Discrimination of Refined Hogwash Oils from Edible Vegetable Oils by FT-MIR Spectroscopy

doi:10.7506/spkx1002-6630-201406025

Abstract

Abstract:

In this study, Fourier transform-infrared spectroscopy (FT-MIR）was applied to rapidly distinguish refined
hogwash oils (RHOs) from four different edible vegetable oils, rapeseed oil, soybean oil, peanut oil and corn oil. A
multivariate statistical procedure based on cluster analysis (CA) coupled to partial least squares-discriminant analysis (PSLDA),
was elaborated, providing an effective classification method. It was shown that there were significant differences
between RHOs and different edible vegetable oils based on FT-MIR spectra after second derivative (Savitzky-Golay,
5 point) transformation in the whole wavelength range (4 000–450 cm–1). The PLS-DA procedure was then applied to
classify twenty-two unknown oil samples with a correction rate of 100%. These results demonstrate that FT-MIR combined with
chemometric analysis can be used as an effective method to discriminate RHOs from these four different edible vegetable oils.

Key words: refined hogwash oils, edible vegetable oils, FT-MIR, PLS-DA, model

CLC Number:

TS201.6

LI Hong1,2, ZHAO Bo1,2, RAN Xiao-hong1, TU Da-wei1,2,*, CHEN Shi-qi1,2. Discrimination of Refined Hogwash Oils from Edible Vegetable Oils by FT-MIR Spectroscopy[J]. FOOD SCIENCE, 2014, 35(6): 121-124.

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