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Related Concept Videos

Two-Dimensional (2D) NMR: Overview01:12

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The 1D NMR spectrum of large and complex molecules like natural products has complicated splitting patterns and overlapping signals, which can be easily interpreted using 2-dimensional (2D) NMR. Unlike 1D NMR, 2D NMR has two frequency axes that provide the coupling information between the nucleus A and nucleus B in a molecule. The process from which 2D spectra are obtained has four steps.
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2D NMR: Heteronuclear Single-Quantum Correlation Spectroscopy (HSQC)01:19

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Heteronuclear single-quantum correlation spectroscopy (HSQC) is a 2D NMR technique that reveals one-bond correlations between hydrogen and a heteronucleus. The HSQC experiment is similar to the heteronuclear correlation experiment (HETCOR) but is more sensitive. In the HSQC spectrum, the proton chemical shift is plotted on the horizontal F2 axis, while the 13C chemical shift is plotted on the vertical F1 axis. The corresponding proton and 13C spectra are also shown. The HSQC contour plot does...
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NMR Spectrometers: Overview01:20

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NMR spectrometers consist of a strong magnet, a radiofrequency transmitter, and a detector attached to a computer console for recording spectra of samples containing NMR-active nuclei. In first-generation NMR instruments called continuous-wave spectrometers, the resonance frequencies of the nuclei are determined by frequency-sweep or field-sweep methods. The magnetic field strength is fixed and the rf signal is swept in the former, while the radiofrequency signal is fixed and the magnetic field...
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2D NMR: Overview of Homonuclear Correlation Techniques01:16

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Homonuclear correlation spectroscopy (COSY) is a powerful technique used in Nuclear Magnetic Resonance (NMR) spectroscopy to study the correlations between nuclei of the same type within a molecule. It provides information about scalar couplings between adjacent nuclei, which helps determine connectivity and structural information. There are several COSY variants, each with its unique strengths and experimental parameters.
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¹H NMR: Interpreting Distorted and Overlapping Signals01:02

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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.
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2D NMR: Overview of Heteronuclear Correlation Techniques01:18

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Heteronuclear correlation spectroscopy is an analytical technique that investigates the coupling between different types of nuclei, often a proton and an X-nucleus, such as carbon-13 or nitrogen-15. This method is commonly used in nuclear magnetic resonance (NMR) spectroscopy to gain insights into complex chemical compounds' structural and compositional aspects. A typical heteronuclear correlation spectrum displays X-nucleus chemical shifts on one axis and a proton spectrum on the other...
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Measuring Interactions of Globular and Filamentous Proteins by Nuclear Magnetic Resonance Spectroscopy NMR and Microscale Thermophoresis MST
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Fast multidimensional NMR spectroscopy for sparse spectra.

Dany Merhej1, Hélène Ratiney, Chaouki Diab

  • 1Université de Lyon, CREATIS; CNRS UMR5220; Inserm U1044; INSA-Lyon; Université Lyon 1, France; ISAE, Cnam Liban, Beirut, Lebanon.

NMR in Biomedicine
|March 26, 2014
PubMed
Summary
This summary is machine-generated.

This study introduces a novel method for accelerating multidimensional NMR spectroscopy by under-sampling data acquisition. This technique significantly reduces experiment time for sparse spectra, enabling faster molecular structure determination.

Keywords:
multidimensional NMR spectroscopyobservation selectionsparse spectraunder-sampling

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Area of Science:

  • Nuclear Magnetic Resonance (NMR) Spectroscopy
  • Structural Biology
  • Spectroscopy

Background:

  • Multidimensional NMR spectroscopy is crucial for determining molecular and biomolecular structures.
  • A significant limitation of multidimensional NMR is the extensive acquisition time required to obtain spectral data.
  • This prolonged acquisition time can hinder efficient structure elucidation.

Purpose of the Study:

  • To present a novel method for under-sampling multidimensional NMR acquisitions, specifically for sparse spectra.
  • To reduce the overall acquisition time for multidimensional NMR experiments.
  • To improve the efficiency of structure determination studies.

Main Methods:

  • The proposed method utilizes prior knowledge of spectral support in the frequency domain to reconstruct data.
  • It transforms an under-determined system (from under-sampling) into an over-determined system solvable by linear least squares.
  • Prior spectral support information is efficiently obtained from 1D NMR acquisitions, and sampling is optimized using sequential backward selection.

Main Results:

  • The method enables reliable and fast reconstruction of 2D NMR spectra with acceleration factors of 3-6.
  • It outperforms existing Compressed Sensing (CS) methods like Orthogonal Matching Pursuit (OMP) and L1 minimization in reconstruction performance, implementation, and computation time.
  • Demonstrated reliable and fast reconstructions in both theoretical and experimental settings.

Conclusions:

  • The developed under-sampling strategy significantly reduces NMR acquisition time for sparse spectra.
  • This approach offers a more efficient alternative to current CS methods for multidimensional NMR.
  • The method is extensible to higher dimensional NMR and spectroscopic imaging, broadening its applicability.