Colour and size influences plastic microbead underestimation, regardless of sediment grain size

Holly A. Nel, Tatenda Dalu, Ryan J. Wasserman, Jeffrey W. Hean

Research output: Contribution to journalArticlepeer-review

15 Citations (Scopus)
172 Downloads (Pure)

Abstract

The quantification of microplastics in environmental samples often requires an observer to determine whether a particle is plastic or non-plastic, prior to further verification procedures. This implies that inconspicuous microplastics with a low natural detection may be underestimated. The present study aimed at assessing this underestimation, looking at how colour (white, green and blue), size (large; ~1000 μm and small; <400 μm) and grain size fraction may affect detection. Sediment treatments varying in grain size were inoculated with known quantities of low-density polyethylene microbeads extracted from commercially bought facial scrubs. These microbeads varied in colour and size. Once extracted using a density separation method microbeads were counted. An overall underestimation of 78.59% may be a result of observer error and/or technical error. More specifically, the results suggested that microbeads varying in colour and size have a different detection probability and that these microbead features are more important in underestimation likelihoods than grain sizes.

Original languageEnglish
Pages (from-to)567-570
Number of pages4
JournalScience of the Total Environment
Volume655
Early online date19 Nov 2018
DOIs
Publication statusPublished - 10 Mar 2019

Keywords

  • Analytical methods
  • Detection probability
  • Microplastics
  • Observer error

ASJC Scopus subject areas

  • Environmental Engineering
  • Environmental Chemistry
  • Waste Management and Disposal
  • Pollution

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