Jump-and-return sandwiches : a new family of binomial-like selective inversion sequences with improved performance

Tom Brenner, Johnny Chen, Tim Stait-Gardner, Gang Zheng, Shingo Matsukawa, William S. Price

Research output: Contribution to journalArticlepeer-review

5 Citations (Scopus)

Abstract

A new family of binomial-like inversion sequences, named jump-and-return sandwiches (JRS), has been developed by inserting a binomial-like sequence into a standard jump-and-return sequence, discovered through use of a stochastic Genetic Algorithm optimisation. Compared to currently used binomial-like inversion sequences (e.g., 3–9–19 and W5), the new sequences afford wider inversion bands and narrower non-inversion bands with an equal number of pulses. As an example, two jump-and-return sandwich 10-pulse sequences achieved 95% inversion at offsets corresponding to 9.4% and 10.3% of the non-inversion band spacing, compared to 14.7% for the binomial-like W5 inversion sequence, i.e., they afforded non-inversion bands about two thirds the width of the W5 non-inversion band.
Original languageEnglish
Pages (from-to)100-108
Number of pages9
JournalJournal of Magnetic Resonance
Volume288
DOIs
Publication statusPublished - 2018

Keywords

  • nuclear magnetic resonance
  • solvents

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