Staff Publications

Staff Publications

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    'Staff publications' is the digital repository of Wageningen University & Research

    'Staff publications' contains references to publications authored by Wageningen University staff from 1976 onward.

    Publications authored by the staff of the Research Institutes are available from 1995 onwards.

    Full text documents are added when available. The database is updated daily and currently holds about 240,000 items, of which 72,000 in open access.

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Record number 422909
Title Chemical Identification Strategies Using Liquid Chromatography-Photodiode Array-Solid-Phase Extraction-Nuclear Magnetic Resonance/Mass Spectroscopy.
Author(s) Moco, S.I.A.; Vervoort, J.J.M.
Source In: Plant Metabolomics: Methods and Protocols / Hardy, N.W., Hall, R.D., - p. 287 - 316.
DOI http://dx.doi.org/10.1007/978-1-61779-594-7_17
Department(s) Biochemistry
VLAG
Publication type Peer reviewed book chapter
Publication year 2012
Abstract The identification of metabolites in biochemical studies is a major bottleneck in the proliferating field of metabolomics. In particular in plant metabolomics, given the diversity and abundance of endogenous secondary metabolites in plants, the identification of these is not only challenging but also essential to understanding their biological role in the plant, and their value to quality and nutritional attributes as food crops. With the new generation of analytical technologies, in which liquid chromatography (LC)-mass spectrometry (MS) and nuclear magnetic resonance (NMR) play a pioneering role, profiling metabolites in complex extracts is feasible at high throughput. However, the identification of key metabolites remains a limitation given the analytical effort necessary for traditional structural elucidation strategies. The hyphenation of LC-solid phase extraction (SPE)-NMR is a powerful analytical platform for isolating and concentrating metabolites for unequivocal identification by NMR measurements. The combination with LC-MS is a relatively straightforward approach to obtaining all necessary information for structural elucidation. Using this set-up, we could, as an example, readily identify five related glycosylated phenolic acids present in broccoli (Brassica oleracea, group Italica, cv Monaco): 1,2-di-O-E-sinapoyl-ß-gentiobiose, 1-O-E-sinapoyl-2-O-E-feruloyl-ß-gentiobiose, 1,2-di-O-E-feruloyl-ß-gentiobiose, 1,2,2'-tri-O-E-sinapoyl-ß-gentiobiose, and 1,2'-di-O-E-sinapoyl-2-O-E-feruloyl-ß-gentiobiose.
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