Quantitative And Qualitative Determination Of Acid Value Of Peanut Oil Using Near-infrared Spectrometry

摘要

Acid value (AV) is an important parameter to illustrate the quality as well as degree of refining of peanut oil. A rapid near-infrared reflectance spectroscopy (NIRS) method was applied to determine AV in peanut oils. A partial least squares (PLS) regression model with a coefficient of determination (R~2) of 0.9725 and a square error of cross-validation (SECV) of 0,308 was obtained. The prediction set gave a coefficient of determination (r~2) and standard error of prediction (SEP) of 0.9379 and 0.333. Regarding qualitative evaluation, the classification of qualified peanut oil (with an acid value of less than or equal to 3 mg/g) and unqualified peanut oils (with an acid value of more than 3 mg/g) was conducted by using discriminant partial least squares analysis (DPLS). The results showed that DPLS technique was an effective method of classification model building, with a high correct percent of 96.55%.