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Reference type: Abstract
Authors: Aziz ASA, Rozali NA
Publication date: 2018
Article title: Synthesis and Characterization of Pyrogallol-Imprinted Polymers via Bulk Polymerization
Source: Research Communication in Engineering Science & Technology
Volume: 1
Issue: (0)

Abstract: Molecularly imprinted polymers (MIPs) have remained as the supreme convenient and selected methods in recognition and extraction for various kinds of specific targets molecule in different fields. MIPs were prepared by mixing template molecule with functional monomer in the existence of cross-linker, porogen and initiator. The selectivity of MIPs is intensely influenced by the sorts of functional monomer, porogen and polymerization method used. The main purpose of this project is Pyrogallol-imprinted polymer (Py-IP) and non- imprinted polymer (NIP) were synthesized via bulk precipitation polymerization technique consuming methyl methacrylate (MMA), ethylene glycol dimethacrylate (EGDMA), azobisisobutyronitrile (AIBN), and acetonitrile as functional monomer, cross-linker, initiator, and porogen respectively. Pyrogallol was used as a target molecule. The synthesized polymers were characterized by Fourier Transform Infrared Spectroscopy (FTIR), Thermal Gravimetry Analysis (TGA), Scanning Electron Microscopy (SEM), and UV-Visible Spectroscopy (UV-Vis). The dosage and contact time were studied to adsorption capability of Py-IP and NIP. The result showed that maximum adsorption capability by Py-IP was 71% and 49% for NIP, which shows that Py-IP has a good selectivity towards pyrogallol. It took 8 mg of Py-IP and NIP to reach the maximum adsorption and the optimum contact time was 150 min. Results showed that NIP and Py-IP obeys Freundlich and Langmuir isotherm models, respectively. In order to analyze the sorption kinetics of NIP and Py-IP, two kinetic models were applied; pseudo-first order and pseudo-second order. Samples of NIP and Py-IP were found to obey pseudo-second order, indicating the rate-limiting step is the surface adsorption. In general, Py-IP showed more selectivity than NIP
Template and target information: pyrogallol, Py
Author keywords:

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