Identification and classification of polymer e-waste using laser-induced breakdown spectroscopy (LISS) and chemometric tools

Autor(es)

Costa, Vinicius Camara ; Batista Aquino, Francisco Wendel ; Paranhos, Caio Marcio ; Pereira-Filho, Edenir Rodrigues

• Tipo de documento: Artigo Científico
• Fonte: Polymer Testing; v. 59, p. 390-395, MAY 2017.
• Citações Web of Science: 22

Resumo

In the recycling of polymer e-waste, there is a pressing need for rapid measurement technologies for the simple identification and classification of these materials. The goal of this work was to instantly identify e-waste polymers by laser-induced breakdown spectrometry (LIBS). The studied polymers were acrylonitrile-butadiene-styrene (ABS), polystyrene (PS), polyethylene (PE), polycarbonate (PC), polypropylene (PP), and polyamide (PA). Emission lines were selected for C (247), H (656), N (742 + 744 + 747), and 0 (777), as well as the molecular band of C2 (516), and the ratios of the emission lines and molecular band were utilized. Classification models, k-nearest neighbors (KNN) and soft independent modeling of class analogy (SIMCA), were used to rank the polymers. Both constructed models gave satisfactory results for the validation samples, with average accuracies of 98% for KNN and 92% for SIMCA. These results prove the predictive analytical capabilities of the LIBS technique for plastic identification and classification. (C) 2017 Elsevier Ltd. All rights reserved. (AU)

• Processo FAPESP: 13/04688-7 - Desenvolvimento de métodos espectroanalíticos para a determinação direta de elementos tóxicos em materiais poliméricos de lixo eletrônico por emissão em plasma induzido por laser (LIBS)
• Beneficiário: Francisco Wendel Batista de Aquino
• Modalidade de apoio: Bolsas no Brasil - Pós-Doutorado