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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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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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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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Nuclear magnetic resonance (NMR) is a phenomenon exhibited by certain nuclei that can absorb characteristic radio frequency radiation under certain conditions. NMR has been extensively applied in molecular spectroscopy and medical diagnostic imaging. In both these applications, the molecule or subject under study is placed in a magnetic field and irradiated with radio frequency energy.
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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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Atomic Scale Structural Studies of Macromolecular Assemblies by Solid-state Nuclear Magnetic Resonance Spectroscopy
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Visualization and processing of computed solid-state NMR parameters: MagresView and MagresPython.

Simone Sturniolo1, Timothy F G Green2, Robert M Hanson3

  • 1Scientific Computing Department, Rutherford Appleton Laboratory, Chilton, Didcot, Oxfordshire OX11 0QX, United Kingdom.

Solid State Nuclear Magnetic Resonance
|July 21, 2016
PubMed
Summary
This summary is machine-generated.

We present two open-source tools for processing and visualizing ab-initio computed solid-state Nuclear Magnetic Resonance (NMR) parameters. These tools facilitate the analysis of NMR data, aiding in structural correlation studies.

Keywords:
DFTGIPAWSimulationSolid-state NMRVisualisation

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Area of Science:

  • Computational Chemistry
  • Materials Science
  • Solid-State Nuclear Magnetic Resonance (NMR) Spectroscopy

Background:

  • Ab-initio computation of solid-state Nuclear Magnetic Resonance (NMR) parameters is crucial for materials characterization.
  • Efficient processing and visualization tools are needed to handle the large datasets generated by these computations.

Purpose of the Study:

  • To introduce two open-source software tools designed to streamline the processing and visualization of ab-initio computed solid-state NMR parameters.
  • To facilitate the analysis of NMR data and explore structure-property relationships.

Main Methods:

  • Implementation of the Magres file format for computed NMR parameters, compatible with CASTEP and QuantumEspresso.
  • Development of MagresView, a visualization tool based on Jmol, for displaying NMR parameters and spectra.
  • Creation of MagresPython, a scripting tool for manipulating NMR parameters and identifying structural correlations.

Main Results:

  • The Magres file format is successfully implemented in widely used computational chemistry packages.
  • MagresView provides an intuitive interface for visualizing NMR parameters and generating spectral representations.
  • MagresPython enables efficient manipulation of large NMR datasets for structural correlation analysis.

Conclusions:

  • The developed open-source tools offer a comprehensive solution for processing and visualizing ab-initio computed solid-state NMR parameters.
  • These tools enhance the accessibility and utility of computational NMR data for materials research.
  • The software facilitates the discovery of structure-property relationships through efficient data analysis.