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      Computational Aided-Molecular Imprinted Polymer Design for Solid Phase Extraction of Metaproterenol from Plasma and Determination by Voltammetry Using Modified Carbon Nanotube Electrode

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          Abstract

          A molecular imprinted polymer (MIP) was computationally designed and synthesized for the selective extraction of metaproterenol (MTP), from human plasma. In this regards semi empirical MP3 and mechanical quantum (DFT) calculations were used to find a suitable functional monomers. On the basis of computational and experimental results, acrylic acid (AA) and DMSO:MeOH (90:10 %V/V) were found to be the best choices of functional monomer and polymerization solvents, respectively. This polymer was then used as a selective sorbent to develop a molecularly imprinted solid-phase extraction (MISPE) procedure followed by differential pulse voltammetry by using modified carbon nanotube electrode. The analysis was performed in phosphate buffer, pH 7.0. Peak currents were measured at +0.67 V versus Ag/AgCl. The linear calibration range was 0.026–8.0 μg mL -1 with a limit of detection 0.01 μg mL -1. The relative standard deviation at 0.5 μg mL -1 was 4.76% (n =5). The mean recoveries of 5 μg mL -1 MTP from plasma was 92.2% (n=5). The data of MISPE-DPV were compared with the MISPE-HPLC-UV. Although, the MISPE-DPV was more sensitive but both techniques have similar accuracy and precision.

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          Most cited references66

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          Implicit solvent models.

          Implicit solvent models for biomolecular simulations are reviewed and their underlying statistical mechanical basis is discussed. The fundamental quantity that implicit models seek to approximate is the solute potential of mean force, which determines the statistical weight of solute conformations, and which is obtained by averaging over the solvent degrees of freedom. It is possible to express the total free energy as the reversible work performed in two successive steps. First, the solute is inserted in the solvent with zero atomic partial charges; second, the atomic partial charges of the solute are switched from zero to their full values. Consequently, the total solvation free energy corresponds to a sum of non-polar and electrostatic contributions. These two contributions are often approximated by simple geometrical models (such as solvent exposed area models) and by macroscopic continuum electrostatics, respectively. One powerful route is to approximate the average solvent density distribution around the solute, i.e. the solute-solvent density correlation functions, as in statistical mechanical integral equations. Recent progress with semi-analytical approximations makes continuum electrostatics treatments very efficient. Still more efficient are fully empirical, knowledge-based models, whose relation to explicit solvent treatments is not fully resolved, however. Continuum models that treat both solute and solvent as dielectric continua are also discussed, and the relation between the solute fluctuations and its macroscopic dielectric constant(s) clarified.
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            Implicit Solvation Models: Equilibria, Structure, Spectra, and Dynamics.

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              Nanostructuring electrodes with carbon nanotubes: A review on electrochemistry and applications for sensing

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                Author and article information

                Journal
                Iran J Pharm Res
                Iran J Pharm Res
                IJPR
                Iranian Journal of Pharmaceutical Research : IJPR
                Shaheed Beheshti University of Medical Sciences (Tehran, Iran )
                1735-0328
                1726-6890
                Spring 2014
                : 13
                : 2
                : 417-429
                Affiliations
                [a ] Nano Drug Delivery Research Center, Faculty of Pharmacy, Kermanshah Universityof Medical Sciences, Kermanshah, Iran.
                [b ] Pharmaceutical Chemistry Department, Faculty of Pharmacy, Kermanshah University of Medical Science, Kermanshah, Iran.
                Author notes
                [* ]Corresponding author: E-mail: fahmadi@kums.ac.ir
                Article
                ijpr-13-417
                4157017
                25237337
                d4002463-bf7a-417b-9553-9823a70b75a1
                © 2014 by School of Pharmacy, Shaheed Beheshti University of Medical Sciences and Health Services

                This is an Open Access article distributed under the terms of the Creative Commons Attribution License, ( http://creativecommons.org/licenses/by/3.0/) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : July 2012
                : March 2014
                Categories
                Original Article

                doping control,metaproterenol,computational molecular modeling,molecularly imprinted polymer,modified carbon nano tube electrode

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