Issue 38, 2023

Smartphone digital image colorimetry for quantification of serum proteins

Abstract

Colorimetric determination of proteins in serum is proposed based on the biuret method and replacing ultraviolet-visible spectrometric (UV-Vis) detection with a simple and affordable smartphone digital image colorimetric (SDIC) method. Optimum SDIC conditions were found as a detection wavelength of 555 nm, a region of interest of 1600 px2, and 9.0 cm between the detection camera and sample solution. Under the optimum conditions, the coefficient of determination was 0.9982 within a linear dynamic range of 0.022 to 0.35 g dL−1. The precision of the method based on the percent relative standard deviation was below 5%. The limit of detection and limit of quantitation were found to be 0.007 and 0.022 g dL−1 respectively, which were sufficient for the quantification of the total protein, albumin, and globulin in serum. The method was validated with an independent experiment using a UV-Vis method and both methods showed good statistical agreement, indicating the accuracy of the proposed SDIC method.

Graphical abstract: Smartphone digital image colorimetry for quantification of serum proteins

Article information

Article type
Paper
Submitted
14 Aug 2023
Accepted
04 Sep 2023
First published
21 Sep 2023

Anal. Methods, 2023,15, 5018-5026

Smartphone digital image colorimetry for quantification of serum proteins

V. Markus, O. Dalmizrak, O. H. Edebal, M. Al-Nidawi and J. Caleb, Anal. Methods, 2023, 15, 5018 DOI: 10.1039/D3AY01424J

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