Prediction of solubility parameters of lignin and ionic liquids using multi-resolution simulation approaches

Mood Mohan, Kaixuan Huang, Venkataramana R. Pidatala, Blake A. Simmons, Seema Singh, Kenneth L. Sale, John M. Gladden

Research output: Contribution to journalArticlepeer-review

42 Scopus citations

Abstract

The solubility parameter (SP) of a molecular species is a vital feature that indicates polarity and quantifies the 'like-seeks-like' principle, which is used in chemistry to screen solvents for dissolution. Recent studies have demonstrated that ionic liquids (ILs) and deep eutectic solvents (DESs) efficiently solubilize lignocellulosic biomass and promote enzymatic saccharification into sugars used for the production of biofuels and value-added chemicals. Understanding the solubility of plant biopolymers, particularly lignin, in ILs and DESs is critical for selecting candidate ILs and DESs for biomass pretreatment; however, experimentally measuring SPs is challenging. Thus, the present study investigates lignin dissolution mechanisms in IL/DES and prediction of the solubility parameters (Hildebrand and Hansen) of lignin, ILs, and DESs using multi-resolution simulation approaches. Solubility parameters of the studied compounds were predicted using molecular dynamics (MD) simulations, and the SP of lignin was determined to be 23-27 MPa1/2, which was close to the polymeric lignin solubility parameter (24.3-25.5 MPa1/2). The SPs of ILs namely [Ch][Lys], [Ch][Oct], and [Emim][Lys] were predicted to be ∼26 MPa1/2, which is close to lignin's SPs and resulted in increased biomass delignification. The MD simulated SPs were validated by both the COSMO-RS model and experimental investigations, with the results showing a close agreement between the predicted and experimentally obtained SPs. In addition, the enthalpy of vaporization (ΔHvap) of ILs/DESs was predicted based on the potential energy of the system, and the ΔHvap of ILs/DESs was around 40-65 kcal mol-1, which is 5-8 times higher than that of traditional organic solvents.

Original languageEnglish
Pages (from-to)1165-1176
Number of pages12
JournalGreen Chemistry
Volume24
Issue number3
DOIs
StatePublished - Feb 7 2022
Externally publishedYes

Funding

This work was part of the DOE Joint BioEnergy Institute (http://www.jbei.org) supported by the U. S. Department of Energy, Office of Science, Office of Biological and Environmental Research, through contract DE-AC02-05CH11231 between Lawrence Berkeley National Laboratory and the U. S. Department of Energy. The United States Government retains and the publisher, by accepting the article for publication, acknowledges that the United States Government retains a non-exclusive, paid-up, irrevocable, world-wide licence to publish or reproduce the published form of this manuscript, or allow others to do so, for United States Government purposes.

FundersFunder number
U.S. Department of Energy
Office of Science
Biological and Environmental ResearchDE-AC02-05CH11231
Lawrence Berkeley National Laboratory

    Fingerprint

    Dive into the research topics of 'Prediction of solubility parameters of lignin and ionic liquids using multi-resolution simulation approaches'. Together they form a unique fingerprint.

    Cite this