Bioinspired HSV-RGB multimodal integration for wavelength-selection-free colorimetric sensing: a white-LED and RGB...

Area of Science:

• Analytical Chemistry
• Food Science
• Biomedical Engineering

Background:

• Colorimetric analysis is crucial for food safety but hindered by bulky equipment and manual calibration.
• Field deployment of traditional methods is limited, especially in resource-constrained environments.
• Need for portable, automated solutions for on-site food safety monitoring.

Purpose of the Study:

• To develop a portable, low-cost colorimetric device for autonomous food safety analysis.
• To implement a bioinspired HSV-RGB fusion algorithm for analyte identification and quantification.
• To validate the device's performance against established spectrophotometric methods.

Main Methods:

• Development of a portable colorimetric device integrating a novel HSV-RGB fusion algorithm.
• Utilization of Hue (H) as a spectral fingerprint and RGB values for Lambert-Beer law adherence.
• Validation across six wavelengths (412-715 nm) and testing with pesticide, glucose, and phosphate standards.

Main Results:

• Achieved high linearity (R² > 0.99) and low limits of detection (LODs) for key analytes.
• Demonstrated sensitivity comparable to traditional spectrophotometry.
• Accurate quantification in real food samples, with results within 92.32%-107.03% of reference methods.

Conclusions:

• The developed device offers a portable, cost-effective, and autonomous solution for field-based food safety testing.
• Its accuracy and sensitivity rival laboratory-based methods, making it suitable for resource-limited settings.
• Enables rapid sample-to-result detection, enhancing on-site food safety monitoring capabilities.