World Journal of Analytical Chemistry
ISSN (Print): 2333-1178 ISSN (Online): 2333-1283 Website: http://www.sciepub.com/journal/wjac Editor-in-chief: Raluca-Ioana Stefan-van Staden
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World Journal of Analytical Chemistry. 2013, 1(4), 69-72
DOI: 10.12691/wjac-1-4-5
Open AccessArticle

Untargetted Metabolomics in Assessment of Variations among Kenyan Arabica Coffee Genotypes Using Organic Compounds in the Brew

Cecilia Kathurima1, and Fredrick Ng’ang’a1

1Coffee Research Foundation Ruiru-Kenya

Pub. Date: November 27, 2013

Cite this paper:
Cecilia Kathurima and Fredrick Ng’ang’a. Untargetted Metabolomics in Assessment of Variations among Kenyan Arabica Coffee Genotypes Using Organic Compounds in the Brew. World Journal of Analytical Chemistry. 2013; 1(4):69-72. doi: 10.12691/wjac-1-4-5

Abstract

Genotypical variations between two commercial coffee cultivars considered as controls (Ruiru 11 and SL28) and five other genotypes under investigation (Cr8, Cr22, Cr23, Cr27 and Cr30) all grown under similar conditions were evaluated. Organic compounds were extracted using C18 Solid Phase Extraction (SPE) cartridges and analyzed by Gas Chromatography- Mass Spectrometry. Untargeted metabolomics data processing of the mass spectra was carried out on XCMS online (a web based platform). The analysis revealed absence of any significant variation in composition of the organic compounds at p = 0.05. However, from the Principal Component Analysis plots the genotypes Cr27, Cr22 and Cr23 clustered close together with Ruiru 11 while the other genotypes showed no distinct clustering pattern. Overall, there was no significant variation in the organic compounds composition across the coffee genotypes grown under similar agronomic practices in the same region and processed uniformly.

Keywords:
untargeted metabolomics XCMS online organic compounds genotypes coffee

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