Development of Light Dependent Resistor (LDR) sensor in soft drink for different concentrations using LED detection

Zainal, Muhammad Kamil (2025) Development of Light Dependent Resistor (LDR) sensor in soft drink for different concentrations using LED detection. Project Report. Universiti Teknikal Malaysia Melaka, Melaka, Malaysia. (Submitted)

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Abstract

In Malaysia, the prevalence of overweight and obesity represents significant health challenges, correlating with various health implications including type 2 diabetes mellitus, cardiovascular diseases, and numerous other adverse health outcomes. Among the foods we eat, soft drinks are often pointed out as a top contributor to weight gain and having a higher body mass index (BMI). Soft drinks typically comprise soda water, flavored syrups, or both carbonated and noncarbonated beverages with significant quantities of added sugars. The widespread overconsumption of soft drinks presents a significant global public health concern. It has been proposed that frequent intake of sugar-sweetened beverages could potentially lead to weight gain and obesity by elevating overall energy consumption. Hence, the objective of this project is to develop a sensor system tailored for measuring concentration in soft drinks using LED detection. The project aims to design a sensor utilizing Light Dependent Resistor (LDR) technology, analyze its performance by assessing LED power transfer, and optimize its sensitivity, linearity, and stability. The system's functionalities will be controlled by an Arduino UNO processor, facilitating the measurement of concentration. The Arduino UNO will manage the operation of the LED, controlling its activation and deactivation. Furthermore, it will transmit data regarding the intensity of light reflected from the soft drink samples to an LCD display for observation. The LDR sensor will play a critical role in determining the brightness of the light as it passes through the soft drink, thereby enabling accurate measurement of concentration. Hence, the project will generate sensitivity values and graphical representations demonstrating linearity, repeatability, and stability. The hypothesis suggests that as the concentration of the soft drink increases, the intensity of light transmission decreases. This innovative approach will yield valuable insights into concentration levels within beverages, offering a cost-effective and user-friendly solution for quality assessment.

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