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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| Published in | Sensors and actuators. A. Physical. Vol. 349; p. 114056 |
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| Main Authors | , , , |
| Format | Journal Article |
| Language | English |
| Published |
Elsevier B.V
01.01.2023
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| Subjects | |
| Online Access | Get full text |
| ISSN | 0924-4247 1873-3069 |
| DOI | 10.1016/j.sna.2022.114056 |
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| Abstract | 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.
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•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. |
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| AbstractList | 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. |
| ArticleNumber | 114056 |
| Author | Zhang, Guling Geng, Zhaoxin Liang, Xiao Miao, Yanrui |
| Author_xml | – sequence: 1 givenname: Zhaoxin surname: Geng fullname: Geng, Zhaoxin email: zxgeng@muc.edu.cn organization: School of Information Engineering, Minzu University of China, Beijing 100081, PR China – sequence: 2 givenname: Yanrui surname: Miao fullname: Miao, Yanrui organization: College of Science, Minzu University of China, Beijing 100081, PR China – sequence: 3 givenname: Guling surname: Zhang fullname: Zhang, Guling organization: College of Science, Minzu University of China, Beijing 100081, PR China – sequence: 4 givenname: Xiao surname: Liang fullname: Liang, Xiao organization: School of Information Engineering, Minzu University of China, Beijing 100081, PR China |
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