光谱学与光谱分析 |
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Comparative Study on the Infrared Fingerprint of Abrus Cantoniensis Based on the Methods of Sequential Analysis of Dual-Indexes and Cluster Analysis |
KONG De-xin1, 2, HUANG Shu-shi2, HUANG Rong-shao1*, CHEN Xiu-li2, 3, WANG Yi-bing2, CHEN Zhi-cheng2, 3 |
1.College of Agronomy, Guangxi University, Nanning 530005, China 2.Lab of Biophysics, Guangxi Academy of Sciences, Nanning 530003, China 3.College of Physics and Electronic Engineering, Guangxi Normal University, Guilin 541004, China |
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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-dimensional spaces; however, the effect of cluster was bad only through 13 point smoothing of raw spectra, and it was very difficult to find out the regular sequences while the cluster analysis was applied.Furthermore, the 6 samples were able to be completely separated if raw spectra were dealed with 1st derivative after 13 point smoothing, and the clustering effects were more obvious and 6 samples of A.cantoniensis were completely separated.The above two methods could be used to evaluate the quality of Chinese medicinal materials easily when the sample was not excessive quantitatively, but the method of dual-indexes analysis was more difficult than the clustering analysis if the sample size was too large, since a mass of data such as common peak ratio and variation peak ratio of the IR fingerprint spectra were processed and analyzed statistically, while this method could accurately find out the closest relationship between any samples through comparing the quantitative relationships of common peak ratio and variation peak ratio of each sample under 6-dimensional space; the precision of cluster analysis was less than dual-indexes analysis, but it was more convenient than dual-indexes analysis when large sample data were analysed.Finally the above two methods all showed that the chemical composition of the A.cantoniensis was similar in the same cultivated area, but the difference in chemical composition of A.cantoniensis in different years was distinct even they were in the same place.
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Received: 2009-02-02
Accepted: 2009-05-06
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Corresponding Authors:
HUANG Rong-shao
E-mail: hrshao802@163.com
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[1] GUO Qiao-sheng(郭巧生).Medicinal Plant Cultivation Science(药用植物栽培学).Beijing: Higher Education Press(北京: 高等教育出版社), 2004. [2] HUANG Rong-shao, LUO Yong-ming, HU Yan, et al(黄荣韶, 罗永明, 胡 彦,等).Guangdong Agricultural Science(广东农业科学), 2006, (6): 28. [3] HUANG Rong-shao, YU Yong-xiong, HU Yan, et al(黄荣韶, 玉永雄, 胡 艳, 等).China Journal of Chinese Materia Medica(中国中药杂志), 2006, 31(17): 1428. [4] SHI Hai-ming, HUANG Zhi-qin, WEN Jing, et al(史海明, 黄志勤, 温 晶, 等).Chinese Journal of Pharmaceutical Analysis(药物分析杂志) 2007, 27(11): 1716. [5] HUANG Hao, LI Jing, QIN Zhu, et al(黄 昊, 李 静, 秦 竹, 等).Chinese Journal of Analytical Chemistry(分析化学), 2003, 31(7): 828. [6] LI Xiang-nan, LIU Xiao-ping(李湘南, 刘小平).LI Shizhen Medicine and Materia Research(时珍国医国药), 2007, 18(6): 1469. [7] LIU Hong, HAN Chang-ri, LIU Hong-xia, et al(刘 红, 韩长日, 刘红霞, 等).Spectroscopy and Spectral Analysis(光谱学与光谱分析), 2008, 28(11): 2557. [8] ZOU Hua-bin, YUAN Jiu-rong(邹华彬, 袁久荣).World Science and Tedhnology/Modernization of Traditional Chinese Medicine and Materia Medica(世界科学技术——中医药现代化), 2003, 5(4): 36. [9] ZOU Hua-bin, YUAN Jiu-rong, DU Ai-qin, et al(邹华彬, 袁久荣, 杜爱琴, 等).Chinese Traditional Patent Medicine(中成药), 2004, 26(10): 779. [10] JIA Hong-juan, ZHANG Jun-wen(贾红娟, 张军文).Chinese Bulletin of Botany(植物学通报), 2007, 24(4): 511. [11] YUAN Jiu-rong, ZOU Hua-bin, WANG Ai-wu(袁久荣,邹华彬,王爱武).World Science and Tedhnology/Modernization of Traditional Chinese Medicine and Materia Medica(世界科学技术——中医药现代化), 2004, 6(6): 32.
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