Evaluation of Frying Oil Quality Using VIS/NIR Hyperspectral Analysis

Abstract

Traditional chemical methods of analyzing frying oil quality are time-consuming and not amenable to on-line measurements. The main objective of this study was to evaluate quality changes of heated based on visible/near infrared spectral analysis using a hyper-spectroradiometer. The reflectance spectra of the heated oils were analyzed within a range of 400 to 1750 nm. Acid value, total polar component, and viscosity of oil samples were used as indicators of different quality levels of oil. Partial Least Squares calibration models were developed for quantitative evaluations of these parameters. The R2 and Root Mean Square Error (RMSE) for each prediction were calculated to assess the prediction capability of calibration models. The study demonstrated that using the established calibration models, quality parameters could be predicted with R2 values over 0.92.