Development of a Smartphone-Linked Immunosensing System for Oxytocin Determination.

Area of Science:

• Biomedical Engineering
• Analytical Chemistry
• Biosensing Technology

Background:

• Oxytocin (OXT) plays crucial roles in physiological processes.
• Accurate and accessible OXT measurement is important for health monitoring.
• Conventional Enzyme-Linked Immunosorbent Assay (ELISA) methods can be complex and time-consuming.

Purpose of the Study:

• To develop a miniaturized optical immunosensing system for OXT detection.
• To utilize smartphone imaging for quantitative OXT analysis.
• To establish a simplified and potentially portable OXT monitoring solution.

Main Methods:

• An optical immunosensing unit integrated with an LED and smartphone camera was developed.
• Oxytocin levels were quantified using a derived metric, the RGBscore, from image color analysis.
• A brute-force regression method was employed for RGBscore calculation, ensuring broad smartphone compatibility.

Main Results:

• The developed system demonstrated a low detection limit of 5.26 pg/mL for OXT.
• Measurement results showed a high correlation (r = 0.972) with conventional ELISA.
• The RGBscore method proved adaptable to various smartphone sensors and firmware.

Conclusions:

• The smartphone-based optical immunosensing system offers a promising approach for OXT quantification.
• The system's high accuracy and correlation with ELISA suggest its utility in simplified health management.
• This technology has the potential for widespread application in personal health monitoring.