| 王祖忠，周君，张凌芷，李晔，张春丹，王颖，袁贝，苏秀榕.8种植物油气味指纹模型的建立[J].中国油脂,2017,42(02):.[WANG Zuzhong, ZHOU Jun, ZHANG Lingzhi, LI Ye, ZHANG Chundan,WANG Ying, YUAN Bei, SU Xiurong.Establishment of fingerprint model for vegetable oil by electronic nose[J].China Oils and Fats,2017,42(02):.] |
| 8种植物油气味指纹模型的建立 |
| Establishment of fingerprint model for vegetable oil by electronic nose |
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| DOI： |
| 中文关键词: 植物油 电子鼻 快速鉴别 指纹模型 |
| 英文关键词:vegetable oil electronic nose rapid identification fingerprint model |
| 基金项目: |
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| 中文摘要: |
| 运用电子鼻对8种不同加热温度下的植物油进行检测，建立了8种植物油的气味指纹模型，采用线性判别式(LDA)进行分析，通过判别函数法(DFA)对其进行验证。结果表明:电子鼻能够很好地对不同种类以及不同温度的植物油进行区分；在DFA分析中模型对未知样品的识别值大于96%，能对所测的8种植物油样品进行有效地识别，正确率达到100%。电子鼻建立的植物油的气味指纹模型是可靠的。 |
| 英文摘要: |
| The electronic nose was used to test eight kinds of vegetable oils at different heating temperatures. Odor fingerprint model of eight kinds of vegetable oils was established, using linear discriminant(LDA) for analysis and discriminant function method(DFA) for verification. The results showed that the electronic nose could excellently distinguish different kinds of vegetable oils at different temperatures; the model could identify 96% of unknown samples in DFA and effectively identify eight kinds of vegetable oil samples with an accuracy of 100%. Thus, the odor fingerprint model established by electronic nose was reliable. |
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