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Development of a Smartphone-Linked Immunosensing System for Oxytocin Determination
Miku Sarubo1, Yoka Suzuki2, Yuka Numazaki2
1Electrical Engineering Program, Graduate School of Science and Technology, Meiji University, Kawasaki City 214-8571, Kanagawa, Japan.
Abstract:
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.
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