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DOE OSTI · 3384982

Solvent-Mediated Control of Nanocellulose Dispersion: An Integrated Computational and Experimental Investigation

Yu, Yan [Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States). UT/ORNL Center for Molecular Biophysics]·Rukmani, Shalini J. [Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States). UT/ORNL Center for Molecular Biophysics; Univ. of Tennessee, Knoxville, TN (United States)] (ORCID:0000000184749403)·Wan, Zhangmin [Univ. of British Columbia, Vancouver, BC (Canada)] (ORCID:0000000311780308)·Copenhaver, Katie [Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)] (ORCID:0000000322618760)·Goswami, Monojoy [Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)] (ORCID:0000000244734888)·Li, Kai [Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)] (ORCID:0000000314453206)·Ozcan, Soydan [Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)] (ORCID:0000000238254589)·Rojas, Orlando J. [Univ. of British Columbia, Vancouver, BC (Canada)] (ORCID:0000000340364020)·Smith, Jeremy C. [Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States). UT/ORNL Center for Molecular Biophysics; Univ. of Tennessee, Knoxville, TN (United States)] (ORCID:0000000229783227)
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Abstract

Fibrillated cellulose derived from forestry feedstocks represents a renewable and high-strength materials platform for circular bioeconomies. However, its practical implementation is hindered by the irreversible aggregation of nanocellulose architectures, including cellulose nanofibers (CNFs). Solvent-based dispersion offers a simple and practical route to prevent CNF aggregation. Here, in this work, we integrate classical and enhanced sampling molecular dynamics (MD) simulations with experimental suspension rheology and atomic force microscopy (AFM) to elucidate how solvent environments tune CNF–CNF interactions and dispersion stability. CNF–CNF contact free energies computed from MD simulations reveal reduced aggregation in acetone/water, γ-valerolactone (GVL)/water, and tetrahydrofuran (THF)/water and pure acetone compared with pure water, reflecting stronger CNF-solvent relative to inter-CNF interactions. Correspondingly, CNF-solvent suspensions in these solvent systems exhibit stronger inter-fibril network structures and enhanced recovery compared to water, indicating improved CNF-solvent affinity. Liquid cell AFM imaging in acetone–water mixtures and in pure acetone further confirm the presence of well-dispersed CNFs. By combining multiscale computation with targeted experiments, this study establishes a rational framework for solvent design to achieve stable nanocellulose dispersions for high-strength biobased materials and efficient bioenergy conversion.

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cellulosecomputer simulationsnanofiberssolventsthermodynamic properties

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Yu, Yan [Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States). UT/ORNL Center for Molecular Biophysics], Rukmani, Shalini J. [Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States). UT/ORNL Center for Molecular Biophysics; Univ. of Tennessee, Knoxville, TN (United States)] (ORCID:0000000184749403), Wan, Zhangmin [Univ. of British Columbia, Vancouver, BC (Canada)] (ORCID:0000000311780308), Copenhaver, Katie [Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)] (ORCID:0000000322618760), Goswami, Monojoy [Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)] (ORCID:0000000244734888), Li, Kai [Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)] (ORCID:0000000314453206), Ozcan, Soydan [Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)] (ORCID:0000000238254589), Rojas, Orlando J. [Univ. of British Columbia, Vancouver, BC (Canada)] (ORCID:0000000340364020), Smith, Jeremy C. [Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States). UT/ORNL Center for Molecular Biophysics; Univ. of Tennessee, Knoxville, TN (United States)] (ORCID:0000000229783227). 2026-06-22. Solvent-Mediated Control of Nanocellulose Dispersion: An Integrated Computational and Experimental Investigation. https://doi.org/10.1021/acsnano.6c06855

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