Articles | Volume 2, issue 2
Research article
19 Nov 2021
Research article |  | 19 Nov 2021

Selective excitation enables encoding and measurement of multiple diffusion parameters in a single experiment

Neil MacKinnon, Mehrdad Alinaghian, Pedro Silva, Thomas Gloge, Burkhard Luy, Mazin Jouda, and Jan G. Korvink


Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • CC1: 'Comment on mr-2021-56', R. Soong, 16 Jul 2021
  • RC1: 'Comment on mr-2021-56', Davy Sinnaeve, 03 Aug 2021
  • RC2: 'Comment on mr-2021-56', Anonymous Referee #2, 06 Aug 2021
  • AC1: 'Comment on mr-2021-56', Neil MacKinnon, 15 Sep 2021

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Neil MacKinnon on behalf of the Authors (30 Sep 2021)  Author's response    Author's tracked changes    Manuscript
ED: Referee Nomination & Report Request started (10 Oct 2021) by Fabien Ferrage
RR by Anonymous Referee #2 (17 Oct 2021)
ED: Publish subject to corrections (31 Oct 2021) by Fabien Ferrage
AR by Neil MacKinnon on behalf of the Authors (07 Nov 2021)  Author's response    Manuscript
Short summary
To increase experimental efficiency, information can be encoded in parallel by taking advantage of highly resolved NMR spectra. Here we demonstrate parallel encoding of optimal diffusion parameters by selectively using a resonance for each molecule in the sample. This yields a factor of n decrease in experimental time since n experiments can be encoded into a single measurement. This principle can be extended to additional experimental parameters as a means to further improve measurement time.