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Bioinspired HSV-RGB multimodal integration for wavelength-selection-free colorimetric sensing: a white-LED and RGB
Tingting Yan1, Shuping Gao1, Jiaxin Yang1
1College of Food Science and Engineering, Northwest A&F University, 22 Xinong Road, Yangling 712100, Shaanxi, China.
Abstract:
Colorimetric analysis is widely used in food safety but limited in field deployment by bulky instruments and manual wavelength calibration. Herein, we present a portable, low-cost colorimetric device enabled by a bioinspired HSV-RGB fusion algorithm that autonomously identifies analytes and quantifies concentrations without user-defined parameters. Hue (H) served as a spectral fingerprint, and RGB values followed the Lambert-Beer law, which was validated across six wavelengths (412, 426, 486, 500, 630, and 715 nm). The device showed high linearity (R2 > 0.99) with LODs of 6.25 ppb (pesticide), 0.027 mg mL-1 (glucose), and 0.03 μg mL-1 (phosphate), calculated via 3σ/slope, achieving sensitivity comparable to spectrophotometry. In real food samples, measured concentrations agreed with those from the reference spectrophotometric method within 92.32% to 107.03%, confirming its accuracy. Weighing ∼200 g and costing ∼$10, it enables sample-to-result detection and offers a field-deployable solution for on-site food safety monitoring, particularly in resource-limited settings.

