The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.
Characterization of microplastic litter from oceans by an innovative approach based on hyperspectral imaging
Abstract
An innovative approach, based on HyperSpectral Imaging (HSI), was developed in order to set up an efficient method to analyze marine microplastic litter. HSI was applied to samples collected by surface-trawling plankton nets from several parts of the world (i.e. Arctic, Mediterranean, South Atlantic and North Pacific). Reliable information on abundance, size, shape and polymer type for the whole ensemble of plastic particles in each sample was retrieved from single hyperspectral images. The simultaneous characterization of the polymeric composition of the plastic debris represents an important analytical advantage considering that this information, and even the validation of the plastic nature of the small debris, is a common flaw in the analysis of marine microplastic pollution. HSI was revealed as a rapid, non-invasive, non-destructive and reliable technology for the characterization of the microplastic waste, opening a promising way for improving the plastic pollution monitoring.
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Cites
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Plastic debris in the open ocean
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Self-citationThe mediterranean plastic soup: synthetic polymers in mediterranean surface waters
Suaria, G., Avio, C. G., Mineo, A., Lattin, G. L., Magaldi, M. G., Belmonte, G., Moore, C. J., Regoli, F., & Aliani, S. (2016) · Scientific Reports · doi:10.1038/srep37551 · Cited by 791
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Emergence of Nanoplastic in the Environment and Possible Impact on Human Health
Lehner, R., Weder, C., Petri-Fink, A., & Rothen-Rutishauser, B. (2019) · Environmental Science & Technology · doi:10.1021/acs.est.8b05512 · Cited by 1,242
Microplastic abundance in atmospheric deposition within the Metropolitan area of Hamburg, Germany
Klein, M., & Fischer, E. K. (2019) · Science of The Total Environment · doi:10.1016/j.scitotenv.2019.05.405 · Cited by 832
Finding Microplastics in Soils: A Review of Analytical Methods
Möller, J. N., Löder, M. G. J., & Laforsch, C. (2020) · Environmental Science & Technology · doi:10.1021/acs.est.9b04618 · Cited by 559
Separation, characterization and identification of microplastics and nanoplastics in the environment
Fu, W., Min, J., Jiang, W., Li, Y., & Zhang, W. (2020) · Science of The Total Environment · doi:10.1016/j.scitotenv.2020.137561 · Cited by 361
Is It or Isn't It: The Importance of Visual Classification in Microplastic Characterization
Lusher, A. L., Bråte, I. L. N., Munno, K., Hurley, R. R., & Welden, N. A. (2020) · Applied Spectroscopy · doi:10.1177/0003702820930733 · Cited by 339
Metadata
- Authors
- Serranti, S., Palmieri, R., Bonifazi, G., & Cózar, A.
- Venue
- Waste Management
- Publisher
- Elsevier BV
- Published
- 2018-06
- Volume
- 76
- Pages
- 117-125
- ISSN
- 0956-053X (ISSN-L)
- OpenAlex
- W2789438661
- Cited by
- 204
- References
- 6
- FWCI
- 6.91
- Type
- journal article
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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