Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

NMR Spectrometers: Resolution and Error Correction01:14

NMR Spectrometers: Resolution and Error Correction

946
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...
946
¹H NMR: Interpreting Distorted and Overlapping Signals01:02

¹H NMR: Interpreting Distorted and Overlapping Signals

1.3K
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...
1.3K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Activation, Steady-State and Passivation Regimes for Ethene Hydrogenation over a Pd/Al <b><sub>2</sub></b> O <b><sub>3</sub></b> Catalyst: An <i>Operando</i> Neutron Imaging Study.

The journal of physical chemistry. C, Nanomaterials and interfaces·2026
Same author

Highly Reversible and Selective Capture of Trace SO<sub>2</sub> in a Scalable Aluminum-Based Metal-Organic Framework.

Journal of the American Chemical Society·2026
Same author

Direct Synthesis of Pure Aqueous H<sub>2</sub>O<sub>2</sub> Solutions Catalyzed by C<sub>60</sub>-Buffered Proton-Electron Transfer on Palladium Adatoms.

Journal of the American Chemical Society·2026
Same author

Inelastic neutron scattering of catalysts and computational studies: a synergistic pairing.

Philosophical transactions. Series A, Mathematical, physical, and engineering sciences·2026
Same author

The adsorption of aniline over alumina-supported palladium: an infrared spectroscopic and computational study.

Philosophical transactions. Series A, Mathematical, physical, and engineering sciences·2026
Same author

Molecular contributions to the thermal neutron cross sections of O2, N2, and air.

The Journal of chemical physics·2026

Related Experiment Video

Updated: Nov 30, 2025

High-Resolution Neutron Spectroscopy to Study Picosecond-Nanosecond Dynamics of Proteins and Hydration Water
08:48

High-Resolution Neutron Spectroscopy to Study Picosecond-Nanosecond Dynamics of Proteins and Hydration Water

Published on: April 28, 2022

2.0K

A Python Algorithm to Analyze Inelastic Neutron Scattering Spectra Based on the y-Scale Formalism.

Claudia Scatigno1,2, Giovanni Romanelli3, Enrico Preziosi4

  • 1Dipartimento di Scienze Fisiche e Tecnologie della Materia, CNR, Piazzale Aldo Moro 7, 00185 Roma, Italy.

Journal of Chemical Theory and Computation
|November 17, 2020
PubMed
Summary
This summary is machine-generated.

This study introduces INSCorNorm, a Python algorithm that corrects inelastic neutron scattering (INS) spectra for self-shielding effects and normalizes intensity. This enables precise comparisons between experimental data and simulations.

More Related Videos

Study of Protein Dynamics via Neutron Spin Echo Spectroscopy
08:03

Study of Protein Dynamics via Neutron Spin Echo Spectroscopy

Published on: April 13, 2022

2.4K
Contrast-Matching Detergent in Small-Angle Neutron Scattering Experiments for Membrane Protein Structural Analysis and Ab Initio Modeling
10:27

Contrast-Matching Detergent in Small-Angle Neutron Scattering Experiments for Membrane Protein Structural Analysis and Ab Initio Modeling

Published on: October 21, 2018

12.8K

Related Experiment Videos

Last Updated: Nov 30, 2025

High-Resolution Neutron Spectroscopy to Study Picosecond-Nanosecond Dynamics of Proteins and Hydration Water
08:48

High-Resolution Neutron Spectroscopy to Study Picosecond-Nanosecond Dynamics of Proteins and Hydration Water

Published on: April 28, 2022

2.0K
Study of Protein Dynamics via Neutron Spin Echo Spectroscopy
08:03

Study of Protein Dynamics via Neutron Spin Echo Spectroscopy

Published on: April 13, 2022

2.4K
Contrast-Matching Detergent in Small-Angle Neutron Scattering Experiments for Membrane Protein Structural Analysis and Ab Initio Modeling
10:27

Contrast-Matching Detergent in Small-Angle Neutron Scattering Experiments for Membrane Protein Structural Analysis and Ab Initio Modeling

Published on: October 21, 2018

12.8K

Area of Science:

  • Materials Science
  • Computational Physics
  • Spectroscopy

Background:

  • Inelastic Neutron Scattering (INS) is a powerful technique for material analysis.
  • Accurate interpretation of INS spectra requires corrections for self-shielding and normalization to an absolute scale.
  • Existing methods often lack comprehensive correction capabilities for both sample and container self-shielding.

Purpose of the Study:

  • To develop and validate a Python-based algorithm (INSCorNorm) for correcting INS spectra.
  • To normalize INS spectral intensity to an absolute physical scale (barn/energy unit).
  • To facilitate direct comparison between experimental INS data and theoretical simulations.

Main Methods:

  • Development of the INSCorNorm algorithm in Python.
  • Benchmarking the algorithm using INS measurements of ZrH2 on the TOSCA spectrometer.
  • Application of the algorithm to INS spectra of l-lysine for biological and medical relevance.

Main Results:

  • INSCorNorm successfully corrects for sample and container self-shielding in INS spectra.
  • The algorithm normalizes spectral intensity to an absolute scale, enabling quantitative analysis.
  • Corrected INS data for l-lysine serve as an experimental benchmark for theoretical calculations.

Conclusions:

  • The INSCorNorm algorithm provides a robust method for processing INS data.
  • Accurate INS data are crucial for validating theoretical models, such as nuclear anisotropic displacement parameters.
  • The algorithm is integrated into the MANTID software, making it accessible to the neutron user community.