Data/hora: 10/06/2024 03:40:03

Biblioteca(s): | Embrapa Pecuária Sudeste.
Data corrente: | 14/09/2018
Data da última atualização: | 03/01/2019
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
Registro original: | Embrapa Pecuária Sudeste (CPPSE)
Exemplares: | CPPSE - (24486-1) - UPC - AP - DD - PROCI-2018.00085 - BRA - 2018.00093 - DIS