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Related Concept Videos

¹H NMR Signal Integration: Overview00:58

¹H NMR Signal Integration: Overview

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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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Interpreting ¹H NMR Signal Splitting: The (n + 1) Rule01:10

Interpreting ¹H NMR Signal Splitting: The (n + 1) Rule

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In the AX proton spin system, proton A can sense the two spin states of a coupled proton X, resulting in a doublet NMR signal with two peaks of equal (1:1) intensity. When proton A is coupled to two equivalent protons (AX2 spin system), the spin states of each X can be aligned with or against the external field, creating three possible scenarios. This results in a 1:2:1  triplet signal, where the central peak corresponds to the chemical shift of A and is twice as large or intense as the...
1.4K
Peptide Identification Using Tandem Mass Spectrometry01:33

Peptide Identification Using Tandem Mass Spectrometry

6.5K
Tandem mass spectrometry, also known as MS/MS or MS2, is an analytical technique that employs two mass analyzers. Essentially it is a series of mass spectrometers that helps isolate a particular biomolecule and then helps study its chemical properties.
This technique helps gather information regarding the protein from which the peptide was obtained and to study the peptides’ amino acid sequence. Identifying peptides from a complex mixture is an important component of the growing field of...
6.5K
¹H NMR: Interpreting Distorted and Overlapping Signals01:02

¹H NMR: Interpreting Distorted and Overlapping Signals

1.0K
Spin systems where the difference in chemical shifts of the coupled nuclei is greater than ten times J are called first-order spin systems. These nuclei are weakly coupled, and their chemical shifts and coupling constant can generally be estimated from the well-separated signals in the spectrum.
As Δν decreases and the signals move closer, the doublets appear increasingly distorted. The intensities of the inner lines increase at the cost of those of the outer lines as the signals are...
1.0K
¹H NMR Signal Multiplicity: Splitting Patterns01:13

¹H NMR Signal Multiplicity: Splitting Patterns

5.2K
When protons A and X are coupled, their nuclear spin energy levels are slightly modified. This is because the energy required to excite proton A to a spin state parallel to proton X is slightly different from the energy required for it to become anti-parallel to spin X. Consequently, there are two possible excitation frequencies for A (A1 and A2), depending on the spin state of X, and vice versa. The mutual nature of coupling implies that the difference between frequencies A1 and A2, indicated...
5.2K
¹H NMR: Complex Splitting01:13

¹H NMR: Complex Splitting

1.3K
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.
Splitting diagrams or splitting tree diagrams are routinely used to depict such complex couplings. While drawing splitting diagrams, the splitting with the larger coupling constant is usually applied...
1.3K

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Multiplet-Assisted Peak Alignment for 1H NMR-Based Metabolomics.

Andrés Charris-Molina1,2, Paula Burdisso3, Pablo A Hoijemberg2,4

  • 1Departamento de Química Inorgánica Analítica y Química Física, Facultad de Ciencias Exactas y Naturales, Ciudad Universitaria, Universidad de Buenos Aires, Ciudad Autónoma de Buenos Aires C1428EGA, Argentina.

Journal of Proteome Research
|December 21, 2023
PubMed
Summary

This study introduces a novel multiplet-assisted peak alignment algorithm for NMR-based metabolomics. This method accurately aligns spectral peaks, even with overlap, improving molecule identification in biological samples.

Keywords:
J-resolvedNMRSTOCSYcomplex mixturecorrespondencedatabasemetabolomicsmultipletpeak alignmentpeak overlap

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Area of Science:

  • Biochemistry
  • Analytical Chemistry
  • Metabolomics

Background:

  • Nuclear Magnetic Resonance (NMR)-based metabolomics requires accurate peak alignment for meaningful statistical analysis of spectral data.
  • Existing peak alignment algorithms often struggle with spectral regions exhibiting peak overlap or frequency order exchange.
  • Alternative methods like spectral binning or database-dependent annotation and quantification have limitations.

Purpose of the Study:

  • To develop a novel peak alignment methodology for NMR-based metabolomics that overcomes limitations of current algorithms.
  • To improve the accuracy of spectral data analysis, particularly in regions with complex peak patterns.
  • To facilitate better identification of molecules of interest in biological samples.

Main Methods:

  • A multiplet-assisted peak alignment algorithm is presented, utilizing J-resolved spectra.
  • The method aligns peaks by matching multiplet profiles of f1 traces.
  • A correspondence matrix of linked f1 traces is constructed for multivariate data analysis and statistical total correlation spectroscopy.

Main Results:

  • The proposed algorithm effectively aligns peaks, successfully addressing challenges posed by peak overlap and frequency crossovers.
  • The generated correspondence matrix enables robust multivariate data analysis.
  • Improved identification of molecules of interest is achieved through enhanced data interpretation.

Conclusions:

  • The multiplet-assisted peak alignment algorithm offers a significant advancement for NMR-based metabolomics data processing.
  • This methodology enhances the reliability and interpretability of spectral data, especially in complex biological mixtures.
  • The approach can be integrated with existing 1D 1H databases or a specialized Chemical Shift Multiplet Database for comprehensive analysis.