Watson D G, Peyfoon E, Zheng L, Lu D, Seidel V, Johnston B, Parkinson J A, Fearnley J
Department of Pharmaceutical Sciences, University of Strathclyde, Glasgow, UK.
Phytochem Anal. 2006 Sep-Oct;17(5):323-31. doi: 10.1002/pca.921.
Propolis is a widely used natural remedy and a range of biological activities have been attributed to it. The chemical composition of propolis is highly variable and its quality is often controlled on the basis of one or two marker compounds. In order to progress towards a method for the quality control of this complex material, HPLC and 1H-NMR approaches as methods of quality control have been compared. HPLC analyses of 43 samples of propolis were carried out and six marker compounds were quantified in each sample. The same samples were analysed using 1H-NMR and the spectra were then converted into their first derivative forms and digitised using the software application MestRe-C. The digitised data were subjected to principal component analysis using the software application Simca-P. It was found that the chemical composition of propolis mapped well according to the geographical origins of the samples studied when the first three principal components were used to display them. In addition, each sample was assessed for anti-oxidant activity, and the results were then overlaid onto the sample groupings according to 1H-NMR data. It was observed that anti-oxidant properties also mapped quite well according to geographical origin.
蜂胶是一种广泛使用的天然药物，人们认为它具有一系列生物活性。蜂胶的化学成分高度可变，其质量通常基于一两种标记化合物来控制。为了开发一种用于这种复杂物质质量控制的方法，已对作为质量控制方法的高效液相色谱（HPLC）和氢核磁共振（¹H-NMR）方法进行了比较。对43个蜂胶样品进行了HPLC分析，并对每个样品中的六种标记化合物进行了定量。使用¹H-NMR对相同的样品进行分析，然后将光谱转换为其一阶导数形式，并使用MestRe-C软件应用程序进行数字化处理。使用Simca-P软件应用程序对数字化数据进行主成分分析。结果发现，当使用前三个主成分来展示时，蜂胶的化学成分根据所研究样品的地理来源得到了很好的映射。此外，对每个样品的抗氧化活性进行了评估，然后将结果根据¹H-NMR数据叠加到样品分组上。据观察，抗氧化特性也根据地理来源得到了较好的映射。
