Discrimination of the Geographical Origin of Sclerocarya birrea by 1HNMR and LC-MS Based Metabolite ProfilingKwena MC1*, Jacquees V1,2 and Gerhard P1
- *Corresponding Author:
- Kwena MC
Department of Agriculture and Animal Health
University of South Africa, Florida
1710, South Africa
Tel: +27833651714, +27114713022
E-mail: [email protected]
Received date: April 19, 2017; Accepted date: April 26, 2017; Published date: April 28, 2017
Citation: Kwena MC, Jacquees V, Gerhard P (2017) Discrimination of the Geographical Origin of Sclerocarya birrea by 1HNMR and LC-MS Based Metabolite Profiling. Metabolomics (Los Angel) 7:192. doi: 10.4172/2153-0769.1000192
Copyright: © 2017 Kwena MC, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Sclerocarya birrea (S. birrea) is an African tree used traditionally to treat various human ailments. The origin of S. birrea can be determined by its biochemical composition. This study identifies the biochemical composition of S. birrea leaf extracts from 5 provinces within South Africa namely Limpopo, KwaZulu-Natal, North-West, Gauteng and Mpumalanga by both 1H Nuclear Magnetic Resonance (NMR) and Liquid Chromatography Mass Spectroscopy (LCMS), followed by multivariate data analysis. The Orthogonal Partial Least Squares Discriminant Analysis (OPLS-DA) and Partial Least Squares Discriminant Analysis (PLS-DA) from 1HNMR and LC-MS respectively, clearly discriminated between extracts from five provinces. Putatively annotated metabolites including kaempferol, quercetin, gallic acid, sucrose and glutamate contributed to discriminating the geographical origin of S. birrea extracts. These results established biochemical profiles of S. birrea extracts and indicate that the two techniques; NMR and LC-MS can be used in the discrimination of the geographical origin of S. birrea.