| 引用本文: | 夏成凯,宋芊芊,方成武.基于电子鼻技术区分不同产地的牡丹皮药材[J].中国现代应用药学,2019,36(21):2633-2637. |
| XIA Chengkai,SONG Qianqian,FANG Chengwu.Distinguish Moutan Cortex from Different Producing Areas Based on Electronic Nose Technology[J].Chin J Mod Appl Pharm(中国现代应用药学),2019,36(21):2633-2637. |
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| 摘要: |
| 目的 应用电子鼻技术区分不同产地的牡丹皮药材。方法 通过单因素及正交试验法确定牡丹皮药材电子鼻测定的最佳试验条件。应用Loading分析法对传感器区分样品的能力进行分析，应用主成分分析法、线性判别分析法来区分不同产地的牡丹皮药材。结果 电子鼻技术测定牡丹皮药材的最佳试验条件为称样量3.0 g，空气流速300 mL·min-1，样品室温放置时间为10 min；研究结果表明，其区分度均>0.980；7号传感器W1W对第一主成分贡献率最大，2号传感器W5S对第二主成分贡献率最大。通过对牡丹皮药材进行气味识别，电子鼻技术对亳州、铜陵、重庆3个主产区的牡丹皮药材有一定的区分能力，亳州产区不同产地之间区分度不明显。结论 利用牡丹皮药材特殊的气味并运用电子鼻对不同产地的牡丹皮药材进行区分，效果显著，为快速、简便的鉴别不同产地的牡丹皮药材提供新思路。 |
| 关键词: 电子鼻 牡丹皮 主成分分析 线性判别分析 Loading分析 |
| DOI：10.13748/j.cnki.issn1007-7693.2019.21.002 |
| 分类号:R284.1 |
| 基金项目:安徽省教育厅自然科学重点项目（KJ2015A388）；国家中医药管理局中药标准化项目（国中医药办科技函2016[154]号）；亳州市创新创业领军人才行动计划（亳组2016[32]号）；安徽省科技重大专项（16030801113）；安徽省农业科技创新资金项目（科农秘2017[344]号） |
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| Distinguish Moutan Cortex from Different Producing Areas Based on Electronic Nose Technology |
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XIA Chengkai1,2, SONG Qianqian3, FANG Chengwu3
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1.Bozhou Institute of Chinese Medicine, Anhui Academy of Chinese Medicine, Bozhou 236800, China;2.Bozhou Vocational and Technical College, Bozhou 236800, China;3.Anhui University of Chinese Medicine, Hefei 230031, China
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| Abstract: |
| OBJECTIVE To distinguish Moutan Cortex from different origins by using electronic nose technology. METHODS The optimal conditions for the electronic nose measurement of Moutan Cortex were determined by single-factor and orthogonal test, and the sensor's ability to distinguish Moutan Cortex samples was analyzed by using the loading analysis method. The results of Moutan Cortex from different origins were analyzed by using principal component analysis and linear discriminant analysis. RESULTS The optimal test parameters for the measurement of Moutan Cortex by using electronic nose were as follows:sample quantity was 3.0 g, air flow rate was 300 mL·min-1, and the sample placement time was 10 min. In addition, the distinction degree were all>0.980. The No. 7 sensor W1W and the No. 2 sensor W5S contributed the most to the first principal component and the second principal component respectively. Through odor recognition, Moutan Cortex from three different main producing areas in Bozhou, Tongling and Chongqing could be distinguished by using electronic nose technology, but the distinction degree between different producing areas in Bozhou was not obvious. CONCLUSION Combined electronic nose technology with odor recognition, Moutan Cortex from different origins could be effectively distinguished, the detection method provides a new idea for the rapid and simple identification of Moutan Cortex from different origins. |
| Key words: electronic nose Moutan Cortex principal component analysis linear discriminant analysis loading analysis |
