1. Key Laboratory for Terrain-Machine Bionics Engineering, Ministry of Education, Jilin University, Changchun 130022, China 2. Jilin Teachers’ Institute of Engineering and Technology, Changchun 130052, China 3. Key Laboratory for Supramolecular Structure and Material of Ministry of Education, Changchun 130012, China 4. Department of Chemistry, Baicheng Normal College, Baicheng 137000, China
Abstract:Regarding raw drugs of the different habitat and the different cultivation condition, its treatment efficacy is different. This is because they contain different chemical composition and different ingredients content proportion, which causes the difference in their infrared spectra. But these differences are extremely slight, and purely differentiating their characteristics from the infrared spectra is extremely difficult. In the present paper, the samples of epimedium brevicornu from different fields of Jilin province were surveyed by Fourier transform infrared (IR) spectra, and the corresponding pretreatment to the spectra data was carried out. Before establishing model through the artificial neural networks, in order to enhance the training speed of the ANN, the spectra variables were compressed through the wavelet transformation, and the parameters of the ANN model were also discussed in detail. The model can distinguish the producing area of the 42 samples of epimedium brevicornum correctly, avoiding the separation and drawing of raw drugs with traditional spectroscopy analysis at the same time, thus offer an effectively and reliable basis for the quality controls and modernized management of Chinese medicine.
[1] YE Xiao-lei,LIU Hui-juan(叶晓镭,刘惠娟). Journal of Nanjing University of Traditional Chinese Medicine(南京中医药大学学报), 2004, 20(6): 367. [2] Clancy P. Am. Lab., 1998, 20: 176. [3] LIU Ming-jie, WANG Zhao(刘明杰, 王 钊). Chinese Journal of Pharmaceutical Analysis(药物分析杂志), 2001, 21(5): 373. [4] WU Jin-guang(吴瑾光主编). Technology and Application of Modern Fourier Transformation Infrared Spectrum(近代傅里叶变换红外光谱技术及应用). Beijing:Literature Press of Science and Technology(北京: 科学技术文献出版社), 1994. 210. [5] Woo Young-ah, Kin Hyo-jin, Ancho Junghw. Pharnaceutical and Biomedical Analysis, 1999, 21: 61. [6] WANG Zhao, SUN Su-qin, LI Xiao-bo(王 钊, 孙素琴, 李晓波). Spectroscopy and Spectral Analysis(光谱学与光谱分析), 2001, 21(3): 311. [7] WU Yong-jun, LI Wei(吴拥军, 李 伟). The Technology and Application Papers of Fourier Infrared Spectroscopy(傅里叶红外光谱仪技术及应用论文集). Wuhan: The Company of the Brucker Spectrum Instrument(武汉: 布鲁克光谱仪器公司), 2000. 15. [8] JIANG Da-cheng, ZHANG Jie(姜大成,张 洁). Chinese Traditional and Herbal Drug(中草药),1999,30(2):137. [9] WANG Zhao(王 钊). Journal of Beijing University of Traditional Chinese Medicine(北京中医药大学学报), 2002, 25: 34. [10] WANG Wen-cheng(王文成). The Artificial Neural Networks and Its Application in the Auto Engineering(神经网络及其在汽车工程中的应用). Beijing: Beijing Institute of Technology Press(北京:北京理工大学出版社), 1992. 16. [11] Feisi Technical Product Research and Development Center(飞思科技产品研发中心编). The Theory of the Artificial Neural Networks and Its Realizations in MATLAB 7(神经网络理论与MATLAB 7实现). Beijing: Publishing House of Electronics Industry(北京:电子工业出版社), 2005. 315. [12] Feisi Technical Product Research and Development Center(飞思科技产品研发中心编). The Theory of Wavelet Transform and Its Realizations in MATLAB 7(小波分析理论与MATLAB 7实现). Beijing: Publishing House of Electronics Industry(北京:电子工业出版社), 2005. 114. [13] TIAN Gao-you, YUAN Hong-fu, LIU Hui-ying(田高友, 袁洪福, 刘慧颖). Journal of Instrumental Analysis(分析测试学报), 2005, 24(1): 17. [14] WEN Ming, JI Hai-yan(闻 明, 吉海彦). Modern Electronics Technique(现代电子技术), 2003, 24: 47. [15] TANG Yan-feng, ZHANG Zhuo-yong, FAN Guo-qiang, et al(汤彦丰, 张卓勇, 范国强,等). Spectroscopy and Spectral Analysis(光谱学与光谱分析), 2005, 25(5): 715. [16] ZHAN Da-qi, SUN Su-qin, ZHOU Qun, et al(詹达琦, 孙素琴, 周 群,等). Spectroscopy and Spectral Analysis(光谱学与光谱分析), 2004, 24(12): 1549. [17] JIN Xiang-jun, LI Xiao-ping, LIU Zhi-qiang, et al(金向军,李晓萍,刘志强,等). Spectroscopy and Spectral Analysis(光谱学与光谱分析), 2006, 26(4): 614.