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

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Colour and size influences plastic microbead underestimation, regardless of sediment grain size. / Nel, Holly A.; Dalu, Tatenda; Wasserman, Ryan J.; Hean, Jeffrey W.

In: Science of the Total Environment, Vol. 655, 10.03.2019, p. 567-570.

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Nel, Holly A. ; Dalu, Tatenda ; Wasserman, Ryan J. ; Hean, Jeffrey W. / Colour and size influences plastic microbead underestimation, regardless of sediment grain size. In: Science of the Total Environment. 2019 ; Vol. 655. pp. 567-570.

Bibtex

@article{853a37f0d5484122820d32642b54f8db,
title = "Colour and size influences plastic microbead underestimation, regardless of sediment grain size",
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.",
keywords = "Analytical methods, Detection probability, Microplastics, Observer error",
author = "Nel, {Holly A.} and Tatenda Dalu and Wasserman, {Ryan J.} and Hean, {Jeffrey W.}",
year = "2019",
month = mar,
day = "10",
doi = "10.1016/j.scitotenv.2018.11.261",
language = "English",
volume = "655",
pages = "567--570",
journal = "Science of the Total Environment",
issn = "0048-9697",
publisher = "Elsevier",

}

RIS

TY - JOUR

T1 - Colour and size influences plastic microbead underestimation, regardless of sediment grain size

AU - Nel, Holly A.

AU - Dalu, Tatenda

AU - Wasserman, Ryan J.

AU - Hean, Jeffrey W.

PY - 2019/3/10

Y1 - 2019/3/10

N2 - 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.

AB - 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.

KW - Analytical methods

KW - Detection probability

KW - Microplastics

KW - Observer error

UR - http://www.scopus.com/inward/record.url?scp=85056894114&partnerID=8YFLogxK

U2 - 10.1016/j.scitotenv.2018.11.261

DO - 10.1016/j.scitotenv.2018.11.261

M3 - Article

VL - 655

SP - 567

EP - 570

JO - Science of the Total Environment

JF - Science of the Total Environment

SN - 0048-9697

ER -