| 基于双指标分析法和聚类分析法的鸡骨草红外指纹图谱比较研究 |
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| 引用本文： | 孔德鑫,黄庶识,黄荣韶,陈秀丽,王一兵,陈植成. 基于双指标分析法和聚类分析法的鸡骨草红外指纹图谱比较研究[J]. 光谱学与光谱分析, 2010, 30(1). DOI: 10.3964/j.issn.1000-0593(2010)01-0045-05 |
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| 作者姓名： | 孔德鑫 黄庶识 黄荣韶 陈秀丽 王一兵 陈植成 |
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| 作者单位： | 广西大学农学院,广两南宁530005;广西科学院生物物理实验室,广西南宁530003;广西科学院生物物理实验室,广西南宁,530003;广西大学农学院,广两南宁,530005;广西科学院生物物理实验室,广西南宁530003;广西师范大学物理与电子工程学院,广西桂林541004 |
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| 基金项目： | 国家自然科学基金项目(30860010);;广西自然科学基金项目(0640011);;广西大型仪器协作共用网项目资助 |
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| 摘 要： | 利用双指标分析法和系统聚类分析法,鉴别了不同年限不同产地鸡骨草的红外指纹图谱。结果显示,(1)应用双指标分析法时,只做13点平滑就可以将6种鸡骨草样品完全分开,可以在六维空间中考察不同中药样品之间的相互关系,并可用数量将这些关系精确地表示出来;应用系统聚类分析时只做13点平滑的初始数据聚类效果较差,但13点平滑后再做一阶导数处理,聚类效果很明显,6类鸡骨草样品可以完全分开。(2)应用双指标分析法,在样本量大时,共有峰率变异峰率统计较麻烦,但精确度较高;聚类分析法,精确度相对较低,但是运作比较方便。(3)运用以上两种方法均表明,同一产地栽培鸡骨草化学成分较相似,同一产地不同年限栽培鸡骨草化学成分差异较大。
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| 关 键 词： | 鸡骨草 红外光谱 双指标法 聚类分析 共有峰率 变异峰率 序列分析 |
Comparative Study on the Infrared Fingerprint of Abrus Cantoniensis Based on the Methods of Sequential Analysis of Dual-Indexes and Cluster Analysis |
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| KONG De-xin,HUANG Shu-shi,HUANG Rong-shao,CHEN Xiu-li,WANG Yi-bing,CHEN Zhi-cheng. Comparative Study on the Infrared Fingerprint of Abrus Cantoniensis Based on the Methods of Sequential Analysis of Dual-Indexes and Cluster Analysis[J]. Spectroscopy and Spectral Analysis, 2010, 30(1). DOI: 10.3964/j.issn.1000-0593(2010)01-0045-05 |
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| Authors: | KONG De-xin HUANG Shu-shi HUANG Rong-shao CHEN Xiu-li WANG Yi-bing CHEN Zhi-cheng |
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| Affiliation: | 1;2;1*;2;3;2;3 |
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| Abstract: | The methods of sequential analysis of dual-indexes and cluster analysis were utilized to investigate the infrared fingerprints of A.cantoniensis planted in different years and different places in Guangxi,China.The results showed that 6 samples were able to be completely separated only through 13 point smoothing,when the dual-indexes analysis was applied in the present research,and the accurate relationship between these samples could be inspected and expressed by quantitative relationships under 6-dimension... |
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| Keywords: | A.cantoniensis Infrared spectrum Dual-indexes Clustering analysis Common peak ratio Variation peak ratio Sequential analysis |
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