Abstract :

Microplastic Pollution In Water Bodies Has Been Identified As An Emerging Environmental Issue, Creating A Need For Simple And Easily Implementable Methods For Preliminary Screening To Identify The Presence Of Microplastic-like Materials. The Proposed Work Relies On A Hardware–software Integrated Platform For Screening Water Samples To Detect Suspended Materials That Exhibit Optical Characteristics Similar To Plastic.A Laser Diode Is Used As The Illumination Source To Pass Light Through A Water Sample Contained In A Transparent Container, While Photodiodes Positioned At Predetermined Angular Locations Measure The Intensity Of Light Scattering Caused By Suspended Materials. The Measured Signals Are Processed Using An Arduino Nano, Which Compares The Real-time Data With Baseline Readings Obtained From Pure Water Samples. The Experimental Results Indicate That The Presence Of Lightweight Suspended Materials Leads To Higher And Sustained Scattering Intensity, Whereas Pure Water Produces Low And Stable Scattering Responses. To Further Validate And Improve The Reliability Of The Optical Screening, A Compound Optical Microscope Is Used To Qualitatively Observe Particle Morphology, Typically Appearing As Fibers Or Thin Fragments, In The Suspected Samples. Although The Materials Are Not Chemically Or Molecularly Identified As Plastics, The Results Demonstrate That The Combination Of Optical Scattering And Microscopic Observation Provides Sufficient Merit For The Preliminary Screening Of Microplastic Pollution In Water Bodies. The Proposed System Offers A Strong Foundation For Educational Applications And Practical Water Quality Monitoring, And Can Be Extended In Future Research Through The Integration Of Advanced Analytical Techniques. Keywords – Microplastic, IOT, Pollution, Quality, Water.

Published:

20-2-2026

Issue:

Vol. 26 No. 2 (2026)

Page Nos:

42-51

Section:

Articles

License:

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

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