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Article ? AI-assigned paper type based on the abstract. Classification may not be perfect — flag errors using the feedback button. Tier 2 ? Original research — experimental, observational, or case-control study. Direct primary evidence. Environmental Sources Sign in to save

Evaluating Microplastic Detection Techniques in Human-Impacted Water Systems: A Mini-Review

ES Energy & Environments 2024 10 citations ? Citation count from OpenAlex, updated daily. May differ slightly from the publisher's own count. Score: 60 ? 0–100 AI score estimating relevance to the microplastics field. Papers below 30 are filtered from public browse.
Kalampyr Bexeitova, Kalampyr Bexeitova, Ulan Zhantikeyev, Ulan Zhantikeyev, Yelriza Yeszhan, Inabat Sapargali, Kenes Kudaibergenov, Kainaubek Toshtay, Sergey Mikhalovsky, Rachid Amrousse, Ronny Berndtsson, Seitkhan Azat

Summary

This mini-review summarizes the current methods scientists use to detect microplastics in water systems affected by human activity. It provides an overview of the tools and techniques available for identifying and measuring these tiny plastic particles. Understanding detection methods is important because accurate measurement is the first step toward assessing how much microplastic pollution people are exposed to through water.

The review aspires to contribute a comprehensive overview of current methodologies in microplastic research and to enrich the ongoing discourse surrounding environmental pollution and its far-reaching impacts.

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