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Formula weight prediction by internal reference diffusion-ordered NMR spectroscopy (DOSY).


ABSTRACT: Formula weight (FW) information is important to characterize the composition, aggregation number, and solvation state of reactive intermediates and organometallic complexes. We describe an internal reference correlated DOSY method for calculating the FW of unknown species in different solvents with different concentrations. Examples for both the small molecule (DIPA) and the organometallic complex (aggregate 1) yield excellent correlations. We also found the relative diffusion rate is inversely proportional to the viscosity change of the solution, which is consistent with the theoretical Stokes-Einstein equation. The accuracy of the least-squares linear prediction r(2) and the percentage difference of FW prediction are directly related to the density change; greater accuracy was observed with decreasing density. We also discuss the guidelines and other factors for successful application of this internal reference correlated DOSY method. This practical method can be conveniently modified and applied to the characterization of other unknown molecules or complexes.

SUBMITTER: Li D 

PROVIDER: S-EPMC2888872 | biostudies-literature | 2009 Apr

REPOSITORIES: biostudies-literature

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Formula weight prediction by internal reference diffusion-ordered NMR spectroscopy (DOSY).

Li Deyu D   Kagan Gerald G   Hopson Russell R   Williard Paul G PG  

Journal of the American Chemical Society 20090401 15


Formula weight (FW) information is important to characterize the composition, aggregation number, and solvation state of reactive intermediates and organometallic complexes. We describe an internal reference correlated DOSY method for calculating the FW of unknown species in different solvents with different concentrations. Examples for both the small molecule (DIPA) and the organometallic complex (aggregate 1) yield excellent correlations. We also found the relative diffusion rate is inversely  ...[more]

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