Data/hora: 24/05/2024 14:00:16

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