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Development and Evaluation of an Arduino-Powered (Non-Intrusive) System for Analyzing Glucose Ions in Human Sweat Utilizing an RGB TCS3200 Sensor. The presented research introduces an innovative method for the precise quantitative analysis of ions in human sweat employing a TCS3200 colour sensor. Sweat composition serves as a valuable window into an individual's physiological state, making it an appealing target for non-invasive monitoring. The RGB TCS3200 colour sensor, originally designed for colour detection, has been adapted for ion analysis through a rigorous calibration process. This study presents a comprehensive methodology encompassing sample collection, sensor calibration, data acquisition, and thorough analysis. The fundamental principle of our method is predicated on establishing correlations between alterations in the colour spectrum of sweat samples and the concentration of specific ions. Our investigation systematically explores the sensor's response to varying ion concentrations, and the outcomes are rigorously validated against established laboratory techniques.
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Vanaja et al. (2024) studied this question.
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