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基于电子鼻技术多花黄精药材的鉴别研究
引用本文:方文韬,赵丽蓉,张虹,罗汉,孙慧娟,方成武,刘守金,李雷. 基于电子鼻技术多花黄精药材的鉴别研究[J]. 现代农业科技, 2019, 0(22)
作者姓名:方文韬  赵丽蓉  张虹  罗汉  孙慧娟  方成武  刘守金  李雷
作者单位:;1.安徽中医药大学;2.安徽省中医院科学院中药资源保护与开发研究所;3.安徽森沣农业综合开发有限公司
基金项目:国家重点基础研究发展计划(973计划)
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。

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
收稿时间:2019-09-25
修稿时间:2019-09-25

Study on the identification of Polygonati Rhizoma of on Electronic Nose Technology
Fang Chengwu,and. Study on the identification of Polygonati Rhizoma of on Electronic Nose Technology[J]. Modern Agricultural Sciences and Technology, 2019, 0(22)
Authors:Fang Chengwu  and
Affiliation:Anhui University of Chinese Medicine,Anhui,Hefei,,
Abstract:Objective To establish a method for identification of Polygonati Cyrtonemae Rhizoma from different habitats, different processing methods and different growth years based on electronic nose technology. Methods The odor response values of different samples of Polygonati Cyrtonemae Rhizoma on sensors were detected by electronic nose technology. The characteristic data were analyzed by principal component analysis (PCA) and linear discriminant analysis (LDA). Results The response values and odors of Polygonati Cyrtonemae Rhizoma from different habitats, different growth years and different processing methods are different by electronic nose detection. These samples of Polygonati Cyrtonemae Rhizoma could be identified by PCA, LDA and radar analysis. Conclusion It is effective, objective and simple qualitative identification technology that the method of electronic nose detection combined with discriminant model was applied to the identification of Polygonati Cyrtonemae Rhizoma from different habitats, different processing methods and different growth years.
Keywords:Polygonatum cyrtonema Hua   electronic nose   principal component analysis   linear discriminant analysis   Processing of producing areas
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