Aqueous two-phase systems: Towards novel and more disruptive applications
authors Pereira, JFB; Freire, MG; Coutinho, JAP
nationality International
journal FLUID PHASE EQUILIBRIA
author keywords Aqueous two-phase systems; Aqueous biphasic systems; Biotechnology; Separation; Purification; Bioanalytics; Biomaterials; Bioprinting; Micropatterning
keywords METAL-ION SEPARATIONS; IN-SITU EXTRACTION; BIPHASIC SYSTEMS; PROCESS INTEGRATION; PROTEIN SEPARATION; PROTEOMIC ANALYSIS; PHASE-SEPARATION; MICELLAR SYSTEMS; MIXER-SETTLER; RECOVERY
abstract Aqueous two-phase systems (ATPS) have been mainly proposed as powerful platforms for the separation and purification of high-value biomolecules. However, after more than seven decades of research, ATPS are still a major academic curiosity, without their wide acceptance and implementation by industry, leading to the question whether ATPS should be mainly considered in downstream bioprocessing. Recently, due to their versatility and expansion of the Biotechnology and Material Science fields, these systems have been investigated in novel applications, such as in cellular micropatterning and bioprinting, microencapsulation, to mimic cells conditions, among others. This perspective aims to be a reflection on the current status of ATPS as separation platforms, while overviewing their applications, strengths and limitations. Novel applications, advantages and bottlenecks of ATPS are further discussed, indicating some directions on their use to create innovative industrial processes and commercial products. (C) 2019 Elsevier B.V. All rights reserved.
publisher ELSEVIER
issn 0378-3812
year published 2020
volume 505
digital object identifier (doi) 10.1016/j.fluid.2019.112341
web of science category Thermodynamics; Chemistry, Physical; Engineering, Chemical
subject category Thermodynamics; Chemistry; Engineering
unique article identifier WOS:000501403500013
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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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