Sorting microplastics from other materials in water samples by ultra-high-definition imaging
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, siz...
| Main Authors: | , , , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
EDP Sciences
2023-01-01
|
| Series: | Journal of the European Optical Society-Rapid Publications |
| Subjects: | |
| Online Access: | https://jeos.edpsciences.org/articles/jeos/full_html/2023/01/jeos20220038/jeos20220038.html |
| _version_ | 1797843667094863872 |
|---|---|
| author | Peiponen Kai-Erik Kanyathare Boniphace Hrovat Blaž Papamatthaiakis Nikolaos Hattuniemi Joni Asamoah Benjamin Haapala Antti Koistinen Arto Roussey Matthieu |
| author_facet | Peiponen Kai-Erik Kanyathare Boniphace Hrovat Blaž Papamatthaiakis Nikolaos Hattuniemi Joni Asamoah Benjamin Haapala Antti Koistinen Arto Roussey Matthieu |
| author_sort | Peiponen Kai-Erik |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-04-09T17:09:05Z |
| format | Article |
| id | doaj.art-c95b22e58d9847c58855a358b5fccdb7 |
| institution | Directory Open Access Journal |
| issn | 1990-2573 |
| language | English |
| last_indexed | 2024-04-09T17:09:05Z |
| publishDate | 2023-01-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | Journal of the European Optical Society-Rapid Publications |
| spelling | doaj.art-c95b22e58d9847c58855a358b5fccdb72023-04-20T08:26:30ZengEDP SciencesJournal of the European Optical Society-Rapid Publications1990-25732023-01-011911410.1051/jeos/2023010jeos20220038Sorting microplastics from other materials in water samples by ultra-high-definition imagingPeiponen Kai-Erik0Kanyathare Boniphace1Hrovat Blaž2Papamatthaiakis Nikolaos3Hattuniemi Joni4Asamoah Benjamin5Haapala Antti6Koistinen Arto7Roussey Matthieu8Department of Physics and Mathematics, Center for Photonics Sciences, University of Eastern FinlandDepartment of Physics and Mathematics, Center for Photonics Sciences, University of Eastern FinlandDepartment of Technical Physics, University of Eastern FinlandSchool of Forest Sciences, University of Eastern FinlandValmet Automation Inc.Department of Physics and Mathematics, Center for Photonics Sciences, University of Eastern FinlandSchool of Forest Sciences, University of Eastern FinlandDepartment of Technical Physics, University of Eastern FinlandDepartment of Physics and Mathematics, Center for Photonics Sciences, University of Eastern FinlandIn 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.https://jeos.edpsciences.org/articles/jeos/full_html/2023/01/jeos20220038/jeos20220038.htmlmicroplasticslight scatteringimage analysis |
| spellingShingle | Peiponen Kai-Erik Kanyathare Boniphace Hrovat Blaž Papamatthaiakis Nikolaos Hattuniemi Joni Asamoah Benjamin Haapala Antti Koistinen Arto Roussey Matthieu Sorting microplastics from other materials in water samples by ultra-high-definition imaging Journal of the European Optical Society-Rapid Publications microplastics light scattering image analysis |
| title | Sorting microplastics from other materials in water samples by ultra-high-definition imaging |
| title_full | Sorting microplastics from other materials in water samples by ultra-high-definition imaging |
| title_fullStr | Sorting microplastics from other materials in water samples by ultra-high-definition imaging |
| title_full_unstemmed | Sorting microplastics from other materials in water samples by ultra-high-definition imaging |
| title_short | Sorting microplastics from other materials in water samples by ultra-high-definition imaging |
| title_sort | sorting microplastics from other materials in water samples by ultra high definition imaging |
| topic | microplastics light scattering image analysis |
| url | https://jeos.edpsciences.org/articles/jeos/full_html/2023/01/jeos20220038/jeos20220038.html |
| work_keys_str_mv | AT peiponenkaierik sortingmicroplasticsfromothermaterialsinwatersamplesbyultrahighdefinitionimaging AT kanyathareboniphace sortingmicroplasticsfromothermaterialsinwatersamplesbyultrahighdefinitionimaging AT hrovatblaz sortingmicroplasticsfromothermaterialsinwatersamplesbyultrahighdefinitionimaging AT papamatthaiakisnikolaos sortingmicroplasticsfromothermaterialsinwatersamplesbyultrahighdefinitionimaging AT hattuniemijoni sortingmicroplasticsfromothermaterialsinwatersamplesbyultrahighdefinitionimaging AT asamoahbenjamin sortingmicroplasticsfromothermaterialsinwatersamplesbyultrahighdefinitionimaging AT haapalaantti sortingmicroplasticsfromothermaterialsinwatersamplesbyultrahighdefinitionimaging AT koistinenarto sortingmicroplasticsfromothermaterialsinwatersamplesbyultrahighdefinitionimaging AT rousseymatthieu sortingmicroplasticsfromothermaterialsinwatersamplesbyultrahighdefinitionimaging |