NMR- and GCMS -Based Metabolomics Approach of Morinda citrifolia

Nuur Iszuana Binti Abdul Rahman, Vivien Jong Yi Mian
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引用次数: 2

Abstract

Morinda citrifolia or Noni is known as an important dietary supplement, food functional ingredient, or as natural health enhancer that is used throughout the world. Different parts of the plant have been proven to carry compounds that have high medicinal values such as terpenoids, alkaloids and anthraquinones. The stem bark of Morinda citrifolia collected from different types of soil were studied. It aimed to investigate the influence of different geographical factor on its metabolite profile by multivariate statistical analyses of spectral data deduced by NMR methods. A metabolomic approach employing concatenated GCMS and NMR data was utilized to study the relationships between environment and plant metabolism. Morinda citrifolia stem barks were pulverized into fine powder. They were extracted using chloroform and were taken to dryness in a rotary evaporator under reduced pressure. The Morinda citrifolia crudes were proceeded for Nuclear Magnetic Resonance (NMR) analysis. Visual inspection on the 1H-NMR Morinda citrifolia spectra showed that the different geographical areas have similar profile, but they have different concentration of various constituents. Major constituents identified were aromatics (δH 7.25-7.50), sugars and glycosides (δH 2.25-5.0), fatty acids/aliphatics (δH 0.5-2.0) and aldehydic compound (δH 9.75). However, since the difference among the geographical areas were not clear from visual analysis, the analysis was proceeded using multivariate analysis, Principal Component Analysis (PCA) model. Thus, further analysis was done to examine the consistency of geographical area for each batch of Morinda citrifolia. This is to identify which type of soil is suitable as class model.
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基于NMR和GCMS的桑叶代谢组学研究
Morinda citrifolia或Noni被认为是一种重要的膳食补充剂,食品功能成分,或作为天然健康增强剂在世界各地使用。该植物的不同部分已被证明含有具有高药用价值的化合物,如萜类化合物、生物碱和蒽醌。对不同土壤类型采集的桑葚茎皮进行了研究。通过对核磁共振光谱数据的多元统计分析,探讨不同地理因素对其代谢谱的影响。利用串联GCMS和NMR数据的代谢组学方法研究了环境与植物代谢之间的关系。将桑叶茎皮粉碎成细粉。它们是用氯仿提取的,并在减压的旋转蒸发器中干燥。采用核磁共振(NMR)方法对桑葚胚进行分析。对桑叶的1H-NMR光谱进行目测,发现不同地理区域的桑叶具有相似的剖面,但各成分的浓度不同。主要成分为芳香化合物(δH 7.25 ~ 7.50)、糖和糖苷(δH 2.25 ~ 5.0)、脂肪酸/脂肪化合物(δH 0.5 ~ 2.0)和醛类化合物(δH 9.75)。然而,由于地理区域之间的差异从视觉上看并不明显,因此使用多变量分析,即主成分分析(PCA)模型进行分析。因此,进一步的分析,以检查地理区域的一致性,为每批桑叶。这是为了确定哪种类型的土壤适合作为类模型。
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