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Wideband, alternating-phase, low-power technique for residual splitting

Term · Chemistry · MLC-T-CHM-012696

A specific nuclear magnetic resonance pulse sequence used for heteronuclear decoupling, designed to remove spin-spin coupling between different types of nuclei over a broad frequency range. The technique, known as WALTZ, applies a composite pulse train with alternating phases and low power requirements to achieve efficient decoupling. WALTZ-16 is a common implementation of this sequence, consisting of 16 individual pulses arranged in a symmetric pattern.

Table 1. Record
IdentifierMLC-T-CHM-012696
FieldChemistry
SubjectAnalytical Chemistry
SynonymsWALTZ decoupling
ReferencesPAC, 2021, 93, 647. 'Glossary of methods and terms used in analytical spectroscopy (IUPAC Recommendations 2019)' on page 710 (https://doi.org/10.1515/pac-2019-0203)
See alsoHeteronuclear decoupling
Record as JSON
{
  "id": "MLC-T-CHM-012696",
  "term": "Wideband, alternating-phase, low-power technique for residual splitting",
  "field": "Chemistry",
  "definition": "A specific nuclear magnetic resonance pulse sequence used for heteronuclear decoupling, designed to remove spin-spin coupling between different types of nuclei over a broad frequency range. The technique, known as WALTZ, applies a composite pulse train with alternating phases and low power requirements to achieve efficient decoupling. WALTZ-16 is a common implementation of this sequence, consisting of 16 individual pulses arranged in a symmetric pattern.",
  "synonyms": [
    "WALTZ decoupling"
  ],
  "subject": "Analytical Chemistry",
  "see_also": [
    "heteronuclear decoupling"
  ],
  "references": [
    "PAC, 2021, 93, 647. 'Glossary of methods and terms used in analytical spectroscopy (IUPAC Recommendations 2019)' on page 710 (https://doi.org/10.1515/pac-2019-0203)"
  ],
  "url": "https://mlchart.com/terminology/chemistry/wideband-alternating-phase-low-power-technique-for-residual-splitting/"
}

Record 13,541 of 13,676 in Chemistry terminology (MLC-0109). Request the full dataset.