The DOI matches its Crossref record; 14 of the 14 references it cites were found in a registry or an index.
Identification and Quantification of Microplastics in Wastewater Using Focal Plane Array-Based Reflectance Micro-FT-IR Imaging
Open accessAbstract
Microplastics (<5 mm) have been documented in environmental samples on a global scale. While these pollutants may enter aquatic environments via wastewater treatment facilities, the abundance of microplastics in these matrices has not been investigated. Although efficient methods for the analysis of microplastics in sediment samples and marine organisms have been published, no methods have been developed for detecting these pollutants within organic-rich wastewater samples. In addition, there is no standardized method for analyzing microplastics isolated from environmental samples. In many cases, part of the identification protocol relies on visual selection before analysis, which is open to bias. In order to address this, a new method for the analysis of microplastics in wastewater was developed. A pretreatment step using 30% hydrogen peroxide (H2O2) was employed to remove biogenic material, and focal plane array (FPA)-based reflectance micro-Fourier-transform (FT-IR) imaging was shown to successfully image and identify different microplastic types (polyethylene, polypropylene, nylon-6, polyvinyl chloride, polystyrene). Microplastic-spiked wastewater samples were used to validate the methodology, resulting in a robust protocol which was nonselective and reproducible (the overall success identification rate was 98.33%). The use of FPA-based micro-FT-IR spectroscopy also provides a considerable reduction in analysis time compared with previous methods, since samples that could take several days to be mapped using a single-element detector can now be imaged in less than 9 h (circular filter with a diameter of 47 mm). This method for identifying and quantifying microplastics in wastewater is likely to provide an essential tool for further research into the pathways by which microplastics enter the environment.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
A new method for non-parametric multivariate analysis of variance
Anderson, M. J. (2001) · Austral Ecology · doi:10.1111/j.1442-9993.2001.01070.pp.x · Cited by 13,828
Microplastics as contaminants in the marine environment: A review
Cole, M., Lindeque, P., Halsband, C., & Galloway, T. S. (2011) · Marine Pollution Bulletin · doi:10.1016/j.marpolbul.2011.09.025 · Cited by 6,023
Hidalgo-Ruz, V., Gutow, L., Thompson, R. C., & Thiel, M. (2012) · Environmental Science & Technology · doi:10.1021/es2031505 · Cited by 5,440
Life in the “plastisphere”: microbial communities on plastic marine debris
Zettler, E. R., Mincer, T. J., & Amaral-Zettler, L. A. (2013) · Environmental Science & Technology · doi:10.1021/es401288x · Cited by 3,368
Eerkes-Medrano, D., Thompson, R. C., & Aldridge, D. C. (2015) · Water Research · doi:10.1016/j.watres.2015.02.012 · Cited by 2,638
Browne, M. A., Dissanayake, A., Galloway, T. S., Lowe, D. M., & Thompson, R. C. (2008) · Environmental Science & Technology · doi:10.1021/es800249a · Cited by 2,263
Microplastic pollution in the surface waters of the Laurentian Great Lakes
Eriksen, M., Mason, S., Wilson, S., Box, C., Zellers, A., Edwards, W., Farley, H., & Amato, S. (2013) · Marine Pollution Bulletin · doi:10.1016/j.marpolbul.2013.10.007 · Cited by 1,937
Microplastic pollution in deep-sea sediments
Van Cauwenberghe, L., Vanreusel, A., Mees, J., & Janssen, C. R. (2013) · Environmental Pollution · doi:10.1016/j.envpol.2013.08.013 · Cited by 1,575
Microplastics in freshwater ecosystems: what we know and what we need to know
Wagner, M., Scherer, C., Alvarez-Muñoz, D., Brennholt, N., Bourrain, X., Buchinger, S., Fries, E., Grosbois, C., Klasmeier, J., Marti, T., et al. (2014) · Environmental Sciences Europe · doi:10.1186/s12302-014-0012-7 · Cited by 1,543
Trophic level transfer of microplastic: Mytilus edulis (L.) to Carcinus maenas (L.)
Farrell, P., & Nelson, K. (2013) · Environmental Pollution · doi:10.1016/j.envpol.2013.01.046 · Cited by 1,507
Plastic ingestion by planktivorous fishes in the North Pacific central gyre
Boerger, C. M., Lattin, G. L., Moore, S. L., & Moore, C. J. (2010) · Marine Pollution Bulletin · doi:10.1016/j.marpolbul.2010.08.007 · Cited by 1,273
Fries, E., Dekiff, J. H., Willmeyer, J., Nuelle, M.-T., Ebert, M., & Remy, D. (2013) · Environmental Science: Processes & Impacts · doi:10.1039/c3em00214d · Cited by 926
Contamination of beach sediments of a subalpine lake with microplastic particles
Imhof, H. K., Ivleva, N. P., Schmid, J., Niessner, R., & Laforsch, C. (2013) · Current Biology · doi:10.1016/j.cub.2013.09.001 · Cited by 699
Cooper, D. A., & Corcoran, P. L. (2010) · Marine Pollution Bulletin · doi:10.1016/j.marpolbul.2009.12.026 · Cited by 663
Cited by
Chemical Analysis of Microplastics and Nanoplastics: Challenges, Advanced Methods, and Perspectives
Ivleva, N. P. (2021) · Chemical Reviews · doi:10.1021/acs.chemrev.1c00178 · Cited by 1,172
Liu, G., Zhu, Z., Yang, Y., Sun, Y., Yu, F., & Ma, J. (2019) · Environmental Pollution · doi:10.1016/j.envpol.2018.11.100 · Cited by 1,080
Identification of microplastics using Raman spectroscopy: Latest developments and future prospects
Araujo, C. F., Nolasco, M. M., Ribeiro, A. M. P., & Ribeiro-Claro, P. J. A. (2018) · Water Research · doi:10.1016/j.watres.2018.05.060 · Cited by 1,059
Identification methods in microplastic analysis: A review
Shim, W. J., Hong, S. H., & Eo, S. E. (2017) · Analytical Methods · doi:10.1039/c6ay02558g · Cited by 995
Erni-Cassola, G., Gibson, M. I., Thompson, R. C., & Christie-Oleza, J. A. (2017) · Environmental Science & Technology · doi:10.1021/acs.est.7b04512 · Cited by 848
Metadata
- Authors
- Tagg, A. S., Sapp, M., Harrison, J. P., & Ojeda, J. J.
- Venue
- Analytical Chemistry
- Publisher
- American Chemical Society (ACS)
- Published
- 2015-05-29
- Volume
- 87
- Issue
- 12
- Pages
- 6032-6040
- ISSN
- 0003-2700 (ISSN-L)
- 1520-6882
- OpenAlex
- W1859098346
- Cited by
- 687
- References
- 14
- FWCI
- 15.96
- Type
- journal article
- Language
- en
- Open access
- hybrid
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
