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¹H NMR: Complex Splitting01:13

¹H NMR: Complex Splitting

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A proton M that is coupled to a proton X results in doublet signals for M. However, NMR-active nuclei can be simultaneously coupled to more than one nonequivalent nucleus. When M is coupled to a second proton A, such as in styrene oxide, each peak in the doublet is split into another doublet.
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When proton-coupled carbon-13 spectra are simplified by a broadband proton decoupling technique, structural information about the coupled protons is lost. Distortionless enhancement by polarization transfer (DEPT) is a technique that provides information on the number of hydrogens attached to each carbon in a molecule. While the DEPT experiment utilizes complex pulse sequences, the pulse delay and flip angle are specifically manipulated. The resulting signals have different phases depending on...
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NMR Spectrometers: Resolution and Error Correction01:14

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When magnetic nuclei in a sample achieve resonance and undergo relaxation, the signal detected in NMR is an approximately exponential free induction decay. Fourier transform of an exponential decay yields a Lorentzian peak in the frequency domain. Lorentzian peaks in an NMR spectrum are defined by their amplitude, full width at half maximum, and position, where the peak width is governed by the spin-spin relaxation time alone. In real experiments, however, the applied magnetic field is rendered...
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NMR Spectroscopy: Chemical Shift Overview01:15

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The position of the absorption signal of a sample is reported relative to the position of the signal of tetramethylsilane (TMS), which is added as an internal reference while recording spectra. The difference between the absorption frequencies of the sample and TMS (in Hz) is divided by the spectrometer operating frequency (in MHz) to obtain a dimensionless quantity called the chemical shift. It is reported on the δ (delta) scale and expressed in parts per million.
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¹H NMR Signal Integration: Overview00:58

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The intensity of a signal, which can be represented by the area under the peak, depends on the number of protons contributing to that signal. The area under each peak is shown as a vertical line called an integral, with the integral value listed under it, as seen in the proton NMR spectrum of benzyl acetate. Each integral value is divided by the smallest integral value to obtain the ratio of the number of protons producing each signal. The ratio reveals the relative number of protons and not...
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¹³C NMR: ¹H–¹³C Decoupling01:04

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The probability of having two carbon-13 atoms next to each other is negligible because of the low natural abundance of carbon-13. Consequently, peak splitting due to carbon-carbon spin-spin coupling is not observed in spectra. However, protons up to three sigma bonds away split the carbon signal according to the n+1 rule, resulting in complicated spectra.
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A Strategy for Sensitive, Large Scale Quantitative Metabolomics
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Metabolite Fraction Libraries for Quantitative NMR Metabolomics.

Christopher Esselman1,2, Kara Garrison3,2, Leandro Ponce4,2

  • 1Institute of Bioinformatics, University of Georgia, Athens, Georgia, USA.

Biorxiv : the Preprint Server for Biology
|January 9, 2026
PubMed
Summary
This summary is machine-generated.

This study introduces a new Nuclear Magnetic Resonance (NMR) method using a metabolite fraction library (mFL) and metabolite basis set (mBS) for enhanced metabolomics analysis. The approach accurately quantifies metabolites in complex mixtures.

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Area of Science:

  • Metabolomics and Analytical Chemistry
  • Biochemistry and Molecular Biology

Background:

  • Nuclear Magnetic Resonance (NMR) spectroscopy is a powerful tool for metabolomics, enabling molecule structure elucidation and mixture quantification.
  • One-dimensional proton (1D 1 H) NMR, while common, faces challenges due to significant spectral overlap, complicating data analysis.
  • Accurate metabolite quantification is crucial for understanding biological systems and disease states.

Purpose of the Study:

  • To develop a novel Nuclear Magnetic Resonance (NMR) based approach to overcome spectral overlap challenges in metabolomics.
  • To create a robust method for comprehensive metabolite quantification in complex biological samples.
  • To demonstrate the utility of the new method in analyzing fungal metabolomes.

Main Methods:

  • Generation of a metabolite fraction library (mFL) by chromatographically separating pooled biological samples.
  • Development of an algorithm to extract highly correlated peaks from the mFL, forming a metabolite basis set (mBS).
  • Fitting the mBS to NMR profiling data for comprehensive metabolite quantification.

Main Results:

  • The mBS approach accurately quantified 50 out of 53 metabolites in test mixtures, along with an impurity and an oxidation product.
  • The method accounted for 91-96% of the total spectral intensity in analyzed mixtures.
  • Application to *Neurospora crassa* resulted in high-confidence identification of 45 metabolites, medium-confidence identification of 45 metabolites, and explained 94% of total spectral intensity.

Conclusions:

  • The developed mFL and mBS approach significantly enhances the accuracy and comprehensiveness of NMR-based metabolomics.
  • This method effectively resolves spectral overlap issues, enabling detailed analysis of complex biological mixtures.
  • The approach provides a reliable framework for metabolite identification and quantification in diverse biological systems.