基于连续小波变换FTIR鉴定青葙子及鸡冠子的研究  

Identification of Semen Celosiae and Semen Celosiae Cristatae Using Continuous Wavelet Transform with FTIR

作　　者：张长江[1] 李丹婷[2] 梁久祯[1] 程存归[2] 

机构地区：[1]浙江师范大学数理与信息工程学院 [2]浙江师范大学化学与生命科学学院,浙江金华321004

出　　处：《光谱学与光谱分析》2007年第1期50-53,共4页Spectroscopy and Spectral Analysis

基　　金：浙江省自然科学基金项目(301468)资助

摘　　要：借助OMNI采样器,应用傅里叶变换红外光谱方法直接、快速、准确地测定青葙子及其伪品鸡冠子的红外光谱。利用连续小波变换对真伪品的红外光谱进行放大处理,以有效突出真伪品间的红外光谱差异程度,从而提高鉴定正确率。采用对信号奇异性具有良好探测能力的Morlet小波做小波母函数,对青葙子真伪品的红外光谱进行若干尺度的一维连续小波变换,在各个尺度下观察青葙子的真伪品的红外光谱的差异程度,从中选择一个差异程度最为明显的尺度来区分青葙子真伪品。结果表明:基于连续小波变换的傅里叶红外光谱分析方法能够有效鉴别同科同属不同种植物中药材。Infrared spectra of semen celosiae and semen celosiae cristatae were obtained directly, quickly and accurately by Fourier transform infrared spectroscopy （FTIR） with OMNI sampler. Continuous wavelet transform was used to extrude local region of infrared spectra of semen celosiae and its confusable varieties. The difference of infrared spectra between semen celosiae and semen celosiae cristatae was extruded greatly. Accurate identification rate was improved greatly. Morlet wavelet, which can detect singular values of signal effectively, was selected as the mother wavelet. One-dimensional continuous wavelet transform was implemented for the infrared spectra of semen celosiae and its confusable varieties. The difference between semen celosiae and semen celosiae cristatae was observed at all scales in the wavelet domain. An optimal scale, at which the difference between semen celosiae and semen celosiae cristatae was the most obvious, was selected to identify semen celosiae and semen celosiae cristatae. The results show that it is effective to apply continuous wavelet transform on the basis of FTIR to identify the traditional Chinese medicinal materials, which are the same genus but different species.

关 键 词：傅里叶变换红外光谱法 青葙子 鸡冠子 鉴定 连续小波变换 

分 类 号：O653.3[理学—分析化学]