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Related Concept Videos

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

Two-Dimensional (2D) NMR: Overview

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.
NMR Spectrometers: Resolution and Error Correction01:14

NMR Spectrometers: Resolution and Error Correction

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...
¹³C NMR: ¹H–¹³C Decoupling01:04

¹³C NMR: ¹H–¹³C Decoupling

The probability of having two carbon-13 atoms next to each other is negligible because of the low natural abundance of carbon-13. Consequently, peak splitting due to carbon-carbon spin-spin coupling is not observed in spectra. However, protons up to three sigma bonds away split the carbon signal according to the n+1 rule, resulting in complicated spectra.
A broadband decoupling technique is used to simplify these complex, sometimes overlapping, signals. Broadband decoupling relies on a...
¹H NMR: Interpreting Distorted and Overlapping Signals01:02

¹H NMR: Interpreting Distorted and Overlapping Signals

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 slanted or...
¹³C NMR: Distortionless Enhancement by Polarization Transfer (DEPT)01:20

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

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...
Double Resonance Techniques: Overview01:12

Double Resonance Techniques: Overview

Double resonance techniques in Nuclear Magnetic Resonance (NMR) spectroscopy involve the simultaneous application of two different frequencies or radiofrequency pulses to manipulate and observe two distinct nuclear spins. One important application of double resonance is spin decoupling, which selectively suppresses coupling with one type of nucleus while observing the NMR signal from another nucleus, simplifying the spectrum and enhancing resolution.
Spin decoupling is usually achieved by...

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Related Experiment Video

Updated: Jun 28, 2026

A Multimodal Wide-Field Fourier-Transform Raman Microscope
06:48

A Multimodal Wide-Field Fourier-Transform Raman Microscope

Published on: December 30, 2025

Enhanced spectral resolution by high-dimensional NMR using the filter diagonalization method and "hidden" dimensions.

Xi Meng1, Bao D Nguyen, Clark Ridge

  • 1Chemistry Department, University of California Irvine, Irvine, CA 92697-2025, USA.

Journal of Magnetic Resonance (San Diego, Calif. : 1997)
|October 18, 2008
PubMed
Summary

High-dimensional NMR can be improved by adding extra time dimensions, a method called hidden-dimension NMR. This approach enhances spectral resolution and data analysis, often faster than traditional methods.

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Metabolomic Analysis of Rat Brain by High Resolution Nuclear Magnetic Resonance Spectroscopy of Tissue Extracts
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Last Updated: Jun 28, 2026

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Metabolomic Analysis of Rat Brain by High Resolution Nuclear Magnetic Resonance Spectroscopy of Tissue Extracts
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Metabolomic Analysis of Rat Brain by High Resolution Nuclear Magnetic Resonance Spectroscopy of Tissue Extracts

Published on: September 21, 2014

Area of Science:

  • Nuclear Magnetic Resonance (NMR) Spectroscopy
  • Spectroscopic Data Analysis
  • Computational Chemistry and Physics

Background:

  • High-dimensional (HD) NMR spectra suffer from poor digital resolution compared to low-dimensional (LD) spectra within a fixed experimental time.
  • Existing reduced-dimensionality strategies involve acquiring multiple LD projections of HD spectra to improve resolution, followed by reconstruction.
  • These methods face challenges in achieving optimal resolution and efficient data analysis for complex spectral datasets.

Purpose of the Study:

  • To introduce a novel strategy that increases information content in NMR data by adding extra time dimensions.
  • To demonstrate the effectiveness of the filter diagonalization method (FDM) for analyzing HD time-domain data, even with sparse sampling.
  • To propose and validate the concept of 'hidden-dimension NMR' for enhanced spectral resolution and faster data acquisition.

Main Methods:

  • Acquisition of HD NMR data with additional time dimensions, utilizing sparse sampling in each dimension.
  • Analysis of the full HD time-domain data using the filter diagonalization method (FDM).
  • Integration over the added dimensions of the HD FDM spectra to reconstitute LD spectra.

Main Results:

  • FDM analysis yields very narrow resonances along all frequency axes, irrespective of sampling density.
  • Reconstituted LD spectra exhibit enhanced resolution, often achieved more rapidly than direct LD acquisition.
  • HD NMR peaks possess detectable frequency signatures, identifiable by algorithms even when visual recognition is difficult.

Conclusions:

  • Hidden-dimension NMR offers a powerful alternative to reduced-dimensionality strategies by increasing information content through added time dimensions.
  • This method significantly enhances spectral resolution and analytical efficiency in HD NMR spectroscopy.
  • The approach effectively detects and analyzes complex spectral features, overcoming limitations of coarse digital resolution in traditional HD FT spectra.