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dc.contributor.authorHyttinen, Noora
dc.date.accessioned2023-04-19T09:07:45Z
dc.date.available2023-04-19T09:07:45Z
dc.date.issued2023
dc.identifier.citationHyttinen, N. (2023). Predicting liquid–liquid phase separation in ternary organic–organic–water mixtures. <i>Physical Chemistry Chemical Physics</i>, <i>25</i>(16), 11121-11129. <a href="https://doi.org/10.1039/D3CP00691C" target="_blank">https://doi.org/10.1039/D3CP00691C</a>
dc.identifier.otherCONVID_182782926
dc.identifier.urihttps://jyx.jyu.fi/handle/123456789/86423
dc.description.abstractLiquid–liquid phase separation (LLPS) affects the water uptake of aerosol particles in the atmosphere through Kelvin and Raoult effects. This study investigates LLPS in ternary mixtures containing water and two organic compounds, using a conductor-like screening model for real solvents (COSMO-RS). COSMO-RS found LLPS in all of the studied mixtures containing water and proxies for primary and secondary organic aerosol (POA and SOA, respectively), due to the limited solubility of the hydrophobic POA proxies in water. The computations predict additional three-phase states in some of the SOA–POA–water mixtures at relative humidity (RH) close to 100%, which was not observed in experiments, likely due to the relatively low RH (90%) used in the experiments. A computational method, such as COSMO-RS, allows for the estimation of new information on mixing states and mixtures that cannot be accessed experimentally. Comparison with experiments can also provide insight into which types of compounds may be present in SOA. Additionally, the possibility of LLPS can be assessed faster with rough estimates rather than by computing the whole phase diagram.en
dc.format.mimetypeapplication/pdf
dc.language.isoeng
dc.publisherRoyal Society of Chemistry (RSC)
dc.relation.ispartofseriesPhysical Chemistry Chemical Physics
dc.rightsCC BY 3.0
dc.titlePredicting liquid–liquid phase separation in ternary organic–organic–water mixtures
dc.typeresearch article
dc.identifier.urnURN:NBN:fi:jyu-202304192543
dc.contributor.laitosKemian laitosfi
dc.contributor.laitosDepartment of Chemistryen
dc.contributor.oppiaineNanoscience Centerfi
dc.contributor.oppiaineNanoscience Centeren
dc.type.urihttp://purl.org/eprint/type/JournalArticle
dc.type.coarhttp://purl.org/coar/resource_type/c_2df8fbb1
dc.description.reviewstatuspeerReviewed
dc.format.pagerange11121-11129
dc.relation.issn1463-9076
dc.relation.numberinseries16
dc.relation.volume25
dc.type.versionpublishedVersion
dc.rights.copyright© 2023 the Owner Societies
dc.rights.accesslevelopenAccessfi
dc.type.publicationarticle
dc.relation.grantnumber338171
dc.subject.ysoseokset
dc.subject.ysoaerosolit
dc.subject.ysovesi
dc.subject.ysoorgaaniset yhdisteet
dc.format.contentfulltext
jyx.subject.urihttp://www.yso.fi/onto/yso/p13887
jyx.subject.urihttp://www.yso.fi/onto/yso/p9802
jyx.subject.urihttp://www.yso.fi/onto/yso/p3792
jyx.subject.urihttp://www.yso.fi/onto/yso/p3841
dc.rights.urlhttps://creativecommons.org/licenses/by/3.0/
dc.relation.doi10.1039/D3CP00691C
dc.relation.funderResearch Council of Finlanden
dc.relation.funderSuomen Akatemiafi
jyx.fundingprogramPostdoctoral Researcher, AoFen
jyx.fundingprogramTutkijatohtori, SAfi
jyx.fundinginformationThe Academy of Finland, Grant No. 338171, is gratefully acknowledged for the financial contribution, and the CSC - IT Center for Science, Finland, for computational resources.
dc.type.okmA1


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