TUHH Open Research
Help
  • Log In
    New user? Click here to register.Have you forgotten your password?
  • English
  • Deutsch
  • Communities & Collections
  • Publications
  • Research Data
  • People
  • Institutions
  • Projects
  • Statistics
  1. Home
  2. TUHH
  3. Publication References
  4. Importance of conformer diversity over quantity in COSMO-RS-Based LLE predictions: a case study
 
Options

Importance of conformer diversity over quantity in COSMO-RS-Based LLE predictions: a case study

Publikationstyp
Journal Article
Date Issued
2026-05-09
Sprache
English
Author(s)
Joos, Ilah  
Müller, Simon  orcid-logo
Thermische Verfahrenstechnik V-8  
De Clercq, Jeriffa  
Smirnova, Irina  orcid-logo
Thermische Verfahrenstechnik V-8  
Sabbe, Maarten K.  
Lauwaert, Jeroen  
TORE-URI
https://hdl.handle.net/11420/63234
Journal
Industrial & engineering chemistry research  
Volume
65
Issue
19
Start Page
10205
End Page
10213
Citation
Industrial and Engineering Chemistry Research 65 (19): 10205-10213 (2026)
Publisher DOI
10.1021/acs.iecr.5c04139
Scopus ID
2-s2.0-105039281013
Publisher
American Chemical Society
Accurate phase equilibrium prediction is vital for chemical process design, particularly for challenging systems involving complex intermolecular interactions. This study examines how conformer selection and sigma profiles affect COSMO-RS predictions of liquid–liquid equilibria (LLE’s), using the tetrahydrofurfuryl alcohol (THFA)–methyl isobutyl ketone (MIBK)–water system as a case study. THFA’s conformational flexibility and the contrasting polarity of the two phases, make this system highly sensitive to conformer effects. Predictions were performed at two levels of theory: TZVP and TZVPD-FINE. The TZVP calculations failed to reproduce the experimentally observed LLE behavior, whereas the TZVPD-FINE calculations showed better agreement. This contrast arises because TZVP favors the lowest-energy, less-polar conformers, while TZVPD-FINE emphasizes more polar, hydrogen-bonding-capable conformers. Although the TZVPD-FINE prediction with the full conformer set clearly improves upon the TZVP result and reproduces the main experimental trends, it should be noted that the predicted organic-phase composition does not fully meet the agreement criterion adopted in this work, as MPD<inf>org</inf> equals 5.27%, slightly above the 5% threshold. The prediction should therefore be regarded as near-threshold rather than fully successful, according to our own definition. This residual deviation may arise from several sources, such as experimental uncertainties in tie-line compositions or uncertainties in the predictions for phase compositions close to the plait point or critical solubility point. Single-conformer predictions showed, for the systems tested, that individual conformers could skew predictions and that only a representative conformer set yields reliable predictions. Comparative predictions for the case study investigated further indicated that predictive accuracy depends more on σ-profile diversity than on the number of conformers used. These findings highlight the importance of the conformer representation in COSMO-RS. For systems governed by subtle changes in interactions between phases of different polarity such as liquid–liquid equilibria, both aspects must be carefully considered to ensure predictive reliability. These insights increase understanding of COSMO-RS and might help toward its correct application in both academic and industrial contexts.
Subjects
Liquid liquid equilibrium
Mixtures
Molecular structure
Solubility
Solvents
DDC Class
540: Chemistry
600: Technology
TUHH
Weiterführende Links
  • Contact
  • Send Feedback
  • Cookie settings
  • Privacy policy
  • Impress
DSpace Software

Built with DSpace-CRIS software - Extension maintained and optimized by 4Science
Design by effective webwork GmbH

  • Deutsche NationalbibliothekDeutsche Nationalbibliothek
  • ORCiD Member OrganizationORCiD Member Organization
  • DataCiteDataCite
  • Re3DataRe3Data
  • OpenDOAROpenDOAR
  • OpenAireOpenAire
  • BASE Bielefeld Academic Search EngineBASE Bielefeld Academic Search Engine
Feedback