Anlisis del contenido en minerales en nabizas y grelos (Brassica rapa L. var. rapa) mediante reflectancia en el infrarrojo cercano

Abstract

The objective of this study was to evaluate the potential and accuracy of near-infrared reflectance spectroscopy (NIRS) for predicting the mineral content in lyophilized samples of turnip greens and turnip tops (Brassica rapa L. var. rapa). Mathematical treatments of the spectra and modified partial least squares regression (MPLS) were used for developing calibrations equations (n = 298). An independent set of samples (n = 69) was used to evaluate and validate the performance of the calibrations equations. The coefficients of determination obtained in the external validation (r2 ev) and error of prediction (SEP) for the different minerals were K = 0.86 (SEP = 4,90), Ca = 0.91 (SEP = 1,66), P = 0.73 (SEP = 0,86), Mg = 0.85 (SEP = 0,32), Na = 0.87 (SEP = 0,21), Fe = 0.90 (SEP = 60,48), Zn = 0.80 (SEP = 5,83), Mn = 0.81 (SEP = 5,72) and Cu = 0.62 (SEP = 1,13).The calibration equations obtained for Ca and Fe showed the highest predictive ability These results support the idea that NIRS technology is suitable for the fast, non-destructive, and accurate prediction of mineral content in turnip greens and turnip tops.