title: Fast and accurate quantification using Genetic Algorithm optimized 1H-13C refocused constant-time INEPT.
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.
authors.affiliation: Department of Physics and NMR Research Centre, Indian Institute of Science, Bangalore 560 012, India. manumind@gmail.com
authors.forename: V S
authors.initials: VS
authors.lastname: Manu
authors.forename: Anil
authors.initials: A
authors.lastname: Kumar
mesh_terms: D000465:Algorithms; D002247:Carbon Isotopes; D009682:Magnetic Resonance Spectroscopy / Q000379:methods*; D009930:Organic Chemicals / Q000737:chemistry; D011522:Protons; D013269:Stochastic Processes
chemical_list: D002247:Carbon Isotopes; D009930:Organic Chemicals; D011522:Protons
keywords: Genetic Algorithm; Quantification; Refocused-INEPT; Spectral simplification