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dc.contributor.authorRequejo, Patricia F.
dc.contributor.authorGómez, Elena
dc.contributor.authorMacedo, Eugénia A.
dc.date.accessioned2024-02-03T11:37:25Z
dc.date.available2024-02-03T11:37:25Z
dc.date.issued2019
dc.identifier.citationJournal of Chemical & Engineering Data 2019, vol. 64, p. 4733-4740es
dc.identifier.issn0021-9568es
dc.identifier.urihttps://uvadoc.uva.es/handle/10324/65634
dc.descriptionProducción Científicaes
dc.description.abstractIn this work, the partitioning of four N-(2,4- dinitrophenyl)-amino acids (DNP-L-leucine, DNP-L-valine, DNP-L-alanine, and DNP-glycine) in aqueous two-phase systems (ATPS) containing a new biodegradable ionic liquid cholinium alaninate, [Ch][Ala], and the inorganic salts K3PO4 and K2HPO4 was determined at T = 298.15 K and p = 101.3 kPa. The influence of the salt on the partition coefficients was discussed. The distribution coefficients (K) of the four studied DNP-amino acids are higher in the ATPS containing the inorganic salt K3PO4. Moreover, the experimental LLE data obtained for both ATPS {[Ch][Ala] (1) + K3PO4 or K2HPO4 (2) + water (3)} (previously reported) were represented using the nonrandom two-liquid thermodynamic model. Finally, a comparison of the distribution coefficients presented in this work and those found in literature for the four studied DNP-amino acids on different ATPS was performed.es
dc.format.mimetypeapplication/pdfes
dc.language.isoenges
dc.publisherAmerican Chemical Societyes
dc.rights.accessRightsinfo:eu-repo/semantics/restrictedAccesses
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subject.classificationATPSes
dc.subject.classificationIonic liquides
dc.subject.classificationNRTL modeles
dc.subject.classificationDNP-amino acidses
dc.titlePartitioning of DNP-Amino Acids in New Biodegradable Choline Amino Acid/Ionic Liquid-Based Aqueous Two-Phase Systemses
dc.typeinfo:eu-repo/semantics/articlees
dc.rights.holderAmerican Chemical Societyes
dc.identifier.doi10.1021/acs.jced.9b00052es
dc.relation.publisherversionhttps://pubs.acs.org/doi/10.1021/acs.jced.9b00052es
dc.identifier.publicationfirstpage4733es
dc.identifier.publicationissue11es
dc.identifier.publicationlastpage4740es
dc.identifier.publicationtitleJournal of Chemical & Engineering Dataes
dc.identifier.publicationvolume64es
dc.peerreviewedSIes
dc.description.projectThis work is a result of project AIProcMat@N2020 - Advanced Industrial Processes and Materials for a Sustainable Northern Region of Portugal 2020: NORTE-01-0145-FEDER-000006, NORTE-2020-ERDF-LSRE-LCM-UID/EQU/50020/2019 FCT/MCTES (PIDDAC), FEDER Grant AIProcMat@ N2020-0145-FEDER-006984 Grant CEECIND/02646/2017 and Xunta de Galicia Grant ED481B-2017/019.es
dc.identifier.essn1520-5134es
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.type.hasVersioninfo:eu-repo/semantics/publishedVersiones


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