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Cereal Chemistry
Article . 2022 . Peer-reviewed
License: CC BY
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https://dx.doi.org/10.5445/ir/...
Article . 2022
License: CC BY
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KITopen
Article . 2022
License: CC BY
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HSQC‐NMR‐based profiling approaches for raffinose family oligosaccharides in pulses

Authors: Lea Fels; Mirko Bunzel;

HSQC‐NMR‐based profiling approaches for raffinose family oligosaccharides in pulses

Abstract

AbstractBackground and ObjectivesDue to insufficient resolution, 1H nuclear magnetic resonance (NMR) spectroscopy‐based methods are limited to quantify carbohydrates. In the past, heteronuclear single quantum coherence (HSQC)‐based methods were demonstrated to be superior as the second dimension greatly improves resolution. However, whether these experiments are also suitable to determine structurally similar oligosaccharides such as raffinose family oligosaccharides (RFO) still needs to be demonstrated.FindingsBy optimizing NMR parameters, well resolved signals for the analysis of glucose, fructose, galactose, sucrose and the RFO raffinose, stachyose, and verbascose were identified. Application of fast HSQC methods in combination with nonuniform sampling enables analyses of sucrose and RFO in pulses (blue lupin seeds, red lentils, kidney beans) within 24 min. If the analytes are present at levels greater than 0.5 g/100 g, HSQC‐based methods provide data equivalent to an anion‐exchange chromatography‐based reference method.ConclusionsHigh resolution fast HSQC‐based approaches are suitable tools to analyze complex carbohydrate mixtures as demonstrated for RFO in different pulses.Significance and NoveltyFast HSQC experiments were applied for the first time to analyze structurally similar oligosaccharides. In the future, this approach will be a most valuable tool to analyze complex mixtures of carbohydrates in food products.

Countries
Germany, Germany
Keywords

Life sciences; biology, info:eu-repo/classification/ddc/570, 570, biology, ddc:570, 540, Life sciences

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
2
Average
Average
Average
Green
hybrid