01837naa a2200253 a 450000100080000000500110000800800410001902400510006010000190011124501090013026000090023952010330024865000120128165000100129365300260130365300200132965300090134965300350135870000220139370000250141570000200144070000260146077300970148620957002019-01-03       2018    bl uuuu     u00u1 u    #d7 ahttps://doi.org/10.1016/j.saa.2018.05.0252DOI1 aBRAZ, C. E. M.  aPotential of near-infrared spectroscopy for quality evaluation of cattle leather.h[electronic resource]  c2018  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.  aLeather  aCouro  aClassification models  aLeather quality  aNIRS  aPhysical-mechanical parameters1 aJACINTO, M. A. C.1 aPEREIRA FILHO, E. R.1 aSOUZA, G. B. de1 aNOGUEIRA, A. R. de A.  tSpectrochimica Acta Part A: Molecular and Biomolecular Spectroscopygv.202, p.182-186, 2018.