Atomistic Simulations of Polydisperse Lignin Melts Using Simple Polydisperse Residue Input Generator

Vaidyanathan Sethuraman, Josh V. Vermaas, Luna Liang, Arthur J. Ragauskas, Jeremy C. Smith, Loukas Petridis

Research output: Contribution to journalArticlepeer-review

2 Scopus citations

Abstract

Understanding the physics of lignin will help rationalize its function in plant cell walls as well as aiding practical applications such as deriving biofuels and bioproducts. Here, we present SPRIG (Simple Polydisperse Residue Input Generator), a program for generating atomic-detail models of random polydisperse lignin copolymer melts i.e., the state most commonly found in nature. Using these models, we use all-atom molecular dynamics (MD) simulations to investigate the conformational and dynamic properties of polydisperse melts representative of switchgrass (Panicum virgatum L.) lignin. Polydispersity, branching and monolignol sequence are found to not affect the calculated glass transition temperature, Tg. The Flory-Huggins scaling parameter for the segmental radius of gyration is 0.42 ± 0.02, indicating that the chains exhibit statistics that lie between a globular chain and an ideal Gaussian chain. Below Tg the atomic mean squared displacements are independent of molecular weight. In contrast, above Tg, they decrease with increasing molecular weight. Therefore, a monodisperse lignin melt is a good approximation to this polydisperse lignin when only static properties are probed, whereas the molecular weight distribution needs to be considered while analyzing lignin dynamics.

Original languageEnglish
Pages (from-to)767-777
Number of pages11
JournalBiomacromolecules
Volume25
Issue number2
DOIs
StatePublished - Feb 12 2024

Funding

This research was supported by the Genomic Science Program, Office of Biological and Environmental Research, U.S. Department of Energy (DOE), under Contract FWP ERKP752. Computations were performed using the resources of the Compute and Data Environment for Science (CADES) at the Oak Ridge National Laboratory, which is supported by the Office of Science of the U.S. Department of Energy under Contract No. DE-AC05-00OR22725.

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