Predictive screening of ionic liquids for dissolving cellulose and experimental verification

Yanrong Liu, Kaj Thomsen, Yi Nie, Suo-Jiang Zhang, Anne S. Meyer

Research output: Contribution to journalJournal articlepeer-review

Abstract

In this work, 357 ionic liquids (ILs) formed from 17 cations and 21 anions were selected for evaluation of their ability to dissolve cellulose by COSMO-RS. In order to evaluate the predictive model and method, experimental measurements of the solubility of microcrystalline cellulose (MCC) in 7 of these ILs were also conducted. Predicted results from logarithmic activity coefficients were generally in good agreement with the experimental results. Three different models were used for describing cellulose, and the mid-monomer part of the cellotriose model was found to be closer to the experimental results than a neat glucose model and the model of the mid-dimer part of cellotetraose. Excess enthalpy calculations indicated that hydrogen-bond (H-bond) interactions between cellulose (i.e. the three cellulose models) and the 7 studied ILs are key factors for the solubility of cellulose, and the anions play a crucial role in the cellulose dissolution process. Importantly, the cations of methylimidazolium+, pyridinium+, ethylmorpholinium+ and methylpyrrolidinium+ structured with functional groups including ethyl, allyl, 2-hydroxylethyl, 2-methoxyethyl and acryloyloxypropyl, combined with anions Ac, Dec, HCOO, Cl, BEN, DMPO4, DEP, DBP and Br were predicted to be the best for dissolving cellulose.
Original languageEnglish
JournalGreen Chemistry
Volume18
Issue number23
Pages (from-to)6246-6254
ISSN1463-9262
DOIs
Publication statusPublished - 2016

Bibliographical note

Electronic supplementary information (ESI) available: General synthesis processes and the properties of the ILs studied in this work. See DOI: 10.1039/c6gc01827k

Fingerprint

Dive into the research topics of 'Predictive screening of ionic liquids for dissolving cellulose and experimental verification'. Together they form a unique fingerprint.

Cite this