| 应用电子鼻判别西湖龙井茶香气品质 |
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| 引用本文： | 史波林,赵 镭,支瑞聪,席兴军,朱大洲.应用电子鼻判别西湖龙井茶香气品质[J].农业工程学报,2011,27(14):302-306. |
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| 作者姓名： | 史波林 赵 镭 支瑞聪 席兴军 朱大洲 |
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| 作者单位： | 1．中国标准化研究院食品与农业标准化研究所，北京 100088;1．中国标准化研究院食品与农业标准化研究所，北京 100088;1．中国标准化研究院食品与农业标准化研究所，北京 100088;1．中国标准化研究院食品与农业标准化研究所，北京 100088;2．国家农业智能装备工程技术研究中心，北京 100097 |
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| 基金项目： | 国家高技术研究发展计划（863计划）资助项目（2011AA1008047）；中国博士后科学基金资助项目（20080440614） |
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| 摘 要： | 根据电子鼻工作原理与西湖龙井茶香气特征，探索利用电子鼻判别西湖龙井茶等级的方法。该研究提出顶空瓶内茶水直接混合的香气制备法，增强电子鼻响应信号、减少人为冲泡误差；合理选择电子鼻顶空进样及信号采集参数，提高香气指纹图谱信噪比；采用不同等级茶样循环交叉排列采集，增加传感器的适应性，剔除仪器系统误差；经校正集与预测集的样本划分，提高模型建立的可靠判别样本集。利用软独立建模分类法（SIMCA）建立不同等级西湖龙井茶判别模型，等级分类正确率高达95%以上，实现了西湖龙井茶的智能分等分级。
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| 关 键 词： | 农产品，主成分分析，分类，电子鼻，西湖龙井茶，香气品质，顶空 |
| 收稿时间： | 5/8/2011 12:00:00 AM |
| 修稿时间： | 9/5/2011 12:00:00 AM |
Aroma quality discrimination of Xihu-Longjing tea by electronic nose |
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| Shi Bolin,Zhao Lei,Zhi Ruicong,Xi Xingjun and Zhu Dazhou.Aroma quality discrimination of Xihu-Longjing tea by electronic nose[J].Transactions of the Chinese Society of Agricultural Engineering,2011,27(14):302-306. |
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| Authors: | Shi Bolin Zhao Lei Zhi Ruicong Xi Xingjun and Zhu Dazhou |
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| Abstract: | According to electronic nose principle and aroma characteristic of Xihu-Longjing tea, the method of different tea grading discrimination based on electronic nose was investigated. The aroma of tea was prepared by mixing the tea and water in headspace vials, which could increase the respond information of electronic nose and decreasing the error of making tea. The parameters of headspace sampling and signal collecting were optimized, and the SNR of aroma fingerprint was improved. Different grading tea samples were measured with cross circulation array, with which to improve the suitability of the sensors of electronic nose and also eliminate the system error. After the samples were divided into calibration and prediction set, the SIMCA algorithm was used to build the classification model of tea grading. The results showed that the estimation accuracy reached to 95% for the model and proved that the intelligential classification method is applicable for Xihu-Longjing tea. |
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| Keywords: | agricultural products principal component analysis classification electronic nose Xihu-Longjing tea aroma quality headspace |
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