摘要
目的建立气味指纹图谱,探索区分黑顺片产地以及等级的有效方法。方法采用电子鼻技术对20批黑顺片进行检测,获得电子鼻在传感器的响应值,并利用主成分分析(PCA)、判别因子分析(DFA)对响应值进行数据处理。结果经PCA分析,20批黑顺片样品能明显区分开,DFA分析能区分黑顺片产地以及等级。结论采用电子鼻技术建立了黑顺片气味识别方法,该方法可以用于产地和等级的区分,为中药的快速鉴别及气味的客观化提供借鉴。
AIM To establish an odor fingerprint map,and to explore the effective method to distinguish the producing areas and grade of Heishunpian. METHODS Using electronic nose technology to test 20 batches of Heishunpian,then obtain the sponse values from the sensor,and the data was processed through principal component analysis( PCA),discriminant factor analysis( DFA). RESULTS Twenty batches of Heishunpian samples could be obviously distinguished by PCA,DFA also could distinguish the producing areas and grade. CONCLUSION An odor identification method is established using electronic nose technology,and this method can be used for distinguishing the producing areas and grade,thus it provides references for the rapid identification of traditional Chinese medicines.
出处
《中成药》
CAS
CSCD
北大核心
2014年第12期2565-2569,共5页
Chinese Traditional Patent Medicine
基金
国家自然科学基金(81274086)
四川省科技厅支撑计划(2013SZ0140)
四川省中医药管理局课题(2010-12)
关键词
电子鼻
黑顺片
气味
识别方法
鉴别
electronic nose
Heishunpian
odor
identification method
identify