HPTLC is a useful and practical analytical tool to characterize plant compositions. This study was focused on exploring the results of high-performance thin-layer chromatography (HPTLC) analysis, particularly as a useful tool for the authentication of Allanblackia parviflora seed and kernel cakes. Bulked samples from sixteen different Ghanaian communities were analysed by HPTLC and their fingerprints were compared. The optimum experimental conditions were established: sample weight of 2.0 g, methanol:water (80:20 v/v) as extraction solvent, 30 min extraction time and twice extraction, ethyl acetate:methanol:water (100:16.5:13.5 v/v) as mobile phase, vanillic acid as derivatisation agent and 7 min of plate heating time after derivatisation. The HPTLC profile generated from extracts across 16 communities and 157 trees was very reproducible and demonstrates the robustness of the technique in characterising the profile.

中文翻译：

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开发HPTLC方法以分析小苍兰（牛油树）仁和种子饼中的植物化学物质

HPTLC是表征植物组成的有用且实用的分析工具。这项研究的重点是探索高效薄层色谱（HPTLC）分析的结果，尤其是作为鉴别小生小苍兰种子和仁饼的有用工具。通过HPTLC分析了来自16个加纳社区的散装样品，并比较了其指纹。确定了最佳实验条件：样品重量为2.0 g，甲醇：水（80:20  v / v）作为萃取溶剂，萃取时间30分钟，萃取两次，乙酸乙酯：甲醇：水（100：16.5：13.5  v / v v）作为流动相，以香草酸为衍生剂，衍生后的平板加热时间为7分钟。从16个社区和157棵树木的提取物中生成的HPTLC谱非常可重现，证明了该技术在表征谱方面的鲁棒性。