Comparative Assessment of Group Contribution Models for Estimating the Isobaric Heat Capacity of Ionic Liquids
Abstract Eight widely used group-contribution models were evaluated for their ability to estimate the isobaric heat capacity (Cp) of ionic liquids (ILs). A curated database containing 9037 experimental data points for 142 ILs, covering eight cation families, temperatures from 190 to 524.87 K, and heat capacities from 93.0 to 1805.7 J·mol–1·K–1, was assembled to assess model performance under diverse conditions. Three main evaluation criteria were applied: predictive accuracy, functional-group flexibility, and ability to represent structural diversity of cation–anion combinations. Among the evaluated models, “GAR”, “SOR”, and “MIA” exhibited the best predictive accuracy, with overall % AARD values of 5.10%, 4.30%, and 4.22%, respectively. The “MIA” model is particularly suitable for imidazolium- and pyridinium-based ILs, relevant in industrial contexts. The “SAT” model also proved promising for CAMD applications due to its flexible atomic-contribution framework. Overall, the study offers practical guidance for selecting group-contribution methods when experimental data are unavailable.
Authors
- Frederico Ribeiro do Carmo (ORCID: https://orcid.org/0000-0003-0666-2956)
- Filipe Xavier Feitosa (ORCID: https://orcid.org/0000-0001-9934-1259)
- Nathan S. Evangelista (ORCID: https://orcid.org/0000-0002-4298-2044)
- Hosiberto Batista de Sant’Ana (ORCID: https://orcid.org/0000-0001-7558-3018)
- Peterson Y. G. de Medeiros Araújo
Institutions
- Universidade Federal de Lavras (BR)
- Universidade Federal do Ceará (BR)
- Universidade Federal Rural do Semi-Árido (BR)
Publication Details
- Journal
- ACS Omega
- Published
- 2026-10-13
- DOI
- https://doi.org/10.1021/acsomega.6c06472
- Primary Topic
- Ionic liquids properties and applications
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Coordenação de Aperfeiçoamento de Pessoal de Nível Superior
- Conselho Nacional de Desenvolvimento Científico e Tecnológico
- Universidade Federal Rural do Semi-Árido