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Amr Abdelwareth

Researcher at American University in Cairo

Publications -  7
Citations -  150

Amr Abdelwareth is an academic researcher from American University in Cairo. The author has contributed to research in topics: Chemistry & Metabolomics. The author has an hindex of 3, co-authored 4 publications receiving 35 citations.

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Chemometrics-based aroma profiling for revealing origin, roasting indices, and brewing method in coffee seeds and its commercial blends in the Middle East.

TL;DR: In this paper, the authors report on the chemical sensory attributes of Middle Eastern coffee blends and further reveal for the impact of brewing, roasting on its aroma composition, including the potential roasting index in instant coffee and roasted C. robusta brews.
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Effect of Gut Microbiota Biotransformation on Dietary Tannins and Human Health Implications.

TL;DR: In this article, the effect of the human microbiota on the metabolism of different tannin groups and the expected health benefits that may be induced by such mutual interactions was summarized. And explainable artificial intelligence was used to define the molecular signatures of gut-biotransformed tANNin metabolites that are correlated with chemical and biological activity.
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Dissecting coffee seeds metabolome in context of genotype, roasting degree, and blending in the Middle East using NMR and GC/MS techniques

TL;DR: In this article, the authors presented a multi-faceted comparative metabolomics approach dissecting commercially available coffee products in the Middle East region for quality assessment and functional food purposes using NMR and GC/MS platforms.
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Metabolomics-Based Approach for Coffee Beverage Improvement in the Context of Processing, Brewing Methods, and Quality Attributes

TL;DR: In this paper , a review summarizes the applications of various mass spectrometry and nuclear magnetic resonance (NMR)-based metabolomics technologies in determining the impact of coffee breeding, origin, roasting, and brewing on coffee chemical composition, and considers this in relation to quality control (QC) determination, for example, by classifying defected and non-defected seeds or detecting the adulteration of raw materials.