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(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

Proposition of classification models for the direct evaluation of the quality of cattle and sheep leathers using laser-induced breakdown spectroscopy (LIBS) analysis

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Author(s):
Neiva, Ariane Maciel ; Chagas Jacinto, Manuel Antonio ; de Alencar, Mauricio Mello ; Esteves, Sergio Novita ; Pereira-Filho, Edenir Rodrigues
Total Authors: 5
Document type: Journal article
Source: RSC ADVANCES; v. 6, n. 106, p. 104827-104838, 2016.
Web of Science Citations: 10
Abstract

This study proposes classification models for the prediction of the quality parameters of cattle and sheep leathers. In total, 375 leather samples were directly analyzed by laser-induced breakdown spectroscopy (LIBS). Exploratory analysis using principal component analysis (PCA) and classification models employing K-nearest neighbor (KNN), soft independent modeling of class analogy (SIMCA), and partial least squares - discriminant analysis (PLS-DA) were the chemometric tools used in the multivariate analysis. The goal was to classify the leather samples according to their quality. The calculated models have satisfactory results with correct prediction percentages ranging from 75.2 (for SIMCA) to 80.5 (for PLS-DA) for the calibration dataset and from 71.6 (for SIMCA) to 80.9 (for KNN) for the validation samples. The proposed method can be used for preliminary leather quality inspection without chemical residues generation. (AU)

FAPESP's process: 15/14488-0 - Analytical method development for quality determination of fertilizers and tanning waste
Grantee:Ana Rita de Araujo Nogueira
Support type: Regular Research Grants