Partitioning of water-soluble vitamins in biodegradable aqueous two-phase systems

dc.contributor.authorWysoczanska, Kamila
dc.contributor.authorDo, Hoang Tam
dc.contributor.authorSadowski, Gabriele
dc.contributor.authorMacedo, Eugénia A.
dc.contributor.authorHeld, Christoph
dc.date.accessioned2021-07-19T11:22:28Z
dc.date.available2021-07-19T11:22:28Z
dc.date.issued2020-07-14
dc.description.abstractPartition coefficients (K) of vitamins (riboflavin, nicotinic acid, nicotinamide, folic acid, cyanocobalamin) in aqueous two-phase systems (ATPS) composed by polyethylene glycol (PEG 4000, PEG 6000) and organic salt (sodium citrate and sodium tartrate) at T = 298.15 K and p = 1 bar have been studied. Data on liquid–liquid equilibria of the ATPS considered in this study have been taken from the literature (PEG-Na3Citrate) or measured in this work (PEG-Na2Tartrate) for PEG 4000 and PEG 6000 at T = 298.15 K and p = 1 bar. The experimental K values were validated by electrolyte perturbed-chain-statistical associating fluid theory predictions. The neutral cyanocobalamin has the highest K values among all studied vitamins at any ATPS studied in this work. This finding contrasted with expectations based on literature data which let assume that charged species have typically the highest K values in the considered ATPS. Thus, besides the typically strong charge–charge interactions especially specific forces (e.g., hydrogen bonding) explains the strong PEG-cyanocobalamin interaction resulting in the high K values.en
dc.identifier.urihttp://hdl.handle.net/2003/40329
dc.identifier.urihttp://dx.doi.org/10.17877/DE290R-22204
dc.language.isoende
dc.relation.ispartofseriesAIChE Journal;Vol. 66. 2020, Issue 10, Art. e16984
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectCitrateen
dc.subjectPartition coefficienten
dc.subjectPEGen
dc.subjectTartrateen
dc.subjectWeak electrolytesen
dc.subject.ddc660
dc.titlePartitioning of water-soluble vitamins in biodegradable aqueous two-phase systemsen
dc.title.alternativeelectrolyte perturbed-chain statistical associating fluid theory predictions and experimental validationen
dc.typeTextde
dc.type.publicationtypearticlede
dcterms.accessRightsopen access
eldorado.secondarypublicationtruede
eldorado.secondarypublication.primarycitationAIChE Journal. Vol. 66. 2020, Issue 10, Art. e16984de
eldorado.secondarypublication.primaryidentifierhttps://doi.org/10.1002/aic.16984de

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