4.7 Article

Comparison of two procedures for microplastics analysis in sediments based on an interlaboratory exercise

Journal

CHEMOSPHERE
Volume 313, Issue -, Pages -

Publisher

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.chemosphere.2022.137479

Keywords

Microplastics; Sediments; Method comparison; Spectroscopy; Visual microscopy

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This study compares two methods for analyzing microplastics in sediments and provides recommendations for improvement. Two laboratories processed sediment samples using two methods and identified particles with visual microscopy and spectroscopy. The study found that visual identification alone is not an accurate method to identify microplastics, but Raman and FTIR spectroscopy proved highly accurate. This research is the first to quantify complete method performance for microplastics in sediments and is essential for long-term environmental monitoring.
Microplastics (MP) are distributed throughout ecosystems and settle into sediments where they may threaten benthic communities; however, methods for quantifying MP in sediments have not been standardized. This study compares two methods for analyzing MP in sediments, including extraction and identification, and provides recommendations for improvement. Two laboratories processed sediment samples using two methods, referred to as core and augmentation, and identified particles with visual microscopy and spectroscopy. Using visual microscopy, the augmentation method yielded mean recoveries (78%) significantly greater than the core (47%) (p = 0.03), likely due to the use of separatory funnels in the former. Spectroscopic recovery of particles was lower at 42 and 54% for the core and augmentation methods, respectively. We suspect the visual identification re-coveries are overestimations from erroneous identification of non-plastic materials persisting post-extraction, indicating visual identification alone is not an accurate method to identify MP, particularly in complex matrices like sediment. However, both Raman and FTIR proved highly accurate at identifying recovered MP, with 96.7% and 99.8% accuracy, respectively. Low spectroscopic recovery of spiked particles indicates that MP recovery from sediments is lower than previously assumed, and MP may be more abundant in sediments than current analyses suggest. To our knowledge, likely due to the excessive time/labor-intensity associated with MP analyses, this is the first interlaboratory study to quantify complete method performance (extraction, identifi-cation) for sediments, with regards to capabilities and limitations. This is essential as regulatory bodies move toward long-term environmental MP monitoring.

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