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Research: IBRAHIM,
Listed in Issue 302
Abstract
IBRAHIM, 1 Department of Pharmacognosy, Faculty of Pharmacy, Alexandria University, Alexandria 21521, Egypt. Reham.abdelkader@alexu.edu.eg ; 2 Department of Pharmacognosy, Faculty of Pharmacy, Alexandria University, Alexandria 21521, Egypt used targeted and untargeted-metabolite profiling to track the compositional integrity of ginger.
Background
Tracking the impact of commonly applied post-harvesting and industrial processing practices on the compositional integrity of ginger rhizome was implemented in this work.
Methodology
Untargeted metabolite profiling was performed using digitally-enhanced HPTLC method where the chromatographic fingerprints were extracted using ImageJ software then analysed with multivariate Principal Component Analysis (PCA) for pattern recognition. A targeted approach was applied using a new, validated, simple and fast HPTLC image analysis method for simultaneous quantification of the officially recognized markers 6-, 8-, 10-gingerol and 6-shogaol in conjunction with chemometric Hierarchical Clustering Analysis (HCA).
Results
The results of both targeted and untargeted metabolite profiling revealed that peeling, drying in addition to storage employed during processing have a great influence on ginger chemo-profile, the different forms of processed ginger shouldn't be used interchangeably.
Conclusion
Moreover, it deemed necessary to consider the holistic metabolic profile for comprehensive evaluation of ginger during processing. Copyright © 2018. Published by Elsevier B.V.
References
Reham S Ibrahim 1 , Hoda Fathy 2. Targeted and untargeted-metabolite profiling to track the compositional integrity of ginger during processing using digitally-enhanced HPTLC pattern recognition analysis J Chromatogr B Analyt Technol Biomed Life Sci. Mar 30 2018.;1080:59-63. doi: 10.1016/j.jchromb.2018.02.020. Epub Feb 19 2018.
