Detection of Adulteration in Camellia Oil Using Gas Chromatography-Ion Mobility Spectrometry

Abstract

Abstract: In order to establish a new method for quick detection of camellia oil purity, the adulterated camellia oil samples were analyzed by gas chromatography-ion mobility spectrometry (GC-IMS) combining a multi-way principal component analysis (MPCA) with partial least squares regression (PLS). Three kinds of edible vegetable oils were mixed with different levels and analyzed by GC-IMS, MPCA method was used to reduce dimension by extracting score matrix of three-dimensional matrix and to further principal component analysis, and PLS model for different kinds of adulterated camellia oil purity prediction was established by using score matrix extracted from GC-IMS data set. The experimental results showed that MPCA can distinguish pure camellia oil and different kinds of adulterated camellia oil, and different adulterated ratios had its obvious regions. The scores matrix extracted by MPCA and actual adulteration value were adopted for the quantitative analysis of camellia oil adulteration level by PLS. Therefore, the combination of GC-IMS technology and chemometrics could provide a fast, accurate and non-destructive detection of camellia oil adulteration. This method can be applied to the data analysis of other combined instruments, and has a great potential for practical application in the quality control and evaluation of edible oils.

Key words: adulterated camellia oil, purity, gas chromatography-ion mobility spectrometry(GC-IMS), multi-way principal component analysis (MPCA), partial least squares (PLS)

CLC Number:

Tong CHEN. Detection of Adulteration in Camellia Oil Using Gas Chromatography-Ion Mobility Spectrometry[J]. FOOD SCIENCE, 0, (): 0-0.

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