光谱学与光谱分析, 2010, 30 (9): 2368, 网络出版: 2011-01-26
应用红外光谱技术鉴别中药麝香的真伪
Identification of Musk by Fourier Transform Infrared Spectroscopy
麝香 真伪鉴别 傅里叶变换红外光谱法 二阶导数 Musk Identification Fourier transform infrared spectroscopy Secondary derivative
摘要
采用傅里叶变换红外(FTIR)光谱法并结合二阶导数技术, 测定了中药天然麝香及其伪品的红外光谱。 结果表明: 天然麝香的主要特征峰为3 284, 2 923, 2 851, 1 655, 1 546, 1 400, 1 038 cm-1等吸收峰, 分别代表蛋白质、 大环酮类和甾体类等主要成分; 与天然麝香相比, 麝香伪品的红外光谱的吸收的位置和强度有明显差异, 可被容易区分; 天然麝香、 市售麝香及人工麝香的谱图相似性较高, 尤其是人工麝香与天然麝香极其相似, 难以区分; 采用傅里叶二阶导数谱, 提高了谱图分辨率, 可直观有效地鉴别正品麝香。 该方法具有快速、 灵敏、 直观、 无损等特点, 可为名贵药材的来源与真伪鉴别提供了新的手段。
Abstract
Standard nature musk and false nature musk were identified by Fourier transform infrared spectroscopy(FTIR) combined with derivative spectra in the present article. The main characteristic absorption peaks of musk represented the key components such as macrocyclic ketone (2 923, 2 851 cm-1), polypeptides(1 655, 1 546 cm-1) and steroids (1 400, 1 038 cm-1) respectively. Ensuing from the researches artificial musk and natural musk resemble the exemplar of market nature musk. Particularly, the infrared spectra of samples of natural musk and artificial musk are more similar and hard to be distinguished. In virtue of derivative spectra analysis, the resolution of spectra is advanced; several kinds of standard musk have been differentiated directly and effectively. This method was fast, sensitive, direct and nondestructive, and could be used to identify the source of rare materia medica and distinguish the counterfeits of musk successfully.
周健, 金城, 罗云, 武彦文, 李建宇, 罗永明, 肖小河. 应用红外光谱技术鉴别中药麝香的真伪[J]. 光谱学与光谱分析, 2010, 30(9): 2368. ZHOU Jian, JIN Cheng, LUO Yun, WU Yan-wen, LI Jian-yu, LUO Yong-ming, XIAO Xiao-he. Identification of Musk by Fourier Transform Infrared Spectroscopy[J]. Spectroscopy and Spectral Analysis, 2010, 30(9): 2368.