Temperature‐dependent vapor-liquid equilibria and solvation free energy estimation from minimal data

We present a new strategy to estimate the temperature‐dependent vapor-liquid equilibria and solvation free energies of dilute neutral molecules based on only their estimated solvation energy and enthalpy at 298 K. These two pieces of information coupled with matching conditions between the functiona...

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Bibliographic Details
Main Authors: Chung, Yunsie (Author), Gillis, Ryan J. (Author), Green Jr, William H (Author)
Other Authors: Massachusetts Institute of Technology. Department of Chemical Engineering (Contributor)
Format: Article
Language:English
Published: Wiley, 2020-06-02T18:32:07Z.
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Online Access:Get fulltext
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100 1 0 |a Chung, Yunsie  |e author 
100 1 0 |a Massachusetts Institute of Technology. Department of Chemical Engineering  |e contributor 
700 1 0 |a Gillis, Ryan J.  |e author 
700 1 0 |a Green Jr, William H  |e author 
245 0 0 |a Temperature‐dependent vapor-liquid equilibria and solvation free energy estimation from minimal data 
260 |b Wiley,   |c 2020-06-02T18:32:07Z. 
856 |z Get fulltext  |u https://hdl.handle.net/1721.1/125628 
520 |a We present a new strategy to estimate the temperature‐dependent vapor-liquid equilibria and solvation free energies of dilute neutral molecules based on only their estimated solvation energy and enthalpy at 298 K. These two pieces of information coupled with matching conditions between the functional forms developed by Japas and Levelt Sengers for near critical conditions and by Harvey for low and moderate temperature conditions allow the fitting of a piecewise function that predicts the temperature‐dependent solvation energy for dilute solutes up to the critical temperature of the solvent. If the Abraham and Mintz parameters for the solvent and solute are available or can be estimated from group contributions, this method requires no experimental data and can still provide accurate estimates with an error of about 1.6 kJ/mol. This strategy, which requires minimal computational resources, is shown to compare well with other methods of temperature‐dependent solvation free energy prediction. 
520 |a Eni S.p.A. (Award 5210000949) 
690 |a Biotechnology 
690 |a Environmental Engineering 
690 |a General Chemical Engineering 
655 7 |a Article 
773 |t AIChE Journal