The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.
Capturing microfibers – marketed technologies reduce microfiber emissions from washing machines
Abstract
Microfibers are a common type of microplastic. One known source of microfibers to the environment is domestic laundering, which can release thousands of fibers into washing machine effluent with every wash. Here, we adapted existing methods to measure the length, count and weight of microfibers in laundry effluent. We used this method to test the efficacy of two technologies marketed to reduce microfiber emissions: the Cora Ball and Lint LUV-R filter. Both technologies significantly reduced the numbers of microfibers from fleece blankets in washing effluent. The Lint LUV-R captured an average of 87% of microfibers in the wash by count, compared to the Cora Ball which captured 26% by count. The Lint LUV-R also significantly reduced the total weight and average length of fibers in effluent. While further research is needed to understand other sources of microfiber emissions, these available technologies could be adopted to reduce emissions from laundering textiles.
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
Production, use, and fate of all plastics ever made
Geyer, R., Jambeck, J. R., & Law, K. L. (2017) · Science Advances · doi:10.1126/sciadv.1700782 · Cited by 18,606
Lusher, A. L., McHugh, M., & Thompson, R. C. (2013) · Marine Pollution Bulletin · doi:10.1016/j.marpolbul.2012.11.028 · Cited by 2,075
Investigating microplastic trophic transfer in marine top predators
Nelms, S. E., Galloway, T. S., Godley, B. J., Jarvis, D. S., & Lindeque, P. K. (2018) · Environmental Pollution · doi:10.1016/j.envpol.2018.02.016 · Cited by 1,039
Hernandez, E., Nowack, B., & Mitrano, D. M. (2017) · Environmental Science & Technology · doi:10.1021/acs.est.7b01750 · Cited by 779
Plastic Debris in 29 Great Lakes Tributaries: Relations to Watershed Attributes and Hydrology
Baldwin, A. K., Corsi, S. R., & Mason, S. A. (2016) · Environmental Science & Technology · doi:10.1021/acs.est.6b02917 · Cited by 739 · cited 1×
“As a consequence, microfibers are now found in habitats and wildlife around the world (Baldwin et al., 2016; Barrows et al., 2018; Lusher et al., 2014; Nelms et al., 2018).”
BackgroundSynthetic fibers as an indicator of land application of sludge
Zubris, K. A. V., & Richards, B. K. (2005) · Environmental Pollution · doi:10.1016/j.envpol.2005.04.013 · Cited by 723
Feeding type and development drive the ingestion of microplastics by freshwater invertebrates
Scherer, C., Brennholt, N., Reifferscheid, G., & Wagner, M. (2017) · Scientific Reports · doi:10.1038/s41598-017-17191-7 · Cited by 448
Cited by
Plastic pollution solutions: emerging technologies to prevent and collect marine plastic pollution
Schmaltz, E., Melvin, E. C., Diana, Z., Gunady, E. F., Rittschof, D., Somarelli, J. A., Virdin, J., & Dunphy-Daly, M. M. (2020) · Environment International · doi:10.1016/j.envint.2020.106067 · Cited by 459
De Falco, F., Cocca, M., Avella, M., & Thompson, R. C. (2020) · Environmental Science & Technology · doi:10.1021/acs.est.9b06892 · Cited by 452
Microplastics entering northwestern Lake Ontario are diverse and linked to urban sources
Grbić, J., Helm, P., Athey, S., & Rochman, C. M. (2020) · Water Research · doi:10.1016/j.watres.2020.115623 · Cited by 407
Self-citationWerbowski, L. M., Gilbreath, A. N., Munno, K., Zhu, X., Grbic, J., Wu, T., Sutton, R., Sedlak, M. D., Deshpande, A. D., & Rochman, C. M. (2021) · ACS ES&T Water · doi:10.1021/acsestwater.1c00017 · Cited by 400
Self-citationMicroplastics in lakes and rivers: An issue of emerging significance to limnology
D’Avignon, G., Gregory-Eaves, I., & Ricciardi, A. (2022) · Environmental Reviews · doi:10.1139/er-2021-0048 · Cited by 169
Metadata
- Authors
- McIlwraith, H. K., Lin, J., Erdle, L. M., Mallos, N., Diamond, M. L., & Rochman, C. M.
- Venue
- Marine Pollution Bulletin
- Publisher
- Elsevier BV
- Published
- 2019-02
- Volume
- 139
- Pages
- 40-45
- ISSN
- 0025-326X (ISSN-L)
- OpenAlex
- W2904384696
- Cited by
- 206
- References
- 7
- FWCI
- 5.36
- Type
- journal article
- Language
- en
- Open access
- closed
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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Capturing microfibers – marketed technologies reduce microfiber emissions from washing machines. https://app.cochat.ai/papers/10.1016/j.marpolbul.2018.12.012
- The paper
- McIlwraith, H. K., Lin, J., Erdle, L. M., Mallos, N., Diamond, M. L., & Rochman, C. M. (2019). Capturing microfibers – marketed technologies reduce microfiber emissions from washing machines. Marine Pollution Bulletin. https://doi.org/10.1016/j.marpolbul.2018.12.012
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.