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

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

Two-Dimensional (2D) NMR: Overview

1.4K
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.
The first step is the preparation period, during which nucleus A is excited with a radiofrequency pulse....
1.4K
2D NMR: Overview of Homonuclear Correlation Techniques01:16

2D NMR: Overview of Homonuclear Correlation Techniques

578
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.
COSY90 is the standard two-dimensional (2D) COSY experiment that...
578
2D NMR: Overview of Heteronuclear Correlation Techniques01:18

2D NMR: Overview of Heteronuclear Correlation Techniques

708
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...
708
2D NMR: Heteronuclear Single-Quantum Correlation Spectroscopy (HSQC)01:19

2D NMR: Heteronuclear Single-Quantum Correlation Spectroscopy (HSQC)

1.3K
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...
1.3K
¹H NMR: Interpreting Distorted and Overlapping Signals01:02

¹H NMR: Interpreting Distorted and Overlapping Signals

1.4K
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...
1.4K
2D NMR: Homonuclear Correlation Spectroscopy (COSY)01:06

2D NMR: Homonuclear Correlation Spectroscopy (COSY)

1.8K
Homonuclear correlation spectroscopy, or COSY, is a 2-dimensional NMR technique that provides information about coupled protons. Typically, the geminal and vicinal coupling are observed. For example, consider the COSY spectrum of ethyl acetate, where its 1D proton NMR spectrum is plotted along the vertical and horizontal axes with their corresponding chemical shift scale. Three spots on the diagonal corresponding to the three peaks in the 1D proton spectrum are called diagonal peaks. The COSY...
1.8K

You might also read

Related Articles

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

Sort by
Same author

Tsunami inversion using deep neural representations.

Scientific reports·2026
Same author

Whole Stimulus DPOAE Analysis.

AIP conference proceedings·2024
Same author

Informed Adaptive Sensing.

IEEE transactions on pattern analysis and machine intelligence·2023
Same author

Single-Sided Magnet System for Quantitative MR Relaxometry and Preclinical In-Vivo Monitoring.

IEEE transactions on bio-medical engineering·2023
Same author

Oxygen saturation-dependent effects on blood transverse relaxation at low fields.

Magma (New York, N.Y.)·2022
Same author

Improved data efficiency for NMR diffusion-relaxation processing.

Journal of magnetic resonance (San Diego, Calif. : 1997)·2021

Related Experiment Video

Updated: Jan 4, 2026

Atomic Scale Structural Studies of Macromolecular Assemblies by Solid-state Nuclear Magnetic Resonance Spectroscopy
14:55

Atomic Scale Structural Studies of Macromolecular Assemblies by Solid-state Nuclear Magnetic Resonance Spectroscopy

Published on: September 17, 2017

15.9K

Two-dimensional subband Steiglitz-McBride algorithm for automatic analysis of two-dimensional nuclear magnetic

Muhammad Ali Raza Anjum1, Pawel A Dmochowski1, Paul D Teal1

  • 1School of Engineering, Computer Science, Victoria University of Wellington, Wellington, New Zealand.

Magnetic Resonance in Chemistry : MRC
|October 31, 2019
PubMed
Summary

A new 2D Steiglitz-McBride algorithm improves two-dimensional nuclear magnetic resonance (2D-NMR) data analysis. This method offers faster, more accurate, and automated quantitation of 2D-NMR data.

Keywords:
2D Steiglitz-McBride2D-BIC2D-IPF2D-NMRalgorithmautomaticsubband

More Related Videos

Measuring Interactions of Globular and Filamentous Proteins by Nuclear Magnetic Resonance Spectroscopy NMR and Microscale Thermophoresis MST
10:28

Measuring Interactions of Globular and Filamentous Proteins by Nuclear Magnetic Resonance Spectroscopy NMR and Microscale Thermophoresis MST

Published on: November 2, 2018

12.5K
Probe Type II Band Alignment in One-Dimensional Van Der Waals Heterostructures Using First-Principles Calculations
13:56

Probe Type II Band Alignment in One-Dimensional Van Der Waals Heterostructures Using First-Principles Calculations

Published on: October 12, 2019

8.0K

Related Experiment Videos

Last Updated: Jan 4, 2026

Atomic Scale Structural Studies of Macromolecular Assemblies by Solid-state Nuclear Magnetic Resonance Spectroscopy
14:55

Atomic Scale Structural Studies of Macromolecular Assemblies by Solid-state Nuclear Magnetic Resonance Spectroscopy

Published on: September 17, 2017

15.9K
Measuring Interactions of Globular and Filamentous Proteins by Nuclear Magnetic Resonance Spectroscopy NMR and Microscale Thermophoresis MST
10:28

Measuring Interactions of Globular and Filamentous Proteins by Nuclear Magnetic Resonance Spectroscopy NMR and Microscale Thermophoresis MST

Published on: November 2, 2018

12.5K
Probe Type II Band Alignment in One-Dimensional Van Der Waals Heterostructures Using First-Principles Calculations
13:56

Probe Type II Band Alignment in One-Dimensional Van Der Waals Heterostructures Using First-Principles Calculations

Published on: October 12, 2019

8.0K

Area of Science:

  • Analytical Chemistry
  • Spectroscopy
  • Computational Chemistry

Background:

  • Quantitation of two-dimensional nuclear magnetic resonance (2D-NMR) data presents significant challenges in terms of speed, accuracy, and automation.
  • Previous methods for analyzing one-dimensional NMR data showed promise with Bayesian information criterion-based subband algorithms.

Purpose of the Study:

  • To evaluate the efficacy of a 2D Steiglitz-McBride algorithm for the quantitation of 2D-NMR data.
  • To compare the performance of the proposed 2D algorithm against existing 2D-NMR analysis techniques.

Main Methods:

  • Application of a 2D Steiglitz-McBride algorithm.
  • Utilizing 2D subband decomposition.
  • Incorporating the 2D Bayesian information criterion for data analysis.

Main Results:

  • The 2D Steiglitz-McBride algorithm demonstrated excellent performance in speed, accuracy, and automation for 2D-NMR data quantitation.
  • The algorithm's performance was superior when compared to previously published analysis techniques for 2D-NMR data.

Conclusions:

  • The developed 2D Steiglitz-McBride algorithm, combined with 2D subband decomposition and the 2D Bayesian information criterion, provides a robust solution for 2D-NMR data analysis.
  • This approach significantly advances the capabilities for rapid, accurate, and automated quantitation in 2D-NMR spectroscopy.