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dc.contributor.authorJouybanGharamaleki, A
dc.contributor.authorHanaee, J
dc.date.accessioned2018-08-26T08:31:40Z
dc.date.available2018-08-26T08:31:40Z
dc.date.issued1997
dc.identifier.urihttp://dspace.tbzmed.ac.ir:8080/xmlui/handle/123456789/52185
dc.description.abstractA new method for obtaining the model constants of the combined nearly ideal binary solvent/Redlich-Kister (CNIBS/R-K) equation, via least square analysis has been presented. Predictability of CNIBS/R-K in a previous method and the new one of least square analysis has been compared using some experimental solubility data sets. The results have indicated that the new method improved the predictability of the CNIBS/R-K equation about 63%. (C) 1997 Elsevier Science B.V.
dc.language.isoEnglish
dc.relation.ispartofINTERNATIONAL JOURNAL OF PHARMACEUTICS
dc.subjectsolubility
dc.subjectcosolvency
dc.subjectcombined nearly ideal binary solvent Redlich-Kister
dc.subjectleast square analysis
dc.titleA novel method for improvement of predictability of the CNIBS/R-K equation
dc.typeArticle
dc.citation.volume154
dc.citation.issue2
dc.citation.spage245
dc.citation.epage247
dc.citation.indexWeb of science
dc.identifier.DOIhttps://doi.org/10.1016/S0378-5173(97)00136-1


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