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Reference type: Journal
Authors: Nezhadali A, Motlagh MO, Sadeghzadeh S
Article Title: Spectrophotometric determination of fluoxetine by molecularly imprinted polypyrrole and optimization by experimental design, artificial neural network and genetic algorithm.
Publication date: 2018
Journal: Spectrochimica Acta Part A-Molecular and Biomolecular Spctroscopy
Volume: 190
Page numbers: 181-187.
DOI: 10.1016/j.saa.2017.09.021
Alternative URL: http://www.sciencedirect.com/science/article/pii/S1386142517307412

Abstract: A selective method based on molecularly imprinted polymer (MIP) solid-phase extraction (SPE) using UV-Vis spectrophotometry as a detection technique was developed for the determination of fluoxetine (FLU) in pharmaceutical and human serum samples. The MIPs were synthesized using pyrrole as a functional monomer in the presence of FLU as a template molecule. The factors that affecting the preparation and extraction ability of MIP such as amount of sorbent, initiator concentration, the amount of monomer to template ratio, uptake shaking rate, uptake time, washing buffer pH, take shaking rate, Taking time and polymerization time were considered for optimization. First a Plackett-Burman design (PBD) consists of 12 randomized runs were applied to determine the influence of each factor. The other optimization processes were performed using central composite design (CCD), artificial neural network (ANN) and genetic algorithm (GA). At optimal condition the calibration curve showed linearity over a concentration range of 10-7 - 10-8 M with a correlation coefficient (R2) of 0.9970. The limit of detection (LOD) for FLU was obtained 6.56 x 10-9 M. The repeatability of the method was obtained 1.61%. The synthesized MIP sorbent showed a good selectivity and sensitivity toward FLU. The MIP/SPE method was used for the determination of FLU in pharmaceutical, serum and plasma samples, successfully
Template and target information: fluoxetine, FLU
Author keywords: molecularly imprinted polymer, polypyrrole, artificial neural network, Genetic algorithm, UV-Vis spectrophotometry, Fluoxetine

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