| |
|
|
 | Acesso ao texto completo restrito à biblioteca da Embrapa Pecuária Sudeste. Para informações adicionais entre em contato com cppse.biblioteca@embrapa.br. |
|
Registro Completo |
|
Biblioteca(s): |
Embrapa Pecuária Sudeste. |
|
Data corrente: |
14/09/2018 |
|
Data da última atualização: |
03/01/2019 |
|
Tipo da produção científica: |
Artigo em Periódico Indexado |
|
Autoria: |
BRAZ, C. E. M.; JACINTO, M. A. C.; PEREIRA FILHO, E. R.; SOUZA, G. B. de; NOGUEIRA, A. R. de A. |
|
Afiliação: |
Carlos Eduardo M. Braz, UFSCar; MANUEL ANTONIO CHAGAS JACINTO, CPPSE; Edenir R. Pereira Filho, UFSCar; GILBERTO BATISTA DE SOUZA, CPPSE; ANA RITA DE ARAUJO NOGUEIRA, CPPSE. |
|
Título: |
Potential of near-infrared spectroscopy for quality evaluation of cattle leather. |
|
Ano de publicação: |
2018 |
|
Fonte/Imprenta: |
Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy, v.202, p.182-186, 2018. |
|
DOI: |
https://doi.org/10.1016/j.saa.2018.05.025 |
|
Idioma: |
Inglês |
|
Conteúdo: |
Models using near-infrared spectroscopy (NIRS) were constructed based on physical-mechanical tests to determine the quality of cattle leather. The following official parameters were used, considering the industry requirements: tensile strength (TS), percentage elongation (%E), tear strength (TT), and double hole tear strength (DHS). Classification models were constructed with the use of k-nearest neighbor (kNN), soft independent modeling of class analogy (SIMCA), and partial least squares?discriminant analysis (PLS-DA). The evaluated figures of merit, accuracy, sensitivity, and specificity presented results between 85% and 93%, and the false alarmrates from9% to 14%. The model with lowest validation percentage (92%) was kNN, and the highest was PLS-DA (100%). For TS, lower values were obtained, from 52% for kNN and 74% for SIMCA. The other parameters %E, TT, and DHS presented hit rates between 87 and 100%. The abilities of the models were similar, showing they can be used to predict the quality of cattle leather. |
|
Palavras-Chave: |
Classification models; Leather quality; NIRS; Physical-mechanical parameters. |
|
Thesagro: |
Couro. |
|
Thesaurus Nal: |
Leather. |
|
Categoria do assunto: |
X Pesquisa, Tecnologia e Engenharia |
|
Marc: |
LEADER 01837naa a2200253 a 4500
001 2095700
005 2019-01-03
008 2018 bl uuuu u00u1 u #d
024 7 $ahttps://doi.org/10.1016/j.saa.2018.05.025$2DOI
100 1 $aBRAZ, C. E. M.
245 $aPotential of near-infrared spectroscopy for quality evaluation of cattle leather.$h[electronic resource]
260 $c2018
520 $aModels using near-infrared spectroscopy (NIRS) were constructed based on physical-mechanical tests to determine the quality of cattle leather. The following official parameters were used, considering the industry requirements: tensile strength (TS), percentage elongation (%E), tear strength (TT), and double hole tear strength (DHS). Classification models were constructed with the use of k-nearest neighbor (kNN), soft independent modeling of class analogy (SIMCA), and partial least squares?discriminant analysis (PLS-DA). The evaluated figures of merit, accuracy, sensitivity, and specificity presented results between 85% and 93%, and the false alarmrates from9% to 14%. The model with lowest validation percentage (92%) was kNN, and the highest was PLS-DA (100%). For TS, lower values were obtained, from 52% for kNN and 74% for SIMCA. The other parameters %E, TT, and DHS presented hit rates between 87 and 100%. The abilities of the models were similar, showing they can be used to predict the quality of cattle leather.
650 $aLeather
650 $aCouro
653 $aClassification models
653 $aLeather quality
653 $aNIRS
653 $aPhysical-mechanical parameters
700 1 $aJACINTO, M. A. C.
700 1 $aPEREIRA FILHO, E. R.
700 1 $aSOUZA, G. B. de
700 1 $aNOGUEIRA, A. R. de A.
773 $tSpectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy$gv.202, p.182-186, 2018.
Download
Esconder MarcMostrar Marc Completo |
|
Registro original: |
Embrapa Pecuária Sudeste (CPPSE) |
|
|
Biblioteca |
ID |
Origem |
Tipo/Formato |
Classificação |
Cutter |
Registro |
Volume |
Status |
URL |
Voltar
|
|
|
| Registros recuperados : 1 | |
| 1. |  | BAYMA, A. P.; AMARAL, A.; BARBOSA, B.; OLIVEIRA, C. M. S.; MIRANDA, C. H. B.; PERINA, D. do P.; AMORIM, E.; FERNANDEZ, E. P.; TAVARES, F. E.; SALEME, F.; PEREIRA, F. D. E. S.; BREJÃO, G.; FERREIRA, G. C.; DESTRO, G. F. G.; MARQUES, H. P.; MOURA, I. O. de; SIQUEIRA, I. M.; MELO, J. S.; VILLARDI, J. W. R.; CÔRTES, L. G.; FAVARO, L. C. de L.; LOPES, L. C. M.; LOHMANN, L. G.; CREMA, L.; SMITH, M.; SILVA, M. da; CHAME, M.; MUCHAGATA, M.; VERDI, M.; SORANNA, M.; ANDREOZZI, M.; SATO, M.; SILVEIRA, M.; CORRÊA, M. M.; LEITE, N.; MELO, P. H. A. de; GERHARD, P.; FORZZA, R. C.; SABAINI, R. M.; BRANDÃO, R.; SANTOS, R. A. dos; CLEMENTE, R.; BARBIERI, R. L.; FAVARO, S. P.; LAQUE, T.; COUTINHO, T.; CARVALHO, V. Biodiversidade. In: IBAMA. Relatório de qualidade do meio ambiente: RQMA: Brasil 2020. Brasília, DF, 2022. cap. 4, p. 232-301. ODS 2, ODS 3, ODS 9, ODS 12, ODS 14, ODS 15, ODS 17.| Tipo: Capítulo em Livro Técnico-Científico |
| Biblioteca(s): Embrapa Agroenergia; Embrapa Clima Temperado; Embrapa Meio Ambiente. |
|    |
| Registros recuperados : 1 | |
|
| Nenhum registro encontrado para a expressão de busca informada. |
|
|
