Multispectral Imaging as a Tool for Identifying Spectral Responses of Different Plastic Materials

Multispectral Imaging (MSI) is presented as an innovative, practical and non-invasive solution for the identification and detection of (micro)plastics. MSI is attractive to industry because of its flexibility, ease of implementation and portability. The integration of MSI with Principal Component Analysis (PCA) allows precise identification of different plastics and differentiation of microplastics within mixtures. The technique successfully identifies and quantifies the pure spectral response (end members) of each microplastic in each pixel of the original image. As a result, the model excels at distinguishing specific plastic materials from their surrounding backgrounds. This novel approach facilitates the identification of randomly dispersed micro plastics in water.

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Publication Details

Published
2024-10-14
DOI
https://doi.org/10.1109/metrosea62823.2024.10765711
Citations
1
Primary Topic
Spectroscopy and Chemometric Analyses
Type
article
Field-Weighted Citation Impact
0.24
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Multispectral Imaging as a Tool for Identifying Spectral Responses of Different Plastic Materials

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article

Multispectral Imaging as a Tool for Identifying Spectral Responses of Different Plastic Materials

C. Sada, G. Piccolo, Simone Marchetti, Giovanni Bragato, S. Marchetto, Rebecca Legnaro
article en
1 citations

Abstract

Multispectral Imaging (MSI) is presented as an innovative, practical and non-invasive solution for the identification and detection of (micro)plastics. MSI is attractive to industry because of its flexibility, ease of implementation and portability. The integration of MSI with Principal Component Analysis (PCA) allows precise identification of different plastics and differentiation of microplastics within mixtures. The technique successfully identifies and quantifies the pure spectral response (end members) of each microplastic in each pixel of the original image. As a result, the model excels at distinguishing specific plastic materials from their surrounding backgrounds. This novel approach facilitates the identification of randomly dispersed micro plastics in water.

University of Padua (IT)
Openalex Percentile: Top 49%
Spectroscopy and Chemometric Analyses
0.24
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