Cheung Yiu-Ming, Zhou Qun, Guo Bao-Lin, Sun Su-Qin
Department of Computer Science, Hong Kong Baptist University, Hong Kong, China.
Guang Pu Xue Yu Guang Pu Fen Xi. 2009 Jul;29(7):1830-4.
In the present paper, the authors extracted active components of herba epimedii and their important features using Fourier transform infrared spectroscopy (FTIR), correlation coefficient comparison, and multilevel wavelet analysis. The extracted features were then used to classify herba epimedii via radial basis function (RBF) neural network. There were altogether 250 samples of the medicine with various different types, including epimedium brevicornu Maxim., E. sagittatum (Sieb. et Zucc. ) Maxim, E. pubescens Maxim., E. koreanum Nakai and E. wushanense T. S. Ying. An important component of herba epimedii, herba epimedii icariin, has a special peak at 1 259 cm(-1) on the FTIR spectra obtained from the methanol extraction, which is consistent with the result obtained by traditional HPLC qualitative analysis. Therefore, this special peak can be used to determine if herba epimedii contains herba epimedii icariin. Furthermore, large variations in the spectrum caused by low content of icariin, weak absorption peaks and noise were successfully removed by applying correlation coefficient comparison and multilevel wavelet analysis, which significantly increased the quality of classification of RBF neural network. This paper creates a framework of fast identification of herba epimedii icariin in raw herba epimedii by FTIR spectra via wavelet analysis and RBF neural network.
在本文中，作者利用傅里叶变换红外光谱（FTIR）、相关系数比较和多级小波分析提取了淫羊藿的活性成分及其重要特征。然后，将提取的特征用于通过径向基函数（RBF）神经网络对淫羊藿进行分类。该药材共有250个不同类型的样本，包括短茎淫羊藿、箭叶淫羊藿、柔毛淫羊藿、朝鲜淫羊藿和巫山淫羊藿。淫羊藿的一种重要成分淫羊藿苷，在甲醇提取物的FTIR光谱上于1259 cm⁻¹处有一个特殊峰，这与传统高效液相色谱定性分析的结果一致。因此，这个特殊峰可用于确定淫羊藿中是否含有淫羊藿苷。此外，通过应用相关系数比较和多级小波分析，成功消除了因淫羊藿苷含量低、吸收峰弱和噪声导致的光谱大幅变化，这显著提高了RBF神经网络的分类质量。本文通过小波分析和RBF神经网络创建了一个利用FTIR光谱快速鉴定生淫羊藿中淫羊藿苷的框架。
