Study of the partition of sodium diclofenac and norfloxacin in aqueous two-phase systems based on copolymers and dextran
authors Ahsaie, FG; Pazuki, G; Sintra, TE; Carvalho, P; Ventura, SPM
nationality International
journal FLUID PHASE EQUILIBRIA
author keywords Aqueous two-phase systems; dextran; copolymers; partition; norfloxacin; sodium diclofenac
keywords BLOCK-COPOLYMERS; PHASE-EQUILIBRIUM; TRIBLOCK COPOLYMER; BIPHASIC SYSTEMS; GREEN SEPARATION; IN-VIVO; PURIFICATION; WATER; TEMPERATURE; EXTRACTION
abstract The partitioning behavior of norfloxacin (more hydrophilic) and sodium diclofenac (more hydrophobic) was studied considering the use of aqueous two-phase systems (ATPSs) based in copolymers and dextran. For this research, the phase behavior of systems composed of water, a copolymer (Pluronic PE6400, Pluronic L35, Pluronic PE6800, PEG-ran-PPG monobutyl ether and PEG-ran-PPG) and dextran (Mw=40000 and 6000 g.mol(-1)) were investigated. The phase diagrams showed that by increasing the molecular weight and the copolymer PPG/PEG ratio, the biphasic region is enlarged. After defining the bionodal curves, a preliminary screening on the partition of two pharmaceutic ingredients (sodium diclofenac and norfloxacin) was carried. After selected the most appropriate ATPS for the partition of both drugs, namely systems based on diblock copolymers (poly(ethylene glycol)-poly(propylene glycol)) - dextran T6 and one random copolymer (poly(ethylene glycol)-ran-poly(propylene glycol)) - dextran T6, the effect of the copolymer concentration and different mixture points was assessed. In the end, the results showed that by increasing the copolymer concentration and tie-line length, the partition coefficient of the pharmaceutical ingredients increased in the block copolymer-based ATPS and decreased in systems containing the random copolymer. (C) 2020 Elsevier B.V. All rights reserved.
publisher ELSEVIER
issn 0378-3812
isbn 1879-0224
year published 2021
volume 530
digital object identifier (doi) 10.1016/j.fluid.2020.112868
web of science category 8
subject category Thermodynamics; Chemistry, Physical; Engineering, Chemical
unique article identifier WOS:000599939800001
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journal analysis (jcr 2019):
journal impact factor 2.838
5 year journal impact factor 2.454
category normalized journal impact factor percentile 61.717
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