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| Identification of oil-tea camellia seed oil and olive oil by ion mobility spectrometry combined with differentiation index |
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| DOI： |
| KeyWord:ion mobility spectrometry oil-tea camellia seed oil olive oil differentiation index |
| FundProject:“十二五”科技部支撑计划（2011BAD02B00） |
| Author Name | Affiliation | | CHEN Ke1, QIN Shicong1, XU Xiang2,HE Dongping3 | 1.Hubei Grain and Oil Inspection Institute, Wuhan 430000, China
2.Wuhan Syscan Technology Co., Ltd., Wuhan
430040, China
3.College of Food Science and Engineering, Wuhan Polytechnic University, Wuhan 430023, China |
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| Abstract: |
| In order to rapidly and accurately distinguish oil-tea camellia seed oil and olive oil, 94 oil-tea camellia seed oil samples and 88 olive oil samples collected were detected by IMS according to standard operating procedures. Firstly，the IMS spectra were intuitively analyzed.Then, the first order derivative was taken to extract the characteristic points of each of the two types of vegetable oil spectral data, and the characteristic interval area map was obtained. Finally, the indentification software of oil-tea camellia seed oil and olive oil was formed through differentiation index model. The results showed that the two types of vegetable oils were obviously different, but difficult to quantify by intuitive analysis. There was still some overlap between the two types of vegetable oils after first order derivative. The differentiation index model was adopted to train and identify the two types of vegetable oil spectrogram data, and the blind samples were tested, and the correct identification rate of the two types of vegetable oils reached 100%. In conclusion, the established model has good prediction effect and high accuracy, and can be used to distinguish oil-tea camellia seed oil and olive oil. |
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