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Quantitative ¹H-NMR Spectroscopy for Profiling Primary Metabolites in Mulberry Leaves.

ABSTRACT: The primary metabolites in aqueous extract of mulberry (Morus alba L.) leaves were characterized by using proton nuclear magnetic resonance (¹H-NMR) spectroscopy. With the convenience of resonance assignment, GABA together with the other 10 primary metabolites was simultaneously identified and quantified in one ¹H-NMR spectrum. In this study, external calibration curves for metabolites were employed to calculate the concentrations of interests. The proposed quantitative approach was demonstrated with good linearity (r² ranged in the interval of 0.9965-0.9999), precision, repeatability, stability (RSD values in the ranges of 0.35-4.89%, 0.77-7.13% and 0.28-2.33%, respectively) and accuracy (recovery rates from 89.2% to 118.5%). The established ¹H-NMR method was then successfully applied to quantify 11 primary metabolites in mulberry leaves from different geographical regions within a rapid analysis time and a simple sample preparation procedure.

SUBMITTER: Liang Q

PROVIDER: S-EPMC6017862 | biostudies-literature | 2018 Mar

REPOSITORIES: biostudies-literature

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Quantitative ¹H-NMR Spectroscopy for Profiling Primary Metabolites in Mulberry Leaves.

Liang Qianqian Q Wang Qiuying Q Wang Yuan Y Wang Ya-Nan YN Hao Jia J Jiang Miaomiao M

Molecules (Basel, Switzerland) 20180302 3

The primary metabolites in aqueous extract of mulberry (<i>Morus alba</i> L.) leaves were characterized by using proton nuclear magnetic resonance (¹H-NMR) spectroscopy. With the convenience of resonance assignment, GABA together with the other 10 primary metabolites was simultaneously identified and quantified in one ¹H-NMR spectrum. In this study, external calibration curves for metabolites were employed to calculate the concentrations of interests. The proposed quantitative approach was demon ...[more]

PMID: 29498655

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Project description:Glycans, carbohydrate molecules in the realm of biology, are present as biomedically important glycoconjugates and a characteristic aspect is that their structures in many instances are branched. In determining the primary structure of a glycan, the sugar components including the absolute configuration and ring form, anomeric configuration, linkage(s), sequence, and substituents should be elucidated. Solution state NMR spectroscopy offers a unique opportunity to resolve all these aspects at atomic resolution. During the last two decades, advancement of both NMR experiments and spectrometer hardware have made it possible to unravel carbohydrate structure more efficiently. These developments applicable to glycans include, inter alia, NMR experiments that reduce spectral overlap, use selective excitations, record tilted projections of multidimensional spectra, acquire spectra by multiple receivers, utilize polarization by fast-pulsing techniques, concatenate pulse-sequence modules to acquire several spectra in a single measurement, acquire pure shift correlated spectra devoid of scalar couplings, employ stable isotope labeling to efficiently obtain homo- and/or heteronuclear correlations, as well as those that rely on dipolar cross-correlated interactions for sequential information. Refined computer programs for NMR spin simulation and chemical shift prediction aid the structural elucidation of glycans, which are notorious for their limited spectral dispersion. Hardware developments include cryogenically cold probes and dynamic nuclear polarization techniques, both resulting in enhanced sensitivity as well as ultrahigh field NMR spectrometers with a 1H NMR resonance frequency higher than 1 GHz, thus improving resolution of resonances. Taken together, the developments have made and will in the future make it possible to elucidate carbohydrate structure in great detail, thereby forming the basis for understanding of how glycans interact with other molecules.

Dataset Information

Quantitative ¹H-NMR Spectroscopy for Profiling Primary Metabolites in Mulberry Leaves.

Publications

Quantitative ¹H-NMR Spectroscopy for Profiling Primary Metabolites in Mulberry Leaves.

Similar Datasets

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