傅里叶变换红外光谱和傅里叶变换拉曼光谱法无损鉴别药材的真伪

Quick and Non-destructive Identification of Traditional Chinese Herbs(rhubarb) by Fourier Transform Infrared Spectroscopy and Fourier Transform Raman Spectroscopy

利用傅里叶变换红外（ＦＴ－ＩＲ）和近红外傅里叶变换拉曼（ＮＩＲ ＦＴ－Ｒａｍａｎ）光谱法对大黄（西宁大黄）与伪品大黄（华北大黄、山大黄、水根大黄）进行了无损快速的鉴别。结果表明：尽管正品大黄与伪品大黄差别较小，有大部分的化学成分有很大的相同之处，但在红外、拉曼谱图中各自的特征峰较突出，根据谱峰的强度和位置可容易地将它们区别开来。红外和拉曼光谱法相互印证，相互补充，具有快速、准确、操作简单、重复性好、不需对样品进行分离提取，可直接鉴别等特点。

Four species of rhubarb from different growing areas are directly discriminated by means of Fourier transform infrared (FT-IR) and Fr-Raman spectroscopy. The tiny, delicate varied chemical components of different raw Chinese herbs lead to different characters in vibration frequency of IR and Raman functional groups. It is found that the vibration frequency variance follows a certain specific regularity. Both two methods are relatively more precise and quicker. And it will not damage samples. It is proved that FI-IR and FT-Raman are useful in the identification of traditional Chinese herbs.