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Microplastic waste polluted water measurement development based on parameter of physics
Summary
This study developed a sensor-based measurement system to detect microplastic pollution in water using physical parameters including pH, salinity, conductivity, and magnetic properties. The Arduino-based system was characterized against standard tools to assess sensitivity and detection capability.
Abstract Currently, microplastics are detected in almost all water areas of the world. Hundreds of tons of microplastic waste produced and disposed of in the waters impact tissue damage and reduce water quality. A measurement system for detecting water polluted by microplastic waste based on the parameter of physics has been developed. This developed system is composed of a water pH sensor, salinity sensor, conductivity sensor, magnetic sensor, and Arduino Uno as the control system. The sensor characterization was carried out using standard tools to determine the sensitivity of each sensor. This process found that the sensitivity of the water pH sensor, water conductivity sensor, magnetic field sensor, and salinity sensor was -0.1702 V/pH, 0.9 mV/ppm, 0.0018 V/Gauss, and 0.1905 V/PPT, respectively. The prototype measured these parameters in synthetic wastewater and natural water samples contaminated by microplastic waste. Synthetic wastewater is a mixture of water, salt, and scrub with different concentrations. Meanwhile, the natural sample water originates from seven rivers around the Jakarta area. This system is equipped with an HC-06 Bluetooth module to transfer measured data to the Android application to be monitored directly by the smartphone..