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

Complex Zeros01:29

Complex Zeros

331
Complex zeros are the solutions to polynomial equations that include imaginary numbers, specifically, numbers of the form a + bi, where a and b are real numbers and i is the imaginary unit defined by i2=-1. These zeros satisfy the equation P(x) = 0, where P(x) is a polynomial with real or complex coefficients. Since the complex number system includes all real numbers, it provides a complete framework for analyzing all possible roots of a polynomial.Every polynomial of degree n≥1 can be...
331
NMR Spectroscopy: Chemical Shift Overview01:15

NMR Spectroscopy: Chemical Shift Overview

3.5K
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...
3.5K
Upsampling01:22

Upsampling

674
Managing signal sampling rates is essential in digital signal processing to maintain signal integrity. A decimated signal, characterized by a reduced frequency range due to its lower sampling rate, can be upsampled by inserting zeros between each sample. This upsampling process expands the original spectrum and introduces repeated spectral replicas at intervals dictated by the new Nyquist frequency. To refine this zero-inserted sequence, it is passed through a lowpass filter with a cutoff...
674
Reconstruction of Signal using Interpolation01:10

Reconstruction of Signal using Interpolation

795
Signal processing techniques are essential for accurately converting continuous signals to digital formats and vice versa. When a continuous signal is sampled with a period T, the resulting sampled signal exhibits replicas of the original spectrum in the frequency domain, spaced at intervals equal to the sampling frequency. To handle this sampled signal, a zero-order hold method can be applied, which creates a piecewise constant signal by retaining each sample's value until the next...
795
Basic Operations on Signals01:22

Basic Operations on Signals

1.2K
Basic signal operations include time reversal, time scaling, time shifting, and amplitude transformations. These operations are fundamental in signal processing and analysis.
Time Reversal mirrors a continuous-time signal about the vertical axis at t=0. This is achieved by substituting t with −t. For example, if a signal x(t) is considered, the time-reversed signal is x(−t). This operation can be graphically represented, showing the mirrored signal.
1.2K
Phasor Arithmetics01:13

Phasor Arithmetics

906
Phasors and their corresponding sinusoids are interrelated, offering unique insights into the behavior of alternating current (AC) circuits. One way to understand this relationship is through the operations of differentiation and integration in both the time and phasor domains.
When the derivative of a sinusoid is taken in the time domain, it transforms into its corresponding phasor multiplied by j-omega (jω) in the phasor domain, where j is the imaginary unit, and ω is the angular...
906

You might also read

Related Articles

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

Sort by
Same author

Thiol-Disulfide Exchange Kinetics and Redox Potential of the Coenzyme M and Coenzyme B Heterodisulfide, an Electron Acceptor Coupled to Energy Conservation in Methanogenic Archaea.

Chembiochem : a European journal of chemical biology·2023
Same author

Conformational ensembles of flexible beta-turn mimetics in DMSO-d6.

Organic & biomolecular chemistry·2010
Same author

Importance of structural tightening, as opposed to partially bound States, in the determination of chemical shift changes at noncovalently bonded interfaces.

Journal of the American Chemical Society·2004
See all related articles

Related Experiment Video

Updated: Mar 1, 2026

Pure Shift Nuclear Magnetic Resonance: a New Tool for Plant Metabolomics
13:16

Pure Shift Nuclear Magnetic Resonance: a New Tool for Plant Metabolomics

Published on: July 31, 2021

2.5K

Zero-quantum filtered pure shift TOCSY.

Jari J Koivisto1

  • 1Department of Chemistry, Aalto University School of Chemical Technology, P.O. Box 16100, 00076, Finland. jari.koivisto@aalto.fi

Chemical Communications (Cambridge, England)
|November 21, 2012
PubMed
Summary

Zero-quantum filtering enhances spectral resolution in pure shift TOCSY experiments by removing dispersive anti-phase signals. This technique improves the clarity and quality of Nuclear Magnetic Resonance (NMR) spectra.

Area of Science:

  • Chemistry
  • Spectroscopy
  • Nuclear Magnetic Resonance (NMR)

Background:

  • Pure shift Total Correlation Spectroscopy (TOCSY) is a powerful NMR technique for molecular structure elucidation.
  • Achieving high spectral resolution is crucial for accurate analysis of complex molecules.
  • Dispersive anti-phase contributions can complicate TOCSY spectra, hindering interpretation.

Purpose of the Study:

  • To investigate the impact of zero-quantum filtering on pure shift TOCSY experiments.
  • To demonstrate the improvement in spectral resolution and spectral quality using this filtering method.

Main Methods:

  • Implementation of zero-quantum filtering within a pure shift TOCSY pulse sequence.
  • Acquisition and analysis of NMR spectra with and without zero-quantum filtering.

More Related Videos

Generation and Coherent Control of Pulsed Quantum Frequency Combs
06:42

Generation and Coherent Control of Pulsed Quantum Frequency Combs

Published on: June 8, 2018

9.8K
Quantum State Engineering of Light with Continuous-wave Optical Parametric Oscillators
09:23

Quantum State Engineering of Light with Continuous-wave Optical Parametric Oscillators

Published on: May 30, 2014

15.1K

Related Experiment Videos

Last Updated: Mar 1, 2026

Pure Shift Nuclear Magnetic Resonance: a New Tool for Plant Metabolomics
13:16

Pure Shift Nuclear Magnetic Resonance: a New Tool for Plant Metabolomics

Published on: July 31, 2021

2.5K
Generation and Coherent Control of Pulsed Quantum Frequency Combs
06:42

Generation and Coherent Control of Pulsed Quantum Frequency Combs

Published on: June 8, 2018

9.8K
Quantum State Engineering of Light with Continuous-wave Optical Parametric Oscillators
09:23

Quantum State Engineering of Light with Continuous-wave Optical Parametric Oscillators

Published on: May 30, 2014

15.1K
  • Comparison of spectral resolution and signal-to-noise ratios.

    • Main Results:

    • Zero-quantum filtering effectively suppresses dispersive anti-phase signals.
    • Significant improvement in spectral resolution was observed in filtered spectra.
    • Enhanced spectral clarity facilitates better peak assignment and analysis.

    Conclusions:

    • Zero-quantum filtering is a valuable addition to pure shift TOCSY experiments.
    • This method offers a straightforward approach to enhance spectral quality in NMR spectroscopy.
    • Improved resolution aids in the detailed structural analysis of chemical compounds.