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Related Concept Videos

NMR Spectrometers: Resolution and Error Correction01:14

NMR Spectrometers: Resolution and Error Correction

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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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Conventional electron microscopy (EM) involves dehydration, fixation, and staining of biological samples, which distorts the native state of biological molecules and results in several artifacts. Also, the high-energy electron beam damages the sample and makes it difficult to obtain high-resolution images. These issues can be addressed using cryo-EM, which uses frozen samples and gentler electron beams. The technique was developed by Jacques Dubochet, Joachim Frank, and Richard Henderson, for...
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The axial and equatorial protons in cyclohexane can be distinguished by performing a variable-temperature NMR experiment. In this process, except for one proton, the remaining eleven protons are replaced by deuterium. The deuterium substitution avoids the possible peak splitting caused by the spin-spin coupling between the adjacent protons. The remaining proton flips between the axial and equatorial positions.
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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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NMR Spectral Alignment Utilizing a CryoEM Motion Correction Algorithm.

Colin A Hemme1,2, Owen A Warmuth1, Songlin Wang1

  • 1Department of Biochemistry, University of Wisconsin-Madison, 433 Babcock Dr, Madison, Wisconsin 53706, United States.

Analytical Chemistry
|December 15, 2025
PubMed
Summary
This summary is machine-generated.

Automated NMR Spectral Alignment (ANSA) software aligns solid-state NMR spectra using image-based cross-correlation. This method overcomes manual alignment limitations, enhancing data rigor and enabling automated processing for complex experiments.

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Area of Science:

  • Biophysics
  • Analytical Chemistry
  • Structural Biology

Background:

  • Magic-angle spinning (MAS) solid-state NMR (SSNMR) offers high resolution but faces spectral alignment challenges.
  • Existing methods lack automation and are subjective, hindering analysis of complex datasets like large proteins.
  • Field gradients, temperature variations, and pulse sequence effects cause referencing errors in SSNMR data.

Purpose of the Study:

  • To develop an automated spectral alignment method for SSNMR data.
  • To address the limitations of manual, subjective peak inspection for spectral referencing.
  • To improve the accuracy and reproducibility of SSNMR data processing.

Main Methods:

  • Developed Automated NMR Spectral Alignment (ANSA) software.
  • Adapted principles from cryo-electron microscopy motion correction for NMR spectra.
  • Utilized cross-correlation functions to treat NMR spectra as images for alignment.

Main Results:

  • ANSA improved cross-correlation scores from 0.33 to 1.00 in controlled tests.
  • Achieved 0.96 correlation in real-world applications with previously misaligned spectra.
  • Successfully aligned spectra across various experimental conditions and corrected shifts in long-duration experiments.

Conclusions:

  • ANSA provides objective and consistent spectral alignment, enhancing scientific rigor.
  • The software improves reproducibility and enables automation of critical NMR data processing steps.
  • ANSA is available as an open-source tool for integration into existing NMR workflows.