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Title | Metabolic Fingerprinting of Rat Serum by Nano-baskets and ELM – NMR |
Authors |
Mokhtari, B.
Pourabdollah, K. |
ORCID | |
Keywords |
Nano-baskets Metabolomics Calix[4]-1,3-crown Emulsion Liquid Membranes |
Type | Conference Papers |
Date of Issue | 2012 |
URI | http://essuir.sumdu.edu.ua/handle/123456789/34968 |
Publisher | Sumy State University |
License | Copyright not evaluated |
Citation | Mokhtari, B. Metabolic Fingerprinting of Rat Serum by Nano-baskets and ELM – NMR / B. Mokhtari, K. Pourabdollah // Nanomaterials: Applications & Properties (NAP-2012) : 2-nd International conference, Alushta, the Crimea, September 17-22, 2012 / Edited by: A. Pogrebnjak. - Sumy : Sumy State University, 2012. - V. 1, No2. - 02NNBM08 |
Abstract |
A novel approach for metabolite extraction and fingerprinting was introduced base upon the emulsion
liquid membrane-nuclear magnetic resonance (ELM – NMR) technique. The objective of this method is optimizing
the fingerprints, minimizing the metabolic variation from analysis, increasing the likelihood differences,
and obtaining the maximum extraction yield. Low molecular weight metabolites in rat serum
were recovered by ELMs using four nano-baskets of calix [4]-1,3-crowns as emulsifier and carrier. The
yields of ELMs were optimized by the method of once at a time. According to the NMR data, the maximum
metabolic variation was achieved using scaffold 4 (4 wt %), n-decane membrane, stirring rate of 300 rpm,
treat and phase ratios of 0.3 and 0.8, respectively. According to the NMR data, the results revealed that calixcrowns
1-3 tend to extract non-specific macromolecules and the repeatability of fingerprints for 4-
mediated ELM was more than three others. The yield of extractions was obtained to be higher for n-decane
and lower for carbon tetrachloride. Using different membrane types, the fingerprints by chlorinated liquid
membranes were more repeatable than toluene or n-decane.
When you are citing the document, use the following link http://essuir.sumdu.edu.ua/handle/123456789/34968 |
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