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Untargeted NMR Spectroscopic Analysis of the Metabolic Variety of New Apple Cultivars

Eisenmann, Philipp 1; Ehlers, Mona; Weinert, Christoph H.; Tzvetkova, Pavleta 1,2; Silber, Mara 1; Rist, Manuela J.; Luy, Burkhard 1,2; Muhle-Goll, Claudia ORCID iD icon 1,2
1 Institut für Organische Chemie (IOC), Karlsruher Institut für Technologie (KIT)
2 Institut für Biologische Grenzflächen (IBG), Karlsruher Institut für Technologie (KIT)

Abstract (englisch):

Metabolome analyses by NMR spectroscopy can be used in quality control by generating unique fingerprints of different species. Hundreds of components and their variation between different samples can be analyzed in a few minutes/hours with high accuracy and low cost of sample preparation. Here, apple peel and pulp extracts of a variety of apple cultivars were studied to assess their suitability to discriminate between the different varieties. The cultivars comprised mainly newly bred varieties or ones that were brought onto the market in recent years. Multivariate analyses of peel and pulp extracts were able to unambiguously identify all cultivars, with peel extracts showing a higher discriminative power. The latter was increased if the highly concentrated sugar metabolites were omitted from the analysis. Whereas sugar concentrations lay within a narrow range, polyphenols, discussed as potential health promoting substances, and acids varied remarkably between the cultivars.

Volltext §
DOI: 10.5445/IR/1000059432
DOI: 10.3390/metabo6030029
Zitationen: 17
Web of Science
Zitationen: 18
Zitationen: 20
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Biologische Grenzflächen (IBG)
Institut für Organische Chemie (IOC)
Publikationstyp Zeitschriftenaufsatz
Publikationsjahr 2016
Sprache Englisch
Identifikator ISSN: 2218-1989
KITopen-ID: 1000059432
HGF-Programm 47.02.04 (POF III, LK 01) Zellpopul.auf Biofunk.Oberflächen IBG-4
Erschienen in Metabolites
Verlag MDPI
Band 6
Heft 3
Seiten 29
Bemerkung zur Veröffentlichung Gefördert durch den KIT-Publikationsfonds
Vorab online veröffentlicht am 19.09.2016
Schlagwörter metabolomics; multivariate analysis; quality control; malus domestica
Nachgewiesen in Dimensions
Web of Science
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