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A workflow for improving estimates of microplastic contamination in marine waters: A case study from North-Western Australia

Environmental Pollution 2018 124 citations ? Citation count from OpenAlex, updated daily. May differ slightly from the publisher's own count. Score: 40 ? 0–100 AI score estimating relevance to the microplastics field. Papers below 30 are filtered from public browse.
Frederieke J. Kroon, Cherie A. Motti Frederieke J. Kroon, Paula Sobral, Paula Sobral, Frederieke J. Kroon, Paula Sobral, Paula Sobral, Paula Sobral, Paula Sobral, Paula Sobral, Cherie A. Motti Cherie A. Motti Cherie A. Motti Paula Sobral, Paula Sobral, Cherie A. Motti Paula Sobral, Paula Sobral, Paula Sobral, Cherie A. Motti Cherie A. Motti Frederieke J. Kroon, Cherie A. Motti Frederieke J. Kroon, Cherie A. Motti Cherie A. Motti Paula Sobral, Frederieke J. Kroon, Paula Sobral, Paula Sobral, Paula Sobral, Paula Sobral, Paula Sobral, Frederieke J. Kroon, Frederieke J. Kroon, Sam Talbot, Paula Sobral, Frederieke J. Kroon, Paula Sobral, Frederieke J. Kroon, Paula Sobral, Paula Sobral, Sam Talbot, Paula Sobral, Frederieke J. Kroon, Paula Sobral, Paula Sobral, Cherie A. Motti Cherie A. Motti Paula Sobral, Cherie A. Motti Paula Sobral, Paula Sobral, Cherie A. Motti Cherie A. Motti Cherie A. Motti Cherie A. Motti Cherie A. Motti Cherie A. Motti Frederieke J. Kroon, Cherie A. Motti Cherie A. Motti Frederieke J. Kroon, Cherie A. Motti Cherie A. Motti Cherie A. Motti Cherie A. Motti Frederieke J. Kroon, Cherie A. Motti Frederieke J. Kroon, Cherie A. Motti Cherie A. Motti Paula Sobral, Paula Sobral, Paula Sobral, Paula Sobral, Paula Sobral, Paula Sobral, Paula Sobral, Paula Sobral, Paula Sobral, Paula Sobral, Cherie A. Motti Frederieke J. Kroon, Cherie A. Motti Cherie A. Motti Paula Sobral, Paula Sobral, Paula Sobral, Paula Sobral, Paula Sobral, Paula Sobral, Paula Sobral, Paula Sobral, Paula Sobral, Paula Sobral, Marji Puotinen, Frederieke J. Kroon, Frederieke J. Kroon, Paula Sobral, Frederieke J. Kroon, Paula Sobral, Paula Sobral, Frederieke J. Kroon, Frederieke J. Kroon, Frederieke J. Kroon, Paula Sobral, Paula Sobral, Paula Sobral, Paula Sobral, Cherie A. Motti Cherie A. Motti Cherie A. Motti Paula Sobral, Paula Sobral, Frederieke J. Kroon, Frederieke J. Kroon, Marji Puotinen, Paula Sobral, Paula Sobral, Paula Sobral, Frederieke J. Kroon, Paula Sobral, Cherie A. Motti Cherie A. Motti Paula Sobral, Paula Sobral, Paula Sobral, Paula Sobral, Frederieke J. Kroon, Paula Sobral, Paula Sobral, Paula Sobral, Cherie A. Motti

Summary

Researchers developed a standardised analysis workflow for quantifying microplastic contamination in marine waters, incorporating stereomicroscopic sorting, microscopic photography, and ATR-FTIR spectroscopy with both commercial and custom spectral libraries. Applying the workflow to 54 tow samples from north-western Australian waters, the study demonstrated improved accuracy and consistency in plastic identification by minimising subjectivity at each processing step.

Plastic pollution is ubiquitous throughout the marine environment, with microplastic (i.e. <5 mm) contamination a global issue of emerging concern. The lack of universally accepted methods for quantifying microplastic contamination, including consistent application of microscopy, photography, an spectroscopy and photography, may result in unrealistic contamination estimates. Here, we present and apply an analysis workflow tailored to quantifying microplastic contamination in marine waters, incorporating stereomicroscopic visual sorting, microscopic photography and attenuated total reflectance (ATR) Fourier transform infrared (FTIR) spectroscopy. The workflow outlines step-by-step processing and associated decision making, thereby reducing bias in plastic identification and improving confidence in contamination estimates. Specific processing steps include (i) the use of a commercial algorithm-based comparison of particle spectra against an extensive commercially curated spectral library, followed by spectral interpretation to establish the chemical composition, (ii) a comparison against a customised contaminant spectral library to eliminate procedural contaminants, and (iii) final assignment of particles as either natural- or anthropogenic-derived materials, based on chemical type, a compare analysis of each particle against other particle spectra, and physical characteristics of particles. Applying this workflow to 54 tow samples collected in marine waters of North-Western Australia visually identified 248 potential anthropogenic particles. Subsequent ATR-FTIR spectroscopy, chemical assignment and visual re-inspection of photographs established 144 (58%) particles to be of anthropogenic origin. Of the original 248 particles, 97 (39%) were ultimately confirmed to be plastics, with 85 of these (34%) classified as microplastics, demonstrating that over 60% of particles may be misidentified as plastics if visual identification is not complemented by spectroscopy. Combined, this tailored analysis workflow outlines a consistent and sequential process to quantify contamination by microplastics and other anthropogenic microparticles in marine waters. Importantly, its application will contribute to more realistic estimates of microplastic contamination in marine waters, informing both ecological risk assessments and experimental concentrations in effect studies.

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