Variation in Ceratonia siliqua pod metabolome in context of its different geographical origin, ripening stage and roasting process

•Effect of geographical origin, ontogenic changes and processing on C. siliqua pod metabolome was assessed.•A comparative GC-MS and UHPLC-MS platforms coupled to multivariate data analysis was employed.•Disaccharides amounted as major forms in ripe fruits and further declined upon roasting.•Variatio...

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Veröffentlicht in:Food chemistry 2019-06, Vol.283, p.675-687
Hauptverfasser: Farag, Mohamed A., El-Kersh, Dina M., Ehrlich, Anja, Choucry, Mouchira A., El-Seedi, Hesham, Frolov, Andrej, Wessjohann, Ludger A.
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Sprache:eng
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Zusammenfassung:•Effect of geographical origin, ontogenic changes and processing on C. siliqua pod metabolome was assessed.•A comparative GC-MS and UHPLC-MS platforms coupled to multivariate data analysis was employed.•Disaccharides amounted as major forms in ripe fruits and further declined upon roasting.•Variation in tannins and flavonoid levels was observed among accessions.•UHPLC-MS based PCA model was more powerful in pods classification based on fruits ripening and roasting. Carob is a legume tree of a considerable commercial importance for the flavor and sweet industry. In this context, it is cultivated mostly for its pods, which are known for their nutritive value and multiple health benefits. However, metabolite patterns, underlying these properties are still mostly uncharacterized. In this study, the role of geographical origin, ontogenetic changes and thermal processing on the Ceratonia siliqua pod metabolome was assessed by mass spectrometry (MS)-based metabolomics. Thereby, a total of 70 fruits primary metabolites, represented mainly by carbohydrates, organic and amino acids were detected. Analysis of secondary bioactive metabolites assessed by ultra-high-performance liquid chromatography-electrospray ionization high resolution mass spectrometry (UHPLC-ESI-HR-MS) revealed in total 83 signals. The major signals, most significantly contributing in discrimination of C. siliqua specimens were assigned to tannins and flavonoids. PCA models derived from either UHPLC-MS or GC-MS proved to be powerful tools for discrimination of C. siliqua specimens.
ISSN:0308-8146
1873-7072
1873-7072
DOI:10.1016/j.foodchem.2018.12.118