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| 离子迁移谱法结合鉴别指数鉴别油茶籽油与橄榄油 |
| Identification of oil-tea camellia seed oil and olive oil by ion mobility spectrometry combined with differentiation index |
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| DOI： |
| 中文关键词: 离子迁移谱 油茶籽油 橄榄油 鉴别指数 |
| 英文关键词:ion mobility spectrometry oil-tea camellia seed oil olive oil differentiation index |
| 基金项目:“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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| 中文摘要: |
| 为了快速、准确地鉴别油茶籽油与橄榄油，利用离子迁移谱仪按照油脂检测标准操作规程对收集的94份油茶籽油样本和88份橄榄油样本进行测试，得到离子迁移谱（IMS）图，首先对采集的IMS图进行直观分析，然后采用求一阶导数方式提取两类植物油谱图中数据的各自特征点，得到特征区间面积图，最后通过建立鉴别指数模型形成油茶籽油与橄榄油的识别软件。结果表明：直接对比分析IMS图，两类植物油区别明显，但难以量化；一阶求导后两类植物油谱图数据仍会存在部分重叠的情况；采用鉴别指数模型对两类植物油谱图数据进行训练与识别，对盲样进行测试，两类植物油的识别正确率达到100%。综上，所建立的模型预测效果较好，准确度较高，可用于油茶籽油与橄榄油的鉴别。 |
| 英文摘要: |
| 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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