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Methods for sampling and detection of microplastics in water and sediment: A critical review

Prata, Joana Correia, da Costa, João P., Duarte, Armando C., Rocha-Santos, Teresa·2019·TrAC Trends in Analytical Chemistry

Abstract

Abstract Microplastics are widespread contaminants, virtually present in all environmental compartments. However, knowledge on sources, fate and environmental concentration over time and space still is limited due to the laborious and varied analytical procedures currently used. In this work we critically review the methods currently used for sampling and detection of microplastics, identifying flaws in study design and suggesting promising alternatives. This work provides insights on bulk sample collection, separation, digestion, identification and quantification, and mitigation of cross-contamination. The sampling of microplastics will improve in representativeness and reproducibility through the determination of bulk sample volume, filter's pore size, density separation and digestion solutions, but also through use of novel methods, such as the enhancement of visual identification by staining dyes, and the generalized use of chemical characterization.

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Metadata

Authors
Prata, J. C., da Costa, J. P., Duarte, A. C., & Rocha-Santos, T.
Venue
TrAC Trends in Analytical Chemistry
Publisher
Elsevier BV
Published
2019-01
Volume
110
Pages
150-159
ISSN
0165-9936 (ISSN-L)
OpenAlex
W2899577242
Cited by
1,264
References
10
FWCI
26.53
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Methods for sampling and detection of microplastics in water and sediment: A critical review. https://app.cochat.ai/papers/10.1016/j.trac.2018.10.029
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Prata, J. C., da Costa, J. P., Duarte, A. C., & Rocha-Santos, T. (2019). Methods for sampling and detection of microplastics in water and sediment: A critical review. TrAC Trends in Analytical Chemistry. https://doi.org/10.1016/j.trac.2018.10.029

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Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.