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。
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.
出处
《食品科学》
EI
CAS
CSCD
北大核心
2010年第4期132-134,共3页
Food Science
基金
国家自然科学基金项目(30901972)
安徽省教育厅自然科学基金项目(KJ2008B330)
关键词
电子鼻
前胡
气味
指纹
质量评价
electronic nose
Radix Peucedani
odor
fingerprint
quality evaluation
