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IoT-Based Microplastic Detection and Water Quality Monitoring System
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Researchers built a low-cost IoT device combining turbidity and TDS sensors to estimate microplastic contamination in real time, using a threshold algorithm to trigger automatic water recirculation and purification — providing a household-scale monitoring approach where conventional laboratory analysis is impractical.
Presence of microplastic in drinking water is becoming an increasingly alarming environmental and health concern, the challenge with RO/UV based purification system is, they do not provide real time detection of microplastics. In this work, a low-cost sensor-based monitoring system is presented for estimating microplastic level using turbidity and TDS sensors. The combined sensor values produce a cumulative threshold value, which is utilized by the microcontroller to evaluate quality of water. The result is shown instantaneously on an LCD screen as Normal Water or Contaminated Water. Further, when contamination occurs, water is re-circulated and purified with a motor pump under relay control. The system is portable and power-efficient, can thereby become part of household installations at low cost with great potential for practical use towards real-time microplastic awareness, water quality monitoring. This system further runs continuously so that the water quality parameters can be monitored constantly. This algorithm can make decisions on the basis of threshold to enhance the detection reliability between different state water mobilities. Can be Connected to Household Plumbing with relative ease: Basic household plumbing, Simple Set Up (no major changes to home). Its compact design allows for additional sensors to be added in the future as need. Generally, the system increases user education and encourages safely producing drinking water
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