<?xml version="1.0" encoding="UTF-8"?>
<collection>
<dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:invenio="http://invenio-software.org/elements/1.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>doi:10.1016/j.cej.2022.137253</dc:identifier><dc:language>eng</dc:language><dc:creator>López-Porfiri, P.</dc:creator><dc:creator>González-Miquel, M.</dc:creator><dc:creator>Gorgojo Alonso, P.</dc:creator><dc:title>Green supported liquid membranes: The permeability activity-based linear operation (PABLO) method</dc:title><dc:identifier>ART-2022-129609</dc:identifier><dc:description>Supported liquid membranes (SLMs) containing novel green solvents are proposed as a sustainable alternative separation process in the recovery of biomolecules. In this work, succinic acid has been successfully extracted from model fermentation broths through a stripping phase-facilitated transport mechanism with four different green supported liquid membranes: two eutectic solvents (DL-menthol:OctA and N4444Cl:OctA), the bio-based solvent eucalyptol and the ionic liquid C4pyrr]Tf2N]. A permeability activity-based model that takes into account for the first time solute-phase affinities has been developed using the quantum chemical COSMO-RS method; the model corrects the mass transfer driving force and allows extraction predictions beyond the concentration equilibrium. The best recovery has been achieved experimentally for the eucalyptol-based SLM (concentration factor of 1.4) using an alkaline aqueous solution (0.5 M NaOH) as the stripping phase. A countercurrent cascade extraction process design is proposed, and a graphical method to determine the stage number, interstage concentrations as well as mass transfer area requirements is presented. This new tool, the Permeability Activity-Based Linear Operation (PABLO) method, will substantially enhance the process design of SLMs technology for the biorefinery industry.</dc:description><dc:date>2022</dc:date><dc:source>http://zaguan.unizar.es/record/118213</dc:source><dc:doi>10.1016/j.cej.2022.137253</dc:doi><dc:identifier>http://zaguan.unizar.es/record/118213</dc:identifier><dc:identifier>oai:zaguan.unizar.es:118213</dc:identifier><dc:relation>info:eu-repo/grantAgreement/ES/MICINN/RYC2019-027060-I</dc:relation><dc:identifier.citation>Chemical Engineering Journal 446, 3 (2022), 137253 [11 pp]</dc:identifier.citation><dc:rights>by-nc</dc:rights><dc:rights>http://creativecommons.org/licenses/by-nc/3.0/es/</dc:rights><dc:rights>info:eu-repo/semantics/openAccess</dc:rights></dc:dc>

</collection>