Sarubo Miku, Suzuki Yoka, Numazaki Yuka, Kudo Hiroyuki
Electrical Engineering Program, Graduate School of Science and Technology, Meiji University, Kawasaki City 214-8571, Kanagawa, Japan.
Department of Electronics and Bioinformatics, School of Science and Technology, Meiji University, Kawasaki City 214-8571, Kanagawa, Japan.
Biosensors (Basel). 2025 Apr 18;15(4):261. doi: 10.3390/bios15040261.
We report an optical immunosensing system for oxytocin (OXT) based on image analysis of color reactions in an enzyme-linked immunosorbent assay (ELISA). We employed a miniaturized optical immunosensing unit that was functionally connected to an LED and a smartphone camera. Our system measures OXT levels using a metric called the RGBscore, which is derived from the red, green, and blue (RGB) information in the captured images. By calculating the RGBscore regressively using the brute-force method, this approach can be applied to smartphones with various CMOS image sensors and firmware. The lower detection limit was determined to be 5.26 pg/mL, and the measurement results showed a higher correlation (r = 0.972) with those obtained from conventional ELISA. These results suggest the potential for its application in a simplified health management system for individuals.
我们报告了一种基于酶联免疫吸附测定（ELISA）中颜色反应图像分析的催产素（OXT）光学免疫传感系统。我们采用了一个小型化的光学免疫传感单元，该单元与发光二极管（LED）和智能手机摄像头功能相连。我们的系统使用一种名为RGB分数的指标来测量OXT水平，该指标源自所捕获图像中的红色、绿色和蓝色（RGB）信息。通过使用暴力法递归计算RGB分数，这种方法可应用于配备各种互补金属氧化物半导体（CMOS）图像传感器和固件的智能手机。测定下限为5.26 pg/mL，测量结果与传统ELISA获得的结果显示出更高的相关性（r = 0.972）。这些结果表明了其在个人简化健康管理系统中的应用潜力。
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