QQ客服 官方微博 反馈留言

	红外光谱与聚类分析法无损快速鉴别肉苁蓉
	徐荣 ; 孙素琴 ; 刘友刚 ; 于晶 ; 周峰 ; 刘同宁 ; 陈君 ; 陈士林 ; XU Rong ; SUN Su-qin ; LIU You-gang ; YU Jing ; ZHOU Feng ; LIU Tong-ning ; CHEN Jun ; CHEN Shi-lin
	2010-06-10 ; 2010-06-10
关键词	红外光谱法 聚类分析 SIMCA 肉苁蓉 FTIR spectroscopy Classification Soft independent modeling of class analogy(SIMCA) C.deserticola R282.5
其他题名	Rapid and Undamaged Determination of C.deserticola by Fourier-Transform Infrared Spectroscopy and Clustering Analysis
中文摘要	应用傅里叶变换红外光谱(FTIR)法测定了栽培和野生肉苁蓉,以450~2 000 cm-1范围内的吸收峰吸光度为指标,以红外光谱图为对象,应用SMICA聚类分析(Cluster analysis)法对栽培和野生肉苁蓉进行了聚类分析。结果表明,红外光谱结合聚类分析技术可对不同来源的肉苁蓉进行鉴别,识别率和拒绝率达到90%以上,盲样检测的准确率也在95%以上。因此,红外光谱与聚类分析法相结合可以快速、无损识别中药材。; Cistanche deserticola,an endemic species in China,has been one of the gradeⅡ national key conservation rare and endangered plants.The spectra of cultivated and wild C.deserticola samples were determined by Fourier transform infrared(FTIR) spectrometry.Based on the fingerprint infrared spectrum from 450 to 2 000 cm-1,C.deserticola samples were rapidly classfied and closely studied by using the method of clustering analysis.Results showed that although there were tiny differences between the spectra of different origin,including the wild and cultivated C.deserticola samples,these samples could be successfully classified by soft independent modeling of class analogy(SIMCA).Recognition rate and rejection rate of different C.deserticola samples were up to 90%.When testing with the blind sample which the authors picked out from the chosen samples,the accuracy of clustering reaches up to 95%.On the whole,combined with clustering analysis,FTIR provides a effective way to evaluate the origin of the Chinese medicines rapidly and undamagedly.; 国家科技支撑计划项目(2006BAI06A13-05); 国家自然科学基金项目(30772727); 中国医学科学院药用植物研究所中央级公益性科研院所基本科研业务专项(YZ-1-09)资助
语种	中文 ; 中文
内容类型	期刊论文
源URL	[http://hdl.handle.net/123456789/60987]
专题	清华大学
推荐引用方式 GB/T 7714	徐荣,孙素琴,刘友刚,等. 红外光谱与聚类分析法无损快速鉴别肉苁蓉[J],2010, 2010.
APA	徐荣.,孙素琴.,刘友刚.,于晶.,周峰.,...&CHEN Shi-lin.(2010).红外光谱与聚类分析法无损快速鉴别肉苁蓉..
MLA	徐荣,et al."红外光谱与聚类分析法无损快速鉴别肉苁蓉".(2010).

个性服务

查看访问统计

相关权益政策

暂无数据

收藏/分享

除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。