Container Glass Cullet Analysis and Differentiation by Laser‐Induced Breakdown Spectroscopy

ABSTRACT Silica‐based glasses are the most widespread glass family, being soda‐lime glass containers extensively used in the industry. Even though glass can be infinitely recycled, the glass container manufactured using cullet requires some standards to enable the recycling, such as the glass color and the presence of non‐compatible materials. This study explores the spectroscopic information obtained by laser‐induced breakdown spectroscopy (LIBS) combined with a support vector machine (SVM) with a k ‐fold cross‐validation approach for the differentiation of materials in cullet. Bottles from two distinct beer brands were selected for the glass families amber, green, and flint/clear, along with borosilicate glass and ceramic samples, for classification as non‐compatible materials frequently found in cullet. Using a 10‐fold or 4‐fold cross‐validation and a linear kernel, the approach enables the classification to reach an accuracy of 0.9997 or 0.9994, respectively, between the samples, considering bottles/glasses of different brand beers and non‐compatible materials. Considering a dataset where the glasses were grouped by glass color and not by beer brand, the approach reached a mean accuracy of 1 for a 10‐fold or 4‐fold cross‐validation. The remarkable differences in the chemical compositions of the borosilicate glass, ceramic materials, and the presence of specific elements explain the accuracy.

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Publication Details

Journal
Journal of the American Ceramic Society
Published
2026-04-29
DOI
https://doi.org/10.1111/jace.70788
Primary Topic
Laser-induced spectroscopy and plasma
Type
article
Field-Weighted Citation Impact
0.00

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article

Container Glass Cullet Analysis and Differentiation by Laser‐Induced Breakdown Spectroscopy

Douglas José Coutinho, Marcos Paulo Belançon, Gustavo Nicolodelli, Dirceu Lickowski et al.
Journal of the American Ceramic Society
Laser-induced spectroscopy and plasma
article

Container Glass Cullet Analysis and Differentiation by Laser‐Induced Breakdown Spectroscopy

Douglas José Coutinho, Marcos Paulo Belançon, Gustavo Nicolodelli, Dirceu Lickowski, Giancarlo V. Botteselle, Ricardo Schneider
article en

Abstract

ABSTRACT Silica‐based glasses are the most widespread glass family, being soda‐lime glass containers extensively used in the industry. Even though glass can be infinitely recycled, the glass container manufactured using cullet requires some standards to enable the recycling, such as the glass color and the presence of non‐compatible materials. This study explores the spectroscopic information obtained by laser‐induced breakdown spectroscopy (LIBS) combined with a support vector machine (SVM) with a k ‐fold cross‐validation approach for the differentiation of materials in cullet. Bottles from two distinct beer brands were selected for the glass families amber, green, and flint/clear, along with borosilicate glass and ceramic samples, for classification as non‐compatible materials frequently found in cullet. Using a 10‐fold or 4‐fold cross‐validation and a linear kernel, the approach enables the classification to reach an accuracy of 0.9997 or 0.9994, respectively, between the samples, considering bottles/glasses of different brand beers and non‐compatible materials. Considering a dataset where the glasses were grouped by glass color and not by beer brand, the approach reached a mean accuracy of 1 for a 10‐fold or 4‐fold cross‐validation. The remarkable differences in the chemical compositions of the borosilicate glass, ceramic materials, and the presence of specific elements explain the accuracy.

Journal of the American Ceramic SocietyVol. 109(5)
Universidade Tecnológica Federal do Paraná (BR), Universidade Estadual do Oeste do Paraná (BR), Universidade Federal de Santa Catarina (BR), Universidade Estadual do Centro-Oeste (BR), Instituto Federal de Educação, Ciência e Tecnologia de Santa Catarina (BR)
Conselho Nacional de Desenvolvimento Científico e Tecnológico
Industry, innovation and infrastructure
Openalex Percentile: Top 11%
Laser-induced spectroscopy and plasma
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