Study On Edible Oil Safety Evaluation Based On Gas Chromatograph

Food security is not only related to the health and safety of people’s lives, but also related to the stability of the society and the image of a country.Edible oil as the=major sources of fat in China which is one of six nutrients, its security are increasingly subject to the public attention. Especially in recent years, edible oil security is threatened by illegal cooking oil and inferior oil. Compared with the method of physical and chemical parameters and conductivity measurement, gas chromatography, with=simple, easy to promote, has been widely used in analysis edible oil. Fingerprints of edible oil, in particular fingerprints of fatty acids from edible oil get attention because of its high sensitivity and high accuracy. In this paper, pattern recognition model were established and could distinguish between edible oil and illegal cooking oil based on gas chromatography; fingerprints of fatty acids from peanut oil and cottonseed oil were established, commom peaks of the fingerprints were identified by gas chromatography-mass spectrometry (GC-MS), which can provided a scientific basis on identification peanut oil and cottonseed oil. The main contents are as follows:(1) Study on gutter oils pattern recognition. The Gas chromatography fingerprints of16batches of oil samples, including7batches of edible oil and9batches of illegal cooking oil, was established, in which the RSD of relative peak areas and retention time of12common peaks in precision and repeatability were less than2.6%and6.1%, respectively. Then, illegal cooking oil discrimination model was established, by processing data of12common peaks from16samples in principal component analysis (PAC) and partial least squares discriminant analysis (PLS-DA). The results showed that the method was a pattern recognition for identification edible oil and illegal cooking oil.(2) Study on peanut oil quality evaluation method based on GC-MS. In the optimal chromatographic conditions,8chromatographic peaks of16batches of peanut oil samples were identified as the specific fingerprint by the similarity evaluation software and fingerprints of peanut oil were established. RSD of the relative peak areas and retention time of8common peaks in precision and stability were less than3.1%and5.1%. Meanwhile,8common peaks were identified and relative content of8constituents were determine in normalization method by GC-MS. The fingerprints of peanut oil provides technical reference for the identification and evaluation of the quality of peanut oil.(3) Study on cottonseed oil quality evaluation method based on GC-MS. In the optimal chromatographic conditions,6chromatographic peaks of20batches of cottonseed oil samples were identified as the specific fingerprint by the similarity evaluation software and fingerprints of peanut oil were established. RSD of the relative peak areas and retention time of6common peaks in precision and stability were less than5.6%and4.9%. Meanwhile,6common peaks were identified and relative content of6constituents were determine in normalization method by GC-MS. The fingerprints of cottonseed oil provides technical reference for the identification and evaluation of the quality of cottonseed oil.