Cheng Cun-gui, Sun Cui-rong, Pan Yuan-jiang
College of Chemistry and Life Sciences, Zhejiang Normal University, Jinhua 321004, China.
Guang Pu Xue Yu Guang Pu Fen Xi. 2004 Sep;24(9):1055-9.
In order to establish the theory and method for the identification of Ophiogon japonicus (Thunb.)Ker-Gawl. of traditional Chinese herbal medicines and its confusable varieties, second derivative FTIR spectroscopy was used combined with statistics. Samples were collected directly by Fourier Transform Infrared (FTIR) spectra with OMNI-Sampler. Then through converting FTIR spectra of the samples into second derivative spectra by derivative spectra software, Ophiogon japonicus (Thunb.)Ker-Gawl. could be identified from the confusable varieties with statistics. The result shows that the second derivative FTIR of Ophiogon japonicus (Thunb.)Ker-Gawl. and its confusable varieties are different, which differ greatly in 2 000-650 cm(-1) range in second derivative FTIR spectroscopy. The Ophiogon japonicus (Thunb.)Ker-Gawl. and its confusable varieties can be identified by identifying the inner layer parts of the cuticles of samples by second derivative FTIR spectroscopy with statistics directly, rapidly and accurately.
为建立中药材麦冬及其易混淆品种的鉴别理论与方法,采用二阶导数傅里叶变换红外光谱(FTIR)结合统计学方法。使用OMNI采样器通过傅里叶变换红外光谱(FTIR)直接采集样品。然后通过导数光谱软件将样品的FTIR光谱转换为二阶导数光谱,利用统计学方法可从易混淆品种中鉴别出麦冬。结果表明,麦冬及其易混淆品种的二阶导数FTIR不同,在二阶导数FTIR光谱的2000 - 650 cm(-1)范围内差异较大。通过二阶导数FTIR光谱结合统计学方法直接、快速、准确地鉴别样品角质层的内层部分,可区分麦冬及其易混淆品种。