Minimum Spanning Tree-Based Clustering for Chemical Evaluation of Commercial Nail Polish Samples Using Spectroanalytical Data

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MetadadosDescriçãoIdioma
Autor(es): dc.contributorUniversidade Estadual Paulista (UNESP)-
Autor(es): dc.contributorNational Institute of Alternative Technologies for Detection Toxicological Assessment and Removal of Micropollutants and Radioactive Substances (INCT-DATREM)-
Autor(es): dc.contributorUniversidade Federal de São Carlos (UFSCar)-
Autor(es): dc.creatorCastello, Heloisa Froehlick-
Autor(es): dc.creatorSilva, Felipe Lopes Rodrigues-
Autor(es): dc.creatorFerreira, Dennis Silva-
Autor(es): dc.creatorLevada, Alexandre Luis Magalhães-
Autor(es): dc.creatorPereira-Filho, Edenir Rodrigues-
Autor(es): dc.creatorManhas Verbi Pereira, Fabiola-
Data de aceite: dc.date.accessioned2025-08-21T22:26:56Z-
Data de disponibilização: dc.date.available2025-08-21T22:26:56Z-
Data de envio: dc.date.issued2025-04-29-
Data de envio: dc.date.issued2024-09-01-
Fonte completa do material: dc.identifierhttp://dx.doi.org/10.1002/cem.3575-
Fonte completa do material: dc.identifierhttps://hdl.handle.net/11449/298179-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/11449/298179-
Descrição: dc.descriptionThis study discusses potential toxic elements detection in conventional nail polish, including Cr and Pb. The noteworthy results highlight well-established potential risks of elevated Cr and Pb concentrations. These elements are not allowed in the European Union. Implementing the minimum spanning tree (MST) approach and the isolation forest algorithm effectively clustered samples. Forty-five samples were analyzed, and four clusters were identified. Two presented six samples with high concentrations of Fe (Cluster 1 with four samples) and Cr and Pb (Cluster 2 with two samples). The other 39 samples presented low concentrations of the determined elements (Co, Cr, Cu, Fe, Ni, and Pb). Cadmium, Zn, and Mn were not detected in any of the analyzed samples. Furthermore, integrating energy-dispersive x-ray fluorescence (ED-XRF) and laser-induced breakdown spectroscopy (LIBS) enabled fast direct analysis of nail polish samples, streamlining a swift and reliable data acquisition process. This research underscores the importance of ongoing vigilance and monitoring of potential health hazards associated with nail polish formulations, especially in regions with regulatory restrictions on certain elements.-
Descrição: dc.descriptionConselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)-
Descrição: dc.descriptionCoordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)-
Descrição: dc.descriptionGroup of Alternative Analytical Approaches (GAAA) Bioenergy Research Institute (IPBEN) Institute of Chemistry São Paulo State University (UNESP), São Paulo State-
Descrição: dc.descriptionDepartment of Analytical Chemistry Physical Chemistry and Inorganic National Institute of Alternative Technologies for Detection Toxicological Assessment and Removal of Micropollutants and Radioactive Substances (INCT-DATREM), São Paulo State-
Descrição: dc.descriptionGroup of Applied Instrumental Analysis Chemistry Department Federal University of São Carlos, São Paulo State-
Descrição: dc.descriptionComputing Department Federal University of São Carlos, São Paulo State-
Descrição: dc.descriptionGroup of Alternative Analytical Approaches (GAAA) Bioenergy Research Institute (IPBEN) Institute of Chemistry São Paulo State University (UNESP), São Paulo State-
Descrição: dc.descriptionCNPq: 124833/2023-3-
Descrição: dc.descriptionCNPq: 140867/2021-0-
Descrição: dc.descriptionCNPq: 302085/2022-0-
Descrição: dc.descriptionCNPq: 302719/2020-2-
Descrição: dc.descriptionCNPq: 465571/2014-0-
Descrição: dc.descriptionCAPES: 88887136426/2017/00-
Descrição: dc.descriptionCAPES: Finance Code 001-
Idioma: dc.languageen-
Relação: dc.relationJournal of Chemometrics-
???dc.source???: dc.sourceScopus-
Palavras-chave: dc.subjectchemometrics-
Palavras-chave: dc.subjectcluster-
Palavras-chave: dc.subjectED-XRF-
Palavras-chave: dc.subjecthealth-
Palavras-chave: dc.subjectLIBS-
Palavras-chave: dc.subjecttoxic elements-
Título: dc.titleMinimum Spanning Tree-Based Clustering for Chemical Evaluation of Commercial Nail Polish Samples Using Spectroanalytical Data-
Tipo de arquivo: dc.typelivro digital-
Aparece nas coleções:Repositório Institucional - Unesp

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