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Research Article · Free to read · Published 31 January 2010

Metabolic Fingerprinting of Three Malaysian Ginger (Zingiber officinale Roscoe) Using Gas Chromatography-Mass Spectromertry

H.J. Mahdi, R. Andayani & Ishak

American Journal of Applied Sciences, Volume 7, Issue 1, pp. 17–23 · doi.org/10.3844/ajassp.2010.17.23

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Abstract

Problem statement: There is a chemical variation among different ginger cultivars detected by previous studies including the volatile and non-volatile oleo-resins. In this study we try to determine whether these variations are related to a genetic factor rather than environmental or intrinsic factors. Approach: A comprehensive metabolic fingerprinting from the leaves of three micro-propagated ginger cultivars Bukit Tinggi, Tanjung Sepat and Sabah was performed using a Gas Chromatography-Mass Spectrometry (GC-MS). Constituents of the ginger leaves were first extracted and then fractionated into methanolic and chloroform. The samples were subsequently methoximated and silylated prior to GC-MS analysis. Results: By applying this technique, we detected more than 300 compounds (polar and non-polar) in total originated from each ginger cultivar. Based on the GC-MS fragmentation, three different classes of metabolites were detected from the ginger cultivars, namely amino acids, carbohydrates and organic acids. A qualitative variation on the type of ginger metabolites was observed, albeit no marked different found in the level of the metabolites. Conclusion: Apparently the chemical variations among the three ginger cultivars were due to genetic effects since almost all other environmental and intrinsic factors were eliminated.

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Mahdi, H., Andayani, R. & Ishak, (2010). Metabolic Fingerprinting of Three Malaysian Ginger (Zingiber officinale Roscoe) Using Gas Chromatography-Mass Spectromertry. American Journal of Applied Sciences, 7(1), 17–23. https://doi.org/10.3844/ajassp.2010.17.23

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Metabolic Fingerprinting of Three Malaysian Ginger (Zingiber officinale Roscoe) Using Gas Chromatography-Mass SpectromertryAmerican Journal of Applied Sciences · Volume 7, Issue 1 · pp. 17–23 · © Science PublicationsDownload