Lin Kai-Wen, Chang Yu-Chi
Department of Engineering Science, National Cheng Kung University, Tainan 701, Taiwan.
Diagnostics (Basel). 2021 Jun 29;11(7):1179. doi: 10.3390/diagnostics11071179.
In this research, the Taguchi method was used to optimize the detection accuracy and reproducibility of an immunodetection system used for a quantitative analysis of a rapid test. Furthermore, the standard deviation (SD) and coefficient of variation (CV) between the theoretical value and the measured value of the self-made simulated rapid test became smaller, and the linearity became higher. The results thus indicated that the immunodetection system became more reliable. In the present research, a camera was used to capture an image containing the control line (C line) and the test line (T line) in the self-made simulated rapid test. The captured image was then analyzed, and the grayscales of the C line and T line were calculated. The Taguchi method was used to adjust the light intensity of the light-emitting diode (LED) and the camera parameters in the immunodetection system to determine the optimal parameters by which to optimize the performance of the immunodetection system. The goal of the present research was to obtain a measurement with a minimum SD and CV between the detected grayscales and the grayscales of the self-made simulated rapid test, thus indicating successful development of a practical, stable, and accurate immunodetection system. To mimic the color expression in an actual rapid test, the ratio of the red, green, blue (RGB) components of the self-made simulated rapid test had to be adjusted to closely fit the color expression of the actual rapid test. After the RGB ratio was set, the Taguchi method was used to optimize the parameters for the purpose of detection. When the optimal parameters were found, the signal-to-noise ratio (/ ratio) had been increased from -12.89 dB to -10.91 dB, which means the accuracy of the color detection had been improved. Compared to the original detection system, the quality loss had been reduced to 33.1%.
在本研究中，采用田口方法优化用于快速检测定量分析的免疫检测系统的检测准确性和重现性。此外，自制模拟快速检测的理论值与测量值之间的标准偏差（SD）和变异系数（CV）变小，线性度变高。结果表明免疫检测系统变得更可靠。在本研究中，使用相机拍摄自制模拟快速检测中包含控制线（C线）和测试线（T线）的图像。然后对捕获的图像进行分析，并计算C线和T线的灰度值。采用田口方法调整免疫检测系统中发光二极管（LED）的光强度和相机参数，以确定优化免疫检测系统性能的最佳参数。本研究的目标是在检测的灰度值与自制模拟快速检测的灰度值之间获得最小的SD和CV测量值，从而表明成功开发了一种实用、稳定且准确的免疫检测系统。为了模拟实际快速检测中的颜色表达，必须调整自制模拟快速检测的红、绿、蓝（RGB）分量的比例，使其紧密符合实际快速检测的颜色表达。设置RGB比例后，采用田口方法优化检测参数。找到最佳参数时，信噪比（/比）从-12.89 dB提高到-10.91 dB，这意味着颜色检测的准确性得到了提高。与原始检测系统相比，质量损失降低到了33.1%。
