The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.
A simple method for the extraction and identification of light density microplastics from soil
Open accessAbstract
This article introduces a simple and cost-saving method developed to extract, distinguish and quantify light density microplastics of polyethylene (PE) and polypropylene (PP) in soil. A floatation method using distilled water was used to extract the light density microplastics from soil samples. Microplastics and impurities were identified using a heating method (3-5s at 130°C). The number and size of particles were determined using a camera (Leica DFC 425) connected to a microscope (Leica wild M3C, Type S, simple light, 6.4×). Quantification of the microplastics was conducted using a developed model. Results showed that the floatation method was effective in extracting microplastics from soils, with recovery rates of approximately 90%. After being exposed to heat, the microplastics in the soil samples melted and were transformed into circular transparent particles while other impurities, such as organic matter and silicates were not changed by the heat. Regression analysis of microplastics weight and particle volume (a calculation based on image J software analysis) after heating showed the best fit (y=1.14x+0.46, R2=99%, p<0.001). Recovery rates based on the empirical model method were >80%. Results from field samples collected from North-western China prove that our method of repetitive floatation and heating can be used to extract, distinguish and quantify light density polyethylene microplastics in soils. Microplastics mass can be evaluated using the empirical model.
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Cites
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The impact of debris on marine life
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“47 Studies have also shown that organic pollutants can be attracted to microplastics (Brady and 48 Weil, 2000; Frias et al., 2010; Gall and Thompson, 2015; Hirai et al., 2011; Leslie, 2014; 49 Seltenrich; Yan et al.).”
BackgroundMicroplastic in Terrestrial Ecosystems and the Soil?
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“…can be determined using a microscope (e.g. TM3030, 72 Hitachi, Japan)(Wang et al., 2016b) allowing microplastics to be classified as small 73 microplastics (SMP) measuring <1 mm or large microplastics (LMP) measuring 1 mm to 5 74 mm (Imhof et al., 2012; Van Cauwenberghe et al., 2015b).”
BackgroundPhysical Adsorption of Charged Plastic Nanoparticles Affects Algal Photosynthesis
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Cited by
Environmental exposure to microplastics: An overview on possible human health effects
Prata, J. C., da Costa, J. P., Lopes, I., Duarte, A. C., & Rocha-Santos, T. (2020) · Science of The Total Environment · doi:10.1016/j.scitotenv.2019.134455 · Cited by 2,690
Kumar, R., Verma, A., Shome, A., Sinha, R., Sinha, S., Jha, P. K., Kumar, R., Kumar, P., Shubham, Das, S., et al. (2021) · Sustainability · doi:10.3390/su13179963 · Cited by 1,111
Hurley, R. R., Lusher, A. L., Olsen, M., & Nizzetto, L. (2018) · Environmental Science & Technology · doi:10.1021/acs.est.8b01517 · Cited by 992
Fei, Y., Huang, S., Zhang, H., Tong, Y., Wen, D., Xia, X., Wang, H., Luo, Y., & Barceló, D. (2020) · Science of The Total Environment · doi:10.1016/j.scitotenv.2019.135634 · Cited by 854
Occurrence, sources, human health impacts and mitigation of microplastic pollution
Karbalaei, S., Hanachi, P., Walker, T. R., & Cole, M. (2018) · Environmental Science and Pollution Research · doi:10.1007/s11356-018-3508-7 · Cited by 700
Metadata
- Authors
- Zhang, S., Yang, X., Gertsen, H., Peters, P., Salánki, T., & Geissen, V.
- Venue
- Science of The Total Environment
- Publisher
- Elsevier BV
- Published
- 2018-03
- Volume
- 616-617
- Pages
- 1056-1065
- ISSN
- 0048-9697 (ISSN-L)
- OpenAlex
- W2766060448
- Cited by
- 538
- References
- 8
- FWCI
- 11.37
- Type
- journal article
- Language
- en
- Open access
- green
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- Zhang, S., Yang, X., Gertsen, H., Peters, P., Salánki, T., & Geissen, V. (2018). A simple method for the extraction and identification of light density microplastics from soil. Science of The Total Environment. https://doi.org/10.1016/j.scitotenv.2017.10.213
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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.
