Campus Ideaz

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E-Cell OC

13715116086?profile=RESIZE_710xPlastic pollution is the biggest environmental threat today. We may be able to see bottles and bags floating at the surface, but the real danger is in the microplastics, those tiny pieces, that contaminate rivers, lakes, and oceans. Microplastics are absorbed into the food chain, they poison aquatic life, and enter human bodies via drinking water and seafood. Now, for detecting microplastics, we require laboratory equipment, which is time- and expense-intensive and not accessible to local communities.

The idea is to develop an affordable, portable sensor platform capable of detecting and measuring microplastics from water sources. With a built in controller and optical sensors which use laser scattering or fluorescence, the sensor can analyze water samples in real-time. Data will be captured and sent using IOT protocols to a central dashboard for monitoring trends over time. The sensor can be powered by a rechargeable battery or small solar panel.

This idea is beneficial to environmental researchers, NGOs, fishermen, and government agencies that need real-time data for pollution control and policymaking. The UI of the dashboard is to be simple, to make sure non technical users don't have a hard time using the sensor. I believe this problem is significant to me because health and livelihood in my community are directly affected by water qualityand microplastics are an unseen danger that few are able to accurately measure today. I firmly believe this would expand access to everyone who cares for environment and their health. My vision is to see such portable devices deployed widely, so that detecting microplastics becomes as routine as checking water pH or turbidity.

Tags: environment, water, pollution, sensor, microplastics

Votes: 22
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Comments

  • Over time, dirt, algae, or film buildup can distort optical readings. Integrate a small mechanical wiper, hydrophobic coating, or periodic flush system to prevent fouling and extend sensor life.
  • Detecting the presence of microplastics is useful, but measuring how much is present is far more valuable for researchers.Try to add a quantification layer — maybe estimate concentration by analyzing light scattering intensity or particle counts from image data.
  • Ironically, many water-monitoring devices themselves use plastic casings or batteries that end up as waste. Use biodegradable housing materials or modular replaceable units — it aligns with your mission and makes the project more eco-consistent.
  • Just showing readings on a dashboard might not justify the IoT tag. Add features like automatic alerts when microplastic levels cross thresholds, or GPS-tagged mapping of pollution hotspots for better visualization and impact.
  • Detecting low-concentration microplastics directly in large water volumes is tough. Consider a pre-filtration or sedimentation step to concentrate microplastics before optical sensing — it’ll raise sensitivity without overcomplicating the setup.
  • Field sensors often give inconsistent readings across locations and lighting conditions. Include a periodic calibration process using standard microplastic suspensions or lab-tested samples. This boosts scientific credibility.
  • Regulatory & standards compliance Environmental monitoring is often regulated. Will your device and data outputs meet accepted standards (e.g. for environmental agencies)? Plan for certification or standardization.
  • Durability, maintenance & fouling In real-world water bodies, sensors may get fouled by biofilm, algae, silt, etc. How will you keep the optical elements clean? What maintenance schedule is assumed?
  • Selectivity vs interference Water samples contain many particulates (natural organic matter, sediments, algae). How will you distinguish microplastics from background noise or interfering particles?
  • Validation & calibration plan needed How will you calibrate the sensor against gold-standard lab methods (e.g. microscopy, FTIR)? You must demonstrate that your readings correlate well with lab-measured concentrations.
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