HR-MAS NMR Allied to Chemometric on Hancornia speciosa Varieties Differentiation

This work describes the potential of chemometric analyses applied to 1H high-resolution magic angle spinning nuclear magnetic resonance (1H HR-MAS NMR) data for the chemotaxonomic investigation of Hancornia speciosa (Apocynaceae) varieties. This plant, popularly known as mangaba, has a complex morphological differentiation and thus chemical analyses can be used for their taxonomic classification. In comparison to traditional techniques, 1H HR-MAS NMR allied with chemometrics provided a simple and low cost method for chemotaxonomy. Leaves of four varieties of H. speciosa from a common garden experiment was studied and demonstrated that H. speciosa var. speciosa differs from others due to its specific metabolic profile, and var. pubescens was discriminated based on its high phenolic compound content. The distinction between the latter variety and gardineri is important once it allows for the selection of samples with greater commercial value, once they produce the largest and heaviest fruits.

本研究探讨了将化学计量学分析（chemometric analyses）应用于氢谱高分辨魔角旋转核磁共振（1H HR-MAS NMR）数据，用于香脉果（Hancornia speciosa，夹竹桃科Apocynaceae）变种的化学分类学（chemotaxonomy）研究的潜力。该植物俗称曼加巴果，其形态分化较为复杂，因此可借助化学分析完成分类鉴定。相较于传统技术，结合化学计量学分析的1H HR-MAS NMR技术可为化学分类学研究提供一种简便且低成本的研究方案。本研究对来自同质园试验的4个香脉果变种的叶片样本展开分析，结果表明：香脉果原变种（H. speciosa var. speciosa）凭借其独特的代谢谱（metabolic profile）与其他变种形成显著差异；而柔毛变种（var. pubescens）则因其高含量的酚类化合物（phenolic compound）得以区分。区分柔毛变种与gardineri变种具有重要意义，因其可结出最大且最重的果实，借此可筛选出商业价值更高的样本。