摘要
为了建立基于电子鼻技术对多花黄精不同产地、不同生长年限及不同加工方法的药材的鉴别方法,本文通过电子鼻技术检测多花黄精不同药材样品的气味在传感器上的响应值,应用主成分分析(PCA)和LDA线形判别分析对特征数据进行统计学分析。结果表明,电子鼻检测不同产地、不同生长年限及不同加工方法的多花黄精药材的响应值有差异,气味有差异,PCA、LDA及雷达图分析均能判别。由此表明,电子鼻检测结合判别模式为多花黄精不同产地、不同加工方法和不同生长年限的药材提供了有效、客观和简便的定性鉴别技术。
In order to establish a method for the identification of Polygonatum cyrtonema from different habitats,different growth years and different processing methods based on electronic nose technology,the odor response values of different samples of Polygonatum cyrtonema on sensors were detected by electronic nose technology.The characteristic data were analyzed by principal component analysis(PCA)and linear discriminant analysis(LDA).Results showed that the response values and odors of Polygonatum cyrtonema from different habitats,different growth years and different processing methods were different by electronic nose detection.These samples could be identified by PCA,LDA and radar analysis.In conclusion,it is an effective,objective and simple qualitative identification technology that the method of electronic nose detection combined with discriminant model was applied to the identification of Polygonatum cyrtonema from different habitats,different processing methods and different growth years.
作者
方文韬
赵丽蓉
张虹
罗汉
孙慧娟
方成武
刘守金
李雷
FANG Wen-tao;ZHAO Li-rong;ZHANG Hong;LUO Han;SUN Hui-juan;FANG Cheng-wu;LIU Shou-jin;LI Lei(Anhui University of Chinese Medicine,Hefei Anhui 230012;Institute of Conservation and Development of Traditional Chinese Medicine Resources,Anhui Academy of Traditional Chinese Medicine;Anhui Senfeng Agricultural Comprehensive Development Co.,Ltd.)
出处
《现代农业科技》
2019年第22期41-43,45,共4页
Modern Agricultural Science and Technology
基金
国家重点研发计划(2017YFC1701606)
关键词
多花黄精
电子鼻
主成分分析
线性判别分析
产地加工
Polygonatum cyrtonema Hua
electronic nose
principal component analysis
linear discriminant analysis
processing of producing areas
