부산대학교 도서관

The potentiality of a Waveguide Vector Spectrometer combined with multivariate data analysis was explored in order to set up predictive models of the main quality parameters of vinegar samples. Gain and phase spectra were acquired from 1.6 to 2.7 GHz and were used to build Partial Least Squares regression models. Segmented cross validations evidenced good accuracies for all the explored qualitative parameters with coefficient of determination values up to 0.997 (dry matter content).