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Cited by 341

The DOI matches its Crossref record; 70 of the 70 references it cites were found in a registry or an index.

Raman microspectroscopy as a tool for microplastic particle analysis

Anger, Philipp M., von der Esch, Elisabeth, Baumann, Thomas, Elsner, Martin, Niessner, Reinhard, Ivleva, Natalia P.·2018·TrAC Trends in Analytical Chemistry

Abstract

Abstract This review discusses the identification and quantification of microplastic (MP) using Raman microspectroscopy (RM). It addresses scientists investigating MP in environmental and food samples. We show the benefits and limitations of RM from a technical point of view (sensitivity, smallest particle sizes, speed optimizations, analysis artefacts and background effects) and provide an assessment of the relevance of lab analyses and their interpretation (sample sizes for the analysis, uncertainty of the analysis). All parts are complimented by extensive literature data and a theoretical derivation of the concepts. We conclude with suggestions for a feasible and meaningful RM analysis of MP samples.

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Crossref · 10.1016/j.trac.2018.10.010

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Metadata

Authors
Anger, P. M., von der Esch, E., Baumann, T., Elsner, M., Niessner, R., & Ivleva, N. P.
Venue
TrAC Trends in Analytical Chemistry
Publisher
Elsevier BV
Published
2018-12
Volume
109
Pages
214-226
ISSN
0165-9936 (ISSN-L)
OpenAlex
W2897707561
Cited by
341
References
70
FWCI
7.60
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Raman microspectroscopy as a tool for microplastic particle analysis. https://app.cochat.ai/papers/10.1016/j.trac.2018.10.010
The paper
Anger, P. M., von der Esch, E., Baumann, T., Elsner, M., Niessner, R., & Ivleva, N. P. (2018). Raman microspectroscopy as a tool for microplastic particle analysis. TrAC Trends in Analytical Chemistry. https://doi.org/10.1016/j.trac.2018.10.010

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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.