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Separation and Identification of Conventional Microplastics from Farmland Soils
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Microplastic identification and quantification from organic rich sediments: A validated laboratory protocol.

P Vermeiren1, C Muñoz1, K Ikejima2

  • 1Laboratory for Coastal Ecology and Conservation, Faculty of Agriculture and Marine Science, Kochi University, Japan; Dept. Environmental Science, Faculty of Science, Radboud University, The Netherlands.

Environmental Pollution (Barking, Essex : 1987)
|March 13, 2020
PubMed
Summary

A new protocol efficiently extracts microplastics from organic-rich, fine-grained sediments. This method uses Fenton's reagent, a novel density separation column, and Nile Red staining for cost-effective, large-scale environmental monitoring.

Keywords:
Automated particle countingDebrisDensity separationFluorescence microscopyFourier transform infrared spectroscopyNile red dye

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Area of Science:

  • Environmental Science
  • Analytical Chemistry
  • Marine Biology

Background:

  • Plastic pollution is a significant global environmental issue.
  • Microplastic contamination is prevalent in marine and estuarine sediments.
  • Existing methods for microplastic analysis are often fragmented and challenging to apply to complex sediment types.

Purpose of the Study:

  • To develop a holistic, cost-effective protocol for microplastic extraction from organic-rich, fine-grained sediments.
  • To integrate and validate methodological advances for microplastic analysis.
  • To enable large-scale monitoring of microplastic contamination in critical environments.

Main Methods:

  • Pre-treatment using Fenton's reagent to reduce organic matter.
  • Density separation using a novel overflow column (OC-T) with zinc chloride solution.
  • Automated epifluorescence microscopy with Nile Red staining and Fourier Transform-Infrared Spectroscopy (FT-IR) for polymer identification.

Main Results:

  • Fenton's reagent effectively reduced organic matter, compatible with FT-IR, though it altered microplastic size.
  • The OC-T column achieved over 90% recovery rates for microplastics.
  • Nile Red staining combined with automated microscopy identified 91.7% of particles as plastics, with quantification down to 125 μm and detection down to 62.5 μm.

Conclusions:

  • The developed protocol is efficient for large-scale microplastic monitoring in estuarine sediments.
  • Further validation is needed to account for polymer-specific recovery rates and Nile Red identification uncertainties.
  • The protocol shows potential for application to other organic-rich fine-grained matrices like soils and sludge.