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Updated: Jan 20, 2026

Sampling and Identification of Microplastics in Groundwater
Published on: November 7, 2025
A novel method for purification, quantitative analysis and characterization of microplastic fibers using Micro-FTIR
Fabiana Corami1, Beatrice Rosso2, Barbara Bravo3
1Institute of Polar Sciences, CNR-ISP, Campus Scientifico - Ca' Foscari University of Venice, Via Torino, 155, 30172, Venezia-Mestre, Italy.
A new method accurately quantifies and identifies microplastic fibers from laundry, a major ocean pollutant. This technique improves understanding of synthetic textile fiber release into aquatic environments.
Area of Science:
- Environmental Science
- Analytical Chemistry
- Materials Science
Background:
- Microplastic fibers from washing synthetic textiles are a significant environmental pollutant in aquatic ecosystems.
- Existing methods for microplastic fiber analysis are limited in quantification and polymer identification.
Purpose of the Study:
- To develop a novel, robust method for quantifying and identifying microplastic fibers in laundry effluent.
- To assess the release of microplastic fibers during household washing of synthetic fabrics.
Main Methods:
- Simulated washing of synthetic fabrics using commercial detergents.
- Filtration of effluent using GF/F (0.7 μm) and Anodisc (0.2 μm) filters to capture small fibers.
- Analysis of filtered fibers using Micro-Fourier Transform Infrared Spectroscopy (Micro-FTIR) for polymer identification and Scanning Electron Microscopy (SEM) for morphological confirmation.
Main Results:
- A novel purification procedure for effluent was successfully developed.
- The Micro-FTIR method achieved optimal polymer identification matches with an average of 80%.
- SEM analysis confirmed fiber dimensions, validating the filtration efficiency for small fibers.
Conclusions:
- The developed method provides accurate quantification and identification of microplastic fibers from laundry.
- This technique offers a significant advancement in monitoring and understanding microplastic pollution from textiles.
- The method is robust, replicable, and suitable for environmental monitoring and research.
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