Partitioning of nitroxides in dispersed systems investigated by ultrafiltration, EPR and NMR spectroscopy

Krudopp, Heimke, Sönnichsen, Frank and Steffen-Heins, Anja (2015) Partitioning of nitroxides in dispersed systems investigated by ultrafiltration, EPR and NMR spectroscopy Journal of Colloid and Interface Science, 452 . pp. 15-23.

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Abstract

Hypothesis: The partitioning behavior of paramagnetic nitroxides in dispersed systems can be determined by deconvolution of electron paramagnetic resonance (EPR) spectra giving equivalent results with the validated methods of ultrafiltration techniques (UF) and pulsed-field gradient nuclear magnetic resonance spectroscopy (PFG-NMR). Experiments: The partitioning behavior of nitroxides with increasing lipophilicity was investigated in anionic, cationic and nonionic micellar systems and 10 wt% o/w emulsions. Apart from EPR spectra deconvolution, the PFG-NMR was used in micellar solutions as a non-destructive approach, while UF based on separation of very small volume of the aqueous phase. Findings: As a function of their substituent and lipophilicity, the proportions of nitroxides that were solubilized in the micellar or emulsion interface increased with increasing nitroxide lipophilicity for all emulsifier used. Comparing the different approaches, EPR deconvolution and UF revealed comparable nitroxide proportions that were solubilized in the interfaces. Those proportions were higher than found with PFG-NMR. For PFG-NMR self-diffusion experiments the reduced nitroxides were used revealing a high dynamic of hydroxylamines and emulsifiers. Deconvolution of EPR spectra turned out to be the preferred method for measuring the partitioning behavior of paramagnetic molecules as it enables distinguishing between several populations at their individual solubilization sites. (C) 2015 Elsevier Inc. All rights reserved.

Document Type: Article
Research affiliation: Kiel University > Kiel Marine Science
OceanRep > The Future Ocean - Cluster of Excellence
Kiel University
Refereed: Yes
ISSN: 0021-9797
Projects: Future Ocean
Date Deposited: 18 Oct 2016 03:45
Last Modified: 11 Apr 2018 11:26
URI: http://eprints.uni-kiel.de/id/eprint/32560

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