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基于金属氧化物传感器阵列电子鼻技术的不同采收期金樱子气味分析
引用本文:蔡泳,王盛,黄孙娟,方丽燕,阮伟峰. 基于金属氧化物传感器阵列电子鼻技术的不同采收期金樱子气味分析[J]. 中华中医药杂志, 2011, 0(6): 1433-1435
作者姓名:蔡泳  王盛  黄孙娟  方丽燕  阮伟峰
作者单位:浙江省嘉兴市中医院药剂科;
摘    要:目的:研究不同采收期中药金樱子气味指纹变化。方法:通过电子鼻检测不同采收期金樱子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(DFA)进行分析,并进行统计质量控制分析(SQC)。结果:不同采收期金樱子样品经PCA和DFA分析后聚为两类,即1-6号样品聚为一类,7-10号样品聚为一类。结论:电子鼻结合PCA和DFA分析技术,气味可作为中药质量控制的指标。

关 键 词:电子鼻  金樱子  采收期  质量

Odor analysis odor of Rosa laevigata of different harvest time based on metal oxide sensors array electronic nose
CAI Yong,WANG Sheng,HUANG Sun-juan,FANG Li-yan,RUAN Wei-feng. Odor analysis odor of Rosa laevigata of different harvest time based on metal oxide sensors array electronic nose[J]. China Journal of Traditional Chinese Medicine and Pharmacy, 2011, 0(6): 1433-1435
Authors:CAI Yong  WANG Sheng  HUANG Sun-juan  FANG Li-yan  RUAN Wei-feng
Affiliation:CAI Yong,WANG Sheng,HUANG Sun-juan,FANG Li-yan,RUAN Wei-feng(Department of Pharmacy,Traditional Chinese Medical Hospital of Jiaxing City,Jiaxing 314001,China)
Abstract:Objective: To determine the odor differences between Rosa laevigata samples of different harvest time.Methods: Evaporability composition of Rosa laevigata was sampled from headspace of emanating,and then response values was obtained.Principal component analysis(PCA) and discriminant factor analysis(DFA) are used to combine the optimum feature parameters,and statistical quality control analysis(SQC).Results: Rosa laevigata Samples of different harvest time clustered into 2 groups with PCA and DFA.Conclusion:...
Keywords:Electronic nose  Rosa laevigata  Harvest time  Quality  
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