Classification of diverse plastic samples by LIBS and Raman data fusion
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Date
2024-04-15
Authors
Holub, Daniel
Palásti, Dávid Jenő
Fintor, Krisztian
Pořízka, Pavel
Galbács, Gábor
Kaiser, Jozef
0000-0002-3697-2747Advisor
Referee
Mark
Journal Title
Journal ISSN
Volume Title
Publisher
Elsevier
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Abstract
The plastic production and usage in the world is steadily increasing. This leads to increased amounts of plastic waste. Most of the waste could be potentially recycled, but only 14 % of plastic waste is recycled. In order to increase the share of recycling in plastic waste management, the recycling process should be completely automated. The problematic part of sorting is being solved by either manual (labor-intensive) or spectroscopy-based (still in development) methods. In this work, we propose the data fusion of Laser-Induced Breakdown Spectroscopy (LIBS) and Raman spectroscopy as a fast, robust, and reliable way to sort/classify any potential polymer material. The sample set of this work consists of several types of polymers in clear, colored, and even mixture versions. So far, no LIBS/Raman classification works involved all these categories in one experiment. Additionally, the low and medium level of data fusion is discussed, and the performance is compared. By using LIBS and Raman data fusion method and both linear and nonlinear chemometric techniques, increased accuracy reaching more than 98 % in the classification of investigated plastic samples was achieved, which was a significant improvement when compared with singular methods classification accuracy.
Description
Citation
POLYMER TESTING. 2024, vol. 134, issue 5, 17 p.
https://www.sciencedirect.com/science/article/pii/S0142941824000916
https://www.sciencedirect.com/science/article/pii/S0142941824000916
Document type
Peer-reviewed
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Published version
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Language of document
en
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Date of acceptance
Defence
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Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
http://creativecommons.org/licenses/by-nc-nd/4.0/
http://creativecommons.org/licenses/by-nc-nd/4.0/