| Issue |
EPJ Web Conf.
Volume 287, 2023
EOS Annual Meeting (EOSAM 2023)
|
|
|---|---|---|
| Article Number | 09002 | |
| Number of page(s) | 2 | |
| Section | Topical Meeting (TOM) 9- Applications in Optics and Photonics | |
| DOI | https://doi.org/10.1051/epjconf/202328709002 | |
| Published online | 18 October 2023 | |
https://doi.org/10.1051/epjconf/202328709002
Detection and identification of microplastics directly in water by hyperspectral imaging
1 Department of Physics and Mathematics, Center for Photonics Sciences, University of Eastern Finland, P.O. Box 111, 80101 Joensuu, Finland
2 SIB Labs, University of Eastern Finland, P.O. Box 1627, 70211 Kuopio, Finland.
3 School of Computing, Institute of Photonics, University of Eastern Finland, P.O. Box 111, 80101 Joensuu, Finland.
4 Department of Environmental and Biological Sciences, University of Eastern Finland, P.O. Box 111, 80101 Joensuu, Finland.
* Corresponding author: matthieu.roussey@uef.fi
Published online: 18 October 2023
We use hyperspectral imaging to identify the plastic types constituting mixtures of microplastics directly in water. For the current study we used known microplastics made by milling original pristine plastic sheets and mixed them in water. Using database information and spectral information measured on those pristine plastic we created a decision table enabling the identification. This technique is used under these conditions paving a way towards on-field and in-line measurements.
© The Authors, published by EDP Sciences, 2023
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