Issue |
J. Eur. Opt. Society-Rapid Publ.
Volume 19, Number 1, 2023
EOSAM 2022
|
|
---|---|---|
Article Number | 14 | |
Number of page(s) | 11 | |
DOI | https://doi.org/10.1051/jeos/2023010 | |
Published online | 10 April 2023 |
Research Article
Sorting microplastics from other materials in water samples by ultra-high-definition imaging
1
Department of Physics and Mathematics, Center for Photonics Sciences, University of Eastern Finland, PO Box 111, 80101 Joensuu, Finland
2
Department of Technical Physics, University of Eastern Finland, PO Box 1627, 70211 Kuopio, Finland
3
School of Forest Sciences, University of Eastern Finland, PO Box 111, 80101 Joensuu, Finland
4
Valmet Automation Inc., Kehräämöntie 3, 87400 Kajaani, Finland
5
FSCN Research Centre, Mid Sweden University, 85170 Sundsvall, Sweden
* Corresponding author: matthieu.roussey@uef.fi
Received:
22
November
2022
Accepted:
10
March
2023
In this study a commercial particle analyzer was used to image and help sorting microplastic particles (MPs) dispersed in filtrated and de-aerated tap water. The device provides a relatively easy and fast procedure for obtaining ultra-high-definition imaging, allowing the determination of shape, size, and number of 2D-projections of solid particles. The image analysis revealed clear differences among the studied different MPs originating from the grinding of five common grades of plastic sheets as they affect the image rendering differently, principally due to the light scattering either at the surface or in the volume of the microplastics. The high-quality imaging of the device also allows the discrimination of the microplastics from air bubbles with well-defined spherical shapes as well as to obtain an estimate of the size of MPs in a snapshot. We associate the differences among the shapes of the identified MPs in this study depending on the plastic type with known physical properties, such as brittleness, crystallinity, or softness. Furthermore, as a novel method we exploit a parameter based on the light intensity map from moving particles in cuvette flow to sort MPs from other particles, such as, wood fiber, human hair, and air bubbles. Using the light intensity map, which is related to the plastic-water refractive index ratio, the presence of microplastics in water can be revealed among other particles, but not their specific plastic type.
Key words: Microplastics / Light scattering / Image analysis
© The Author(s), published by EDP Sciences, 2023
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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