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Colourimetric Determination of High-Density Lipoprotein (HDL) Cholesterol Using Red-Green-Blue Digital Colour Imaging

机译:使用红绿蓝色数字彩色成像的高密度脂蛋白(HDL)胆固醇的Colouremetric测定

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摘要

A rapid, low-cost, and sensitive method was developed for the quantification of high-density lipoprotein cholesterol based on enzymatic colorimetric reactions and digital image analysis. The proposed method was adapted to a 96-microwell enzyme-linked immunosorbent assay plate and imaging acquisition was performed using a conventional desktop scanner. The images were recorded using the red-green-blue color system in which the resolved absorbance for each color channel was used for multiple linear regression. The regression model presented a root mean squared error of calibration and a correlation coefficient (R-2) value of 1.53 mg dL(-1) and 0.995, respectively. Prediction was obtained with a root mean square error of prediction of 2.42 mg dL(-1) and R-2 of 0.993, thereby showing accurate prediction response. A limit of detection of 0.43 mg dL(-1) and precision better than 1.72% reinforced these results. This method was compared with a reference methodology using ultraviolet-visible spectroscopic measurements at 500 nm and no statistical differences were observed at the 95% confidence level, showing the potential for future clinical applications.
机译:基于酶学性比例和数字图像分析,开发了一种快速,低成本和敏感的方法,用于定量高密度脂蛋白胆固醇和数字图像分析。该方法适用于96微孔酶联免疫吸附测定板,使用传统的台式扫描仪进行成像采集。使用红色的绿色蓝色系统记录图像,其中每个颜色通道的分辨吸光度用于多元线性回归。回归模型分别呈现了校准的根均平方误差和1.53mg DL(-1)和0.995的相关系数(R-2)值。用均线平均误差为2.42mg D1(-1)和0.993的R-2的根均方误差获得预测,从而显示精确的预测响应。检测极限为0.43mg DL(-1),精度优于1.72%,加强了这些结果。将该方法与参考方法进行比较,使用500nm处的紫外线可见光光谱测量,并且在95%的置信水平下没有观察到统计差异,显示未来临床应用的潜力。

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