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Related Concept Videos

NMR Spectroscopy: Chemical Shift Overview01:15

NMR Spectroscopy: Chemical Shift Overview

1.5K
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.
For instance, the proton...
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NMR Spectroscopy Of Amines01:19

NMR Spectroscopy Of Amines

8.7K
In proton NMR spectroscopy, primary amines and secondary amines showcase their N–H protons as a broad signal in the chemical shift range between δ 0.5 and 5 ppm. The exact position in this range depends on several factors, including sample concentration, hydrogen bonding, and the type of solvent used. Since amine protons undergo fast proton exchange in solution, the protons are labile and therefore do not participate in any splitting with adjacent protons. Thus, the observed peak is...
8.7K
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
NMR Spectrometers: Overview01:20

NMR Spectrometers: Overview

1.1K
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...
1.1K
NMR Spectrometers: Radiofrequency Pulses and Pulse Sequences01:17

NMR Spectrometers: Radiofrequency Pulses and Pulse Sequences

790
A pulse is a short burst of radio waves distributed over a range of frequencies that simultaneously excites all the nuclei in the sample. Upon passing a radio frequency pulse along the x-axis, the nuclei absorb energy corresponding to their Larmor frequencies and achieve resonance. This shifts the net magnetization vector from the z-axis toward the transverse plane. This angle of rotation of the magnetization vector, or the flip angle, is proportional to the duration and intensity of the pulse.
790
¹³C NMR: Distortionless Enhancement by Polarization Transfer (DEPT)01:20

¹³C NMR: Distortionless Enhancement by Polarization Transfer (DEPT)

1.0K
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...
1.0K

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Pure Shift Nuclear Magnetic Resonance: a New Tool for Plant Metabolomics
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Fast Pure Shift NMR Spectroscopy Using Attention-Assisted Deep Neural Network.

Haolin Zhan1, Jiawei Liu1, Qiyuan Fang1

  • 1Department of Biomedical Engineering, Anhui Provincial Engineering Research Center of Semiconductor Inspection Technology and Instrument, Anhui Province Key Laboratory of Measuring Theory and Precision Instrument, School of Instrument Science and Opto-electronics Engineering, Hefei University of Technology, Hefei, 230009, China.

Advanced Science (Weinheim, Baden-Wurttemberg, Germany)
|June 6, 2024
PubMed
Summary

This study introduces an AI-powered deep learning method for accelerating pure shift NMR spectroscopy. The attention-assisted network reconstructs high-resolution spectra efficiently, even with minimal data, enabling faster molecular analysis.

Keywords:
NMR spectroscopyartificial Intelligenceattention mechanismdeep learningpure shift

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Area of Science:

  • Nuclear Magnetic Resonance (NMR) Spectroscopy
  • Artificial Intelligence (AI) in Chemistry
  • Spectroscopic Data Analysis

Background:

  • Pure shift NMR spectroscopy offers enhanced resolution for molecular structure and dynamics studies.
  • Extended experimental times in pure shift NMR, particularly multi-dimensional techniques, limit practical applications.
  • Need for accelerated acquisition methods to overcome time limitations in advanced NMR.

Purpose of the Study:

  • To develop a fast, reliable, and robust method for accelerated pure shift NMR spectroscopy.
  • To implement a deep learning protocol for reconstructing high-resolution NMR spectra from undersampled data.
  • To leverage an attention mechanism to improve spectral feature highlighting and signal recovery.

Main Methods:

  • Development and implementation of a lightweight attention-assisted deep neural network.
  • Application of the deep learning protocol to reconstruct accelerated pure shift NMR spectra.
  • Validation using simulated and experimental NMR data, including analysis of undersampled datasets (5.4% data).

Main Results:

  • Successful suppression of undersampling artifacts and recovery of high-resolution signals.
  • High-fidelity signal intensities were achieved in accelerated pure shift acquisitions.
  • Effective recovery of weak signals and distinction of close chemical shifts from severely undersampled data.

Conclusions:

  • The attention-assisted deep learning protocol significantly accelerates pure shift NMR acquisition.
  • This AI-driven approach demonstrates substantial potential for enhancing speed and efficiency in NMR spectroscopy.
  • Presents a promising AI-assisted NMR paradigm for broader applications across chemistry, biology, and materials science.