Close
Help




JOURNAL

Magnetic Resonance Insights

Mathematical Modeling and Data Analysis of NMR Experiments using Hyperpolarized 13C Metabolites

Submit a Paper


Magnetic Resonance Insights 2013:6 13-21

Review

Published on 24 Feb 2013

DOI: 10.4137/MRI.S11084


Further metadata provided in PDF



Sign up for email alerts to receive notifications of new articles published in Magnetic Resonance Insights

Abstract

Rapid-dissolution dynamic nuclear polarization (DNP) has made significant impact in the characterization and understanding of metabolism that occurs on the sub-minute timescale in several diseases. While significant efforts have been made in developing applications, and in designing rapid-imaging radiofrequency (RF) and magnetic field gradient pulse sequences, very few groups have worked on implementing realistic mathematical/kinetic/relaxation models to fit the emergent data.

The critical aspects to consider when modeling DNP experiments depend on both nuclear magnetic resonance (NMR) and (bio)chemical kinetics. The former constraints are due to the relaxation of the NMR signal and the application of ‘read’ RF pulses, while the kinetic constraints include the total amount of each molecular species present. We describe the model-design strategy we have used to fit and interpret our DNP results. To our knowledge, this is the first report on a systematic analysis of DNP data.



Downloads

PDF  (1.58 MB PDF FORMAT)

RIS citation   (ENDNOTE, REFERENCE MANAGER, PROCITE, REFWORKS)

BibTex citation   (BIBDESK, LATEX)

XML

PMC HTML


Sharing


What Your Colleagues Say About Magnetic Resonance Insights
It was a pleasure to work with your editorial board.  Responses were extremely rapid and very useful.  You must be the most e-literate journal with which I have interacted, and that is many, including the big guys.  I am proud to have our  review published in Magnetic Resonance Insights.
Dr Ian CP Smith (Innovative Biodiagnostics Inc., Winnipeg, Canada)
More Testimonials

Quick Links


New article and journal news notification services
Email Alerts RSS Feeds
Facebook Google+ Twitter
Pinterest Tumblr YouTube