authors |
Sousa, RDS; Neves, CMSS; Pereira, MM; Freire, MG; Coutinho, JAP |
nationality |
International |
journal |
JOURNAL OF CHEMICAL TECHNOLOGY AND BIOTECHNOLOGY |
author keywords |
aqueous two-phase systems; levodopa; amino acids; extraction; separation; ionic liquids |
keywords |
IONIC LIQUIDS; BIPHASIC SYSTEMS; MUCUNA-PRURIENS; EXTRACTION; QUANTIFICATION; ADJUVANTS; DISEASE; SEEDS; WATER; RAT |
abstract |
BACKGROUNDLevodopa is a precursor of several neurotransmitters, such as dopamine, and is used in the treatment of Parkinson's disease. In this work, an alternative strategy was studied to separate levodopa from similar biomolecules using aqueous two-phase systems (ATPS). RESULTSTernary ATPS composed of polyethylene glycol (PEG) 400 or ionic liquids (ILs), citrate buffer (K3C6H5O7/C6H8O7) at pH 7.0 and water, and quaternary ATPS composed of PEG 400, K3C6H5O7/C6H8O7 at pH 7.0, water and the same ILs at 5 wt%, were studied. The respective liquid-liquid phase diagrams were determined at 298 K to appraise the mixture compositions required to form two-phase systems, followed by studies of the partition of levodopa and structurally similar biomolecules (dopamine, L-phenylalanine, and L-tyrosine). Their partition coefficients and extraction efficiencies have been determined, and the selectivity of the ATPS to separate levodopa from the remaining biomolecules evaluated. CONCLUSIONThe results obtained indicated that PEG-based ATPS were the most effective to separate levodopa from L-phenylalanine while the separation from the other biomolecules was better using IL-based ATPS, in particular those based on [P-4444]Cl and [N-4444]Cl, with extraction efficiencies of levodopa to the salt-rich phase ranging between 62.7 and 74.0%, and of the remaining biomolecules to polymer/IL-rich phase up to 91.5%. (c) 2017 Society of Chemical Industry |
publisher |
WILEY |
issn |
0268-2575 |
year published |
2018 |
volume |
93 |
issue |
7 |
beginning page |
1940 |
ending page |
1947 |
digital object identifier (doi) |
10.1002/jctb.5553 |
web of science category |
Biotechnology & Applied Microbiology; Chemistry, Multidisciplinary; Engineering, Environmental; Engineering, Chemical |
subject category |
Biotechnology & Applied Microbiology; Chemistry; Engineering |
unique article identifier |
WOS:000435087800014
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ciceco authors
impact metrics
journal analysis (jcr 2019):
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journal impact factor |
2.75 |
5 year journal impact factor |
2.857 |
category normalized journal impact factor percentile |
53.374 |
dimensions (citation analysis):
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altmetrics (social interaction):
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