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(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

Matrix-assisted diffusion-ordered spectroscopy: mixture resolution by NMR using SDS micelles

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Tormena, Claudio F. [1, 2] ; Evans, Robert [1] ; Haiber, Stephan [3] ; Nilsson, Mathias [1] ; Morris, Gareth A. [1]
Total Authors: 5
[1] Univ Manchester, Sch Chem, Manchester M13 9PL, Lancs - England
[2] Univ Estadual Campinas, Inst Chem, BR-13094971 Sao Paulo - Brazil
[3] Givaudan, Dept Analyt Res, NL-1411 GP Naarden - Netherlands
Total Affiliations: 3
Document type: Journal article
Source: Magnetic Resonance in Chemistry; v. 48, n. 7, p. 550-553, JUL 2010.
Web of Science Citations: 59

Diffusion-ordered spectroscopy (DOSY) is a powerful technique for mixture analysis, but in its basic form it cannot separate the component spectra for species with very similar diffusion coefficients. It has been recently demonstrated that the component spectra of a mixture of isomers with nearly identical diffusion coefficients (the three dihydroxybenzenes) can be resolved using matrix-assisted DOSY (MAD), in which diffusion is perturbed by the addition of a co-solute such as a surfactant {[}R. Evans, S. Haiber, M. Nilsson, G. A. Morris, Anal. Chem. 2009, 81, 4548-4550]. However, little is known about the conditions required for such a separation, for example, the concentrations and concentration ratios of surfactant and solutes. The aim of this study was to explore the concentration range over which matrix-assisted DOSY using the surfactant SDS can achieve diffusion resolution of a simple model set of isomers, the monomethoxyphenols. The results show that the separation is remarkably robust with respect to both the concentrations and the concentration ratios of surfactant and solutes, supporting the idea that MAD may become a valuable tool for mixture analysis. Copyright (C) 2010 John Wiley \& Sons, Ltd. (AU)

FAPESP's process: 09/02736-9 - Application of diffusion techniques to separate the NMR spectra of complex mixtures
Grantee:Claudio Francisco Tormena
Support type: Scholarships abroad - New Frontiers