Abstract
The Marcopper Mining Disaster caused excessive amounts of copper to be spilled in water sources in Marinduque. Determining this soluble metal in water has been a challenge to Marinduqueños as there is no water testing laboratory available. This research aims to develop a system that determines soluble Copper (Cu) in water through color reaction analysis of tannins. Specifically, it aims to develop a system that determines copper in water and evaluate the developed system through comparative analysis from laboratory results. An image processing box was prepared to record the color reaction of tannins to water solutions containing 0.5 to 5 ppm soluble copper. The recorded reactions were analyzed for their RGB channels. The RGB color values were then related to the copper concentrations. To assess the reliability of the system, water samples with unknown metal contents were tested using the system. Based on these procedures, it was found that copper produces green and blue colors, especially for the water solutions with 2.0 to 3.5 ppm of copper. It was concluded that the system can determine the soluble copper in water samples (from 0.5 ppm to 5 ppm), but calibration must be done using genetic algorithm optimization features and other ways such as machine vision. Relevant to analytic chemistry, it is recommended that titrimetric conditioning and use of the Sigmoid function be performed to improve color resolution.
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Historillo, J.F., Rosales, M., Merlin, M., Mandia, E.B. (2023). Color and Image Analysis Approach in Determination of Soluble Copper in Water Using Tannic Reaction Analysis. In: Vasant, P., Weber, GW., Marmolejo-Saucedo, J.A., Munapo, E., Thomas, J.J. (eds) Intelligent Computing & Optimization. ICO 2022. Lecture Notes in Networks and Systems, vol 569. Springer, Cham. https://doi.org/10.1007/978-3-031-19958-5_90
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