纳米纤维素
材料科学
色散(光学)
纤维素
纳米纤维
溶剂
纳米技术
丙酮
分子动力学
流变学
化学工程
原子力显微镜
四氢呋喃
细菌纤维素
纳米颗粒
复合材料
纺纱
溶剂效应
复杂流体
纳米复合材料
悬挂(拓扑)
作者
Yan Yu,Shalini J. Rukmani,Zhangmin Wan,Katie Copenhaver,Monojoy Goswami,Kai Li,Soydan Ozcan,Orlando J. Rojas,Jeremy C. Smith
出处
期刊:ACS Nano
[American Chemical Society]
日期:2026-06-22
卷期号:20 (26): 19078-19095
标识
DOI:10.1021/acsnano.6c06855
摘要
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, 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.
科研通智能强力驱动
Strongly Powered by AbleSci AI