Abstract
Using Genetic Algorithm, a global optimization method inspired by nature's evolutionary process, we have improved the quantitative refocused constant-time INEPT experiment (Q-INEPT-CT) of Mäkelä et al. (JMR 204 (2010) 124-130) with various optimization constraints. The improved 'average polarization transfer' and 'min-max difference' of new delay sets effectively reduces the experimental time by a factor of two (compared with Q-INEPT-CT, Mäkelä et al.) without compromising on accuracy. We also discuss a quantitative spectral editing technique based on average polarization transfer.
Original language | English (US) |
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Pages (from-to) | 106-111 |
Number of pages | 6 |
Journal | Journal of Magnetic Resonance |
Volume | 234 |
DOIs | |
State | Published - 2013 |
Externally published | Yes |
Bibliographical note
Funding Information:We thank NMR Research Centre, Indian Institute of Science for the use of AV-500 NMR spectrometer. VSM and AK respectively thank UGC and National Academy of Sciences, India for fellowship support.
Keywords
- Genetic Algorithm
- Quantification
- Refocused-INEPT
- Spectral simplification