Publication detail

Classification of diverse plastic samples by LIBS and Raman data fusion

HOLUB, D. PALÁSTI, D. FINTOR, K. POŘÍZKA, P. GALBÁCS, G. KAISER, J.

Original Title

Classification of diverse plastic samples by LIBS and Raman data fusion

Type

journal article in Web of Science

Language

English

Original 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.

Keywords

Laser-Induced Breakdown Spectroscopy, Raman spectroscopy, polymers, data fusion, data analysis, chemometric techniques, classification

Authors

HOLUB, D.; PALÁSTI, D.; FINTOR, K.; POŘÍZKA, P.; GALBÁCS, G.; KAISER, J.

Released

15. 4. 2024

Publisher

Elsevier

Location

Amsterdam, Nizozemsko

ISBN

0142-9418

Periodical

POLYMER TESTING

Year of study

134

Number

5

State

United Kingdom of Great Britain and Northern Ireland

Pages count

17

URL

https://www.sciencedirect.com/science/article/pii/S0142941824000916

Full text in the Digital Library

http://hdl.handle.net/11012/245510

BibTex

@article{BUT188559,
  author="Daniel {Holub} and Dávid Jenő {Palásti} and Krisztian {Fintor} and Pavel {Pořízka} and Gábor {Galbács} and Jozef {Kaiser}",
  title="Classification of diverse plastic samples by LIBS and Raman data fusion",
  journal="POLYMER TESTING",
  year="2024",
  volume="134",
  number="5",
  pages="17",
  doi="10.1016/j.polymertesting.2024.108414",
  issn="0142-9418",
  url="https://www.sciencedirect.com/science/article/pii/S0142941824000916"
}