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Registro Completo
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Biblioteca(s): |
Embrapa Pecuária Sudeste. |
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Data corrente: |
22/02/2017 |
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Data da última atualização: |
22/03/2019 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
A - 1 |
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Autoria: |
NEIVA, A. M.; JACINTO, M. A. C.; ALENCAR, M. M. de; ESTEVES, S. N.; PEREIRA FILHO, E. R. |
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Afiliação: |
Ariane Maciel Neiva, UFSCar; MANUEL ANTONIO CHAGAS JACINTO, CPPSE; MAURICIO MELLO DE ALENCAR, CPPSE; SERGIO NOVITA ESTEVES, CPPSE; Edenir Rodrigues Pereira Filho, UFSCAR. |
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Título: |
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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Ano de publicação: |
2016 |
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Fonte/Imprenta: |
RSC Advances, v. 106, n. 6, p. 104827-104838, 2016. |
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DOI: |
10.1039/C6RA22337K |
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Idioma: |
Inglês |
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Conteúdo: |
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. |
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Palavras-Chave: |
LIBS. |
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Thesaurus NAL: |
cattle; sheep. |
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Categoria do assunto: |
L Ciência Animal e Produtos de Origem Animal |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/156397/1/C6RA22337K.pdf
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Marc: |
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008 2016 bl uuuu u00u1 u #d
024 7 $a10.1039/C6RA22337K$2DOI
100 1 $aNEIVA, A. M.
245 $aProposition of classification models for the direct evaluation of the quality of cattle and sheep leathers using laser-induced breakdown spectroscopy (LIBS) analysis.$h[electronic resource]
260 $c2016
520 $aThis 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.
650 $acattle
650 $asheep
653 $aLIBS
700 1 $aJACINTO, M. A. C.
700 1 $aALENCAR, M. M. de
700 1 $aESTEVES, S. N.
700 1 $aPEREIRA FILHO, E. R.
773 $tRSC Advances$gv. 106, n. 6, p. 104827-104838, 2016.
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Registro original: |
Embrapa Pecuária Sudeste (CPPSE) |
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