Department of Medical Biochemistry, Faculty of Medicine, Near East University, Nicosia, 99138, Nicosia, TRNC Mersin 10, Turkey.
Department of Analytical Chemistry, Faculty of Pharmacy, Near East University, Nicosia, 99138, Nicosia, TRNC Mersin 10, Turkey.
Anal Methods. 2023 Oct 5;15(38):5018-5026. doi: 10.1039/d3ay01424j.
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 px, 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. 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 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.
提出了一种基于双缩脲法的血清蛋白比色测定方法，用简单且经济实惠的智能手机数字图像比色法（SDIC）代替紫外-可见光谱（UV-Vis）检测。发现最佳 SDIC 条件为检测波长 555nm、感兴趣区域 1600px 和检测相机与样品溶液之间的距离 9.0cm。在最佳条件下，线性动态范围为 0.022 至 0.35g/dL 时，决定系数为 0.9982。该方法的精密度基于相对标准偏差，低于 5%。检测限和定量限分别为 0.007 和 0.022g/dL，足以定量血清中的总蛋白、白蛋白和球蛋白。使用独立的 UV-Vis 方法进行验证，两种方法均显示出良好的统计学一致性，表明所提出的 SDIC 方法具有准确性。
