Predictive models for γ∞

Research output: Contribution to conferencePoster

12 Downloads (Pure)


The γ∞is an important selection parameter for affinity separations. For i.a. prediction of extraction -and extractive distillation selectivities and potential azeotropes. Several models from different backgrounds have been compared for their ability to predicts γ∞ of (a)polar solutes in (a)polar solvents.
Original languageEnglish
Publication statusPublished - 3 Apr 2018
Event15th Netherlands Process Technology Symposium 2018 - University of Twente, Enschede, Netherlands
Duration: 30 May 201831 May 2018
Conference number: 2018


Conference15th Netherlands Process Technology Symposium 2018
Abbreviated titleNPS 2018

Fingerprint Dive into the research topics of 'Predictive models for γ∞'. Together they form a unique fingerprint.

  • Cite this

    Brouwer, T., & Schuur, B. (2018). Predictive models for γ∞. Poster session presented at 15th Netherlands Process Technology Symposium 2018, Enschede, Netherlands.