基于傅里叶变换红外光谱法的红花药材质量分析

Quality analysis of safflower based on Fourier transform infrared spectroscopy

中文关键词:  傅里叶变换红外光谱法  红花  聚类分析  质量分析

英文关键词:Fourier transform infrared spectroscopy  safflower  cluster analysis  quality analysis

中文摘要:

      目的 建立傅里叶变换红外光谱法分析评价红花药材质量的分析方法。方法 采用傅立叶变换红外光谱法(Fourier transform infrared spectrometry, FTIR)对采集自新疆不同产地的20批红花药材进行测量, 建立指纹图谱; 运用聚类分析与主成分分析等统计学及化学模式识别技术, 对不同来源的红花药材进行红外光谱数据比较分析。结果 筛选出12个波数段, 形成了红花药材FTIR红外光谱指纹图谱共有模式; 精密度、稳定性和重复性实验结果表明, 共有峰波数的相对标准偏差(relative standard deviation, RSD)分别为0.00%~0.1%、0.00%~4.56%、0.32%~7.5%, 符合指纹图谱的要求; 20批样品相似度均大于95%, 大致可以分为3大类, 区域间差异较为明显。结论 本研究建立的方法简单、易行、快速, 不污染、样品耗量低, 为不同来源红花药材的鉴定、内在质量评价与质量控制提供了依据、奠定了基础。

英文摘要:

      Objective To establish a method for evaluating the quality of safflower by Fourier transform infrared spectroscopy (FTIR). Methods A total of 20 batches of safflower collected from different areas of Xinjiang were measured by FTIR and fingerprint was established. The infrared spectra of safflower from different sources were compared and analyzed by statistics and chemical pattern recognition techniques such as cluster analysis and principal component analysis. Results A total of 12 kinds of wave number segments were selected to form a common pattern of FTIR infrared fingerprint of safflower. The experimental results of precision, stability and repeatability showed that the RSDs of common peak wave numbers were 0.00%?0.1%, 0.00%?4.56% and 0.32%?7.5%, respectively, which met the requirements of fingerprint. The similarity of 20 batches samples was over 95%, and they could be roughly divided into 3 kinds of categories, with obvious regional differences. Conclusion The established method is simple, feasible, rapid, non-polluting and non-destructive, which provides basis and foundation for the identification, internal quality evaluation and quality control of safflower from different sources.