Abstract

A simple, reliable high-performance thin-layer chromatography (HPTLC) method was developed for chemical fingerprinting of Zingiber zerumbet and quantitative estimation of zerumbone. Thirty-six batches of Z. zerumbet were collected from five eco-regions of eastern India. Zerumbone content varied from 52.4 to 214.6 mg/g (dry weight) in methanolic extract of Z. zerumbet rhizomes. Zerumbone content was in the following order: moist deciduous forests of the lower Gangetic plains > Brahmaputra valley evergreen forest > Odisha semi-evergreen forests > Sundarbans freshwater swamp forests > moist deciduous forest of the eastern highlands. Relative Standard Deviation (RSD) of the relative peak areas (RPA) and relative retention times (RRT) of eight characteristic peaks in repeatability and stability test were <3%, and the fingerprinting method was confirmed to be suitable for Z. zerumbet rhizomes. Chemometric approaches like hierarchical cluster analysis (HCA) and principal component analysis (PCA) were employed to classify Z. zerumbet samples based upon their eco-region. Consistent results were achieved showing Z. zerumbet samples could be effectively grouped according to their eco-region. The PCA loading plots identified three probable chemical markers, which might be useful in discriminating the samples. This combinative approach could be used for quality assessment of Z. zerumbet and for the formulations containing zerumbone.

摘要

开发了一种简单，可靠的高性能薄层色谱法（HPTLC），用于姜黄的化学指纹图谱和定量估计蛇骨。从印度东部的五个生态区域收集了36批Z. zerumbet。球姜酮含量的甲醇提取物从52.4变化到214.6毫克/克（干重）Z.山姜根茎。Zerumbone的含量按以下顺序排列：恒河下游平原的落叶落叶林> Brahmaputra谷常绿森林> Odisha半常绿森林> Sundarbans淡水沼泽森林>东部高地的落叶落叶林。在重复性和稳定性测试中，八个特征峰的相对峰面积（RPA）的相对标准偏差（RSD）和相对保留时间（RRT）小于3％，并且指纹图谱被证实适用于Z. zerumbet根茎。采用化学计量学方法，例如层次聚类分析（HCA）和主成分分析（PCA），根据其生态区对Z. zerumbet样品进行分类。取得一致的结果，显示Z. zerumbet可以根据样本的生态区域对样本进行有效分组。PCA加载图确定了三个可能的化学标记，这可能有助于区分样品。这种结合的方法可以用于质量评估Z.山姜和用于容纳球姜酮的制剂中。