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A multimodal Raman - XRF approach for identifying marine coating microplastics in environmental samples.

Zhi Yang Soon1, Mark Ming-Cheng Cheng2, Leixin Ouyang2

  • 1Chesapeake Biological Laboratory, University of Maryland Center for Environmental Science, Solomons, MD, USA.

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Marine coatings are a source of ocean microplastics. Combining Raman spectroscopy and X-ray fluorescence (XRF) effectively identifies and classifies these microplastic particles, improving environmental monitoring.

Keywords:
Marine coatingsMicroplasticsRaman spectroscopyXRF spectroscopy

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Area of Science:

  • Environmental Science
  • Analytical Chemistry
  • Materials Science

Background:

  • Marine coatings are an understudied source of microplastic pollution in oceans.
  • Distinguishing coating microplastics from conventional plastics is challenging due to similar physical and spectral properties.

Purpose of the Study:

  • To develop and validate a combined Raman spectroscopy and X-ray fluorescence (XRF) approach for identifying and classifying marine coating microplastics.
  • To differentiate coating-derived microplastics from other common microplastic types in marine environments.

Main Methods:

  • Utilized Raman spectroscopy for organic vibrational signature analysis.
  • Integrated X-ray fluorescence (XRF) for elemental composition analysis.
  • Applied Principal Component Analysis (PCA) to spectral data for classification.

Main Results:

  • Raman spectroscopy alone showed spectral overlap, limiting accurate classification of coatings.
  • Integrating XRF elemental data with Raman spectra significantly improved the separation and classification of epoxy, antifouling, anticorrosive, and topcoat materials.
  • The combined method accurately distinguished copper-rich, zinc-based, epoxy, and topcoat coatings, overcoming limitations of single-technique analysis.

Conclusions:

  • The combined Raman spectroscopy and XRF approach provides a robust method for identifying and classifying marine coating microplastics.
  • This multimodal technique enhances accuracy in microplastic source attribution and environmental monitoring.
  • Portable instruments allow for feasible field application, aiding in the assessment and mitigation of coating-derived microplastic pollution.