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dc.contributor.author | Requejo, Patricia F. | |
dc.contributor.author | Gómez, Elena | |
dc.contributor.author | Macedo, Eugénia A. | |
dc.date.accessioned | 2024-02-03T11:37:25Z | |
dc.date.available | 2024-02-03T11:37:25Z | |
dc.date.issued | 2019 | |
dc.identifier.citation | Journal of Chemical & Engineering Data 2019, vol. 64, p. 4733-4740 | es |
dc.identifier.issn | 0021-9568 | es |
dc.identifier.uri | https://uvadoc.uva.es/handle/10324/65634 | |
dc.description | Producción Científica | es |
dc.description.abstract | In 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.mimetype | application/pdf | es |
dc.language.iso | eng | es |
dc.publisher | American Chemical Society | es |
dc.rights.accessRights | info:eu-repo/semantics/restrictedAccess | es |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.subject.classification | ATPS | es |
dc.subject.classification | Ionic liquid | es |
dc.subject.classification | NRTL model | es |
dc.subject.classification | DNP-amino acids | es |
dc.title | Partitioning of DNP-Amino Acids in New Biodegradable Choline Amino Acid/Ionic Liquid-Based Aqueous Two-Phase Systems | es |
dc.type | info:eu-repo/semantics/article | es |
dc.rights.holder | American Chemical Society | es |
dc.identifier.doi | 10.1021/acs.jced.9b00052 | es |
dc.relation.publisherversion | https://pubs.acs.org/doi/10.1021/acs.jced.9b00052 | es |
dc.identifier.publicationfirstpage | 4733 | es |
dc.identifier.publicationissue | 11 | es |
dc.identifier.publicationlastpage | 4740 | es |
dc.identifier.publicationtitle | Journal of Chemical & Engineering Data | es |
dc.identifier.publicationvolume | 64 | es |
dc.peerreviewed | SI | es |
dc.description.project | This 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.essn | 1520-5134 | es |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internacional | * |
dc.type.hasVersion | info:eu-repo/semantics/publishedVersion | es |
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