Guangxi Institute of Botany, Guangxi Zhuangzu Autonomous Region and Chinese Academy of Science, 541006 Guilin, China.
J Nat Med. 2012 Jan;66(1):70-6. doi: 10.1007/s11418-011-0555-5. Epub 2011 Jun 30.
A novel, efficient, and accurate fingerprinting method using high performance liquid chromatography-photodiode array detection has been developed and optimized for the investigation and demonstration of the variance in chemical properties among Siraitia grosvenorii fruits from different origins. The effects of growth stages, cultivated varieties, collection locations, and fruit portions of the herb on chromatographic fingerprints were examined. Eleven compounds were identified on chromatograms by comparing the retention time and UV spectrum of each peak separately with those of external references. The results revealed that chromatographic fingerprints, combining similarity or hierarchical clustering analysis along with reference compounds, could efficiently identify and distinguish S. grosvenorii fruits from different sources, which provided helpful clues for studying the plants' secondary metabolites and benefitted quality control.
建立了一种新颖、高效、准确的利用高效液相色谱-光电二极管阵列检测的指纹图谱分析方法，并对其进行了优化，用于研究和证明不同来源的绞股蓝果实化学成分的差异。考察了该草药的生长阶段、栽培品种、采集地点和果实部位对色谱指纹图谱的影响。通过分别比较每个峰的保留时间和紫外光谱与外部对照品的保留时间和紫外光谱，在图谱上鉴定出 11 种化合物。结果表明，结合相似度或层次聚类分析以及对照品的色谱指纹图谱，可以有效地识别和区分不同来源的绞股蓝果实，为研究植物的次生代谢产物提供了有价值的线索，并有利于质量控制。
