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Insights into the nature of eutectic and deep eutectic mixtures

dc.contributor.authorMartins, Mónia A.R.
dc.contributor.authorPinho, Simão
dc.contributor.authorCoutinho, João A.P.
dc.date.accessioned2018-02-19T10:00:00Z
dc.date.accessioned2019-01-28T11:55:19Z
dc.date.available2018-01-19T10:00:00Z
dc.date.available2019-01-28T11:55:19Z
dc.date.issued2018
dc.description.abstractA stricter definition of a deep eutectic solvent (DES) is urgent, so that it may become a sound basis for further developments in this field. This communication aims at contributing to deepening the understanding of eutectic and deep eutectic mixtures concerning their definition, thermodynamic nature and modelling. The glut of literature on DES applications should be followed by a similar effort to address the fundamental questions on their nature. This hopefully would contribute to correct some widespread misconceptions, and help to establish a stringent definition of what a DES is. DES are eutectic mixtures for which the eutectic point temperature should be lower to that of an ideal liquid mixture. To identify and characterize them, their phase diagrams should be known, in order to compare the real temperature depression to that predicted if ideality is assumed, and to define composition ranges for which they are in the liquid state at operating temperatures. It is also shown that hydrogen bonding between the DES components should not be used to define or characterize a DES, since this would describe many ideal mixtures. The future of deep eutectic solvents is quite promising, and we expect that this work will contribute to the efficient design and selection of the best DES for a given application, and to model properties and phase equilibria without which the process design is impractical.
dc.description.sponsorshipThis work was developed in the scope of the Project CICECO – Aveiro Institute of Materials, POCI-01-0145-FEDER-007679 (Ref. FCT UID/CTM/50011/2013) and Associate Laboratory LSRE-LCM, POCI-01-0145-FEDER-006984 (Ref. FCT UID/EQU/50020/2013), both financed by national funds through the FCT/MEC and when appropriate co-financed by FEDER under the PT2020 Partnership Agreement. This work is also a result of Project “AIProcMat@N2020 - Advanced Industrial Processes and Materials for a Sustainable Northern Region of Portugal 2020”, with the reference NORTE-01-0145- FEDER-000006, supported by Norte Portugal Regional Operational Programme (NORTE 2020), under the Portugal 2020 Partnership Agreement, through the European Regional Development Fund (ERDF). FCT is also acknowledged for funding the project DeepB
dc.description.versioninfo:eu-repo/semantics/publishedVersionen_EN
dc.identifier.citationMartins, Mónia A.R.; Pinho, Simão P.; Coutinho, João A.P. (2018. Insights into the Nature of Eutectic and Deep Eutectic Mixtures. Journal of Solution Chemistry. ISSN 0095-9782. p. 1-21en_EN
dc.identifier.doi10.1007/s10953-018-0793-1en_EN
dc.identifier.issn0095-9782
dc.identifier.urihttp://hdl.handle.net/10198/18580
dc.language.isoeng
dc.peerreviewedyesen_EN
dc.subjectDeep eutectic solventsen_EN
dc.subjectDefinitionsen_EN
dc.subjectEutectic mixturesen_EN
dc.subjectModellingen_EN
dc.subjectSolid–liquid equilibriaen_EN
dc.titleInsights into the nature of eutectic and deep eutectic mixturesen_EN
dc.typejournal article
dspace.entity.typePublication
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/5876/UID%2FCTM%2F50011%2F2013/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/5876/UID%2FEQU%2F50020%2F2013/PT
oaire.fundingStream5876
oaire.fundingStream5876
person.familyNamePinho
person.givenNameSimão
person.identifier810882
person.identifier.ciencia-id481D-73AD-8D0F
person.identifier.orcid0000-0002-9211-857X
person.identifier.ridD-4148-2013
person.identifier.scopus-author-id7003570175
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsopenAccessen_EN
rcaap.typearticleen_EN
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relation.isAuthorOfPublication.latestForDiscovery8ef7789a-34f3-4915-a666-4efe26272a30
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