食品科学 ›› 2010, Vol. 31 ›› Issue (4): 132-134.doi: 10.7506/spkx1002-6300-201004030

• 分析检测 • 上一篇    下一篇

基于电子鼻技术分析早薹对前胡气味的影响

韩邦兴1,2,陈乃富2,*,周晓坤1,王 盛1   

  1. 1.江苏大学药学院 2.植物细胞工程安徽省工程技术研究中心
  • 收稿日期:2009-04-07 修回日期:2009-09-29 出版日期:2010-02-15 发布日期:2010-12-29
  • 通讯作者: 韩邦兴 E-mail:hanbx1978@sina.com
  • 基金资助:

    1. School of Pharmacy, Jiangsu Unviersity, Zhenjiang 212013, China;
    2. Engineering Technology Research Center of Plant Cell Engineering of Anhui Province, Lu an 237012, China

Electronic Nose for Odor Analysis of Radix Peucedani with Different Growth Time

HAN Bang-xing1,2,CHEN Nai-fu2,*,ZHOU Xiao-kun1,WANG Sheng1   

  1. 1. School of Pharmacy, Jiangsu Unviersity, Zhenjiang 212013, China;
    2. Engineering Technology Research Center of Plant Cell Engineering of Anhui Province, Lu an 237012, China
  • Received:2009-04-07 Revised:2009-09-29 Online:2010-02-15 Published:2010-12-29
  • Contact: HAN Bang-xing E-mail:hanbx1978@sina.com

摘要:

为研究开花前后两种前胡样品的气味指纹变化,探讨电子鼻应用于中药质量评价的可能性。采用电子鼻检测开花前后两种前胡样品气味在传感器上的响应值,采用主成分分析法(PCA)、判别因子分析法(DFA)进行分析,建立气味指纹图,并进行统计质量控制分析(SQC)。结果表明,电子鼻对开花前后两种前胡样品气味变化反应灵敏,可以完全区分,可以应用于中药气味鉴别研究。

关键词: 电子鼻, 前胡, 气味, 指纹, 质量评价

Abstract:

Electronic nose was used for the detection of odor fingerprint change of Radix Peucedani before and after blossom  and the applicability of electronic nose in the quality evaluation of traditional Chinese medicinal herbs was discussed. Response values of electronic nose for detecting odor of preblossom and postblossom Radix Peucedani were subjected to principal component analysis and discriminant factor analysis (DFA) to establish characteristic fingerprints. In addition, statistical quality control analysis (SQC) was conducted. Results showed that electronic nose could make a sensitive response to odor change of Radix Peucedani before and after blossom for distinguishing preblossom and postblossom Radix Peucedani. Consequently, this technique can be applied to the odor identification of traditional Chinese medicinal herbs.

Key words: electronic nose, Radix Peucedani, odor, fingerprint, quality evaluation

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