports cited) platforms combined with smartphones from 2017 to 2022 are reviewed, with the performance in signal enhancement and structural design being analyzed and discussed. Finally, the optimization algorithms of data processing and feature extraction are introduced, and the existing difficulties are discussed. This review aims to provide comprehensive solutions to the problems that appear in the colorimetric sensing assisted by smartphones. [Display omitted] •Transduction mechanisms are discussed from the angle of whether new substance is produced.•RGB and other color spaces transformed from RGB are introduced.•Reports (2017–2022) of smartphone-based colorimetric platforms are reviewed.•The discussions focus the signal enhancement and structural design.•Algorithms for color data processing are reviewed.
ISSN:0924-4247
1873-3069
DOI:10.1016/j.sna.2022.114056