{"title":"Atomistic insights into the humidity response of nanocellulose: a molecular dynamics study","authors":"Bingjie Gao, Haojun Wang, Jing Wan, Hang Yin","doi":"10.1007/s00894-025-06340-9","DOIUrl":null,"url":null,"abstract":"<div><h3>Context</h3><p>TEMPO-oxidized cellulose nanofibers (TOCNFs) show significant potential for developing high-performance resistive humidity sensors due to their hydrophilicity and structural adaptability. However, the underlying atomic-scale mechanisms governing their humidity response remain poorly understood. Using molecular dynamics simulations, this study investigates how crystal facets, nanopore widths, and humidity levels influence the surface wettability, water permeability, and swelling of TOCNFs. Our findings reveal that the (1 <span>\\(\\stackrel{\\text{-}}{1}\\)</span> 0) crystal facet exhibits the highest hydrophilicity, while the (100) facet is the least hydrophilic. Narrower nanopores and more hydrophilic facets enhance capillary adsorption, significantly influencing water penetration depth. Additionally, nanopore swelling is highly dependent on the crystal facet, with the (1 <span>\\(\\stackrel{\\text{-}}{1}\\)</span> 0) facet showing the most pronounced expansion. These insights provide a foundation for designing high-performance TOCNF-based humidity sensors.</p><h3>Methods</h3><p>The humidity response of TOCNFs is simulated using the large-scale atomic molecular massively parallel simulator (LAMMPS) package with the OPLS-AA force field to describe interatomic interactions. The open-source visualization tool OVITO is employed to visualize the atomic configurations.</p></div>","PeriodicalId":651,"journal":{"name":"Journal of Molecular Modeling","volume":"31 4","pages":""},"PeriodicalIF":2.1000,"publicationDate":"2025-03-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Molecular Modeling","FirstCategoryId":"92","ListUrlMain":"https://link.springer.com/article/10.1007/s00894-025-06340-9","RegionNum":4,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"BIOCHEMISTRY & MOLECULAR BIOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Context
TEMPO-oxidized cellulose nanofibers (TOCNFs) show significant potential for developing high-performance resistive humidity sensors due to their hydrophilicity and structural adaptability. However, the underlying atomic-scale mechanisms governing their humidity response remain poorly understood. Using molecular dynamics simulations, this study investigates how crystal facets, nanopore widths, and humidity levels influence the surface wettability, water permeability, and swelling of TOCNFs. Our findings reveal that the (1 \(\stackrel{\text{-}}{1}\) 0) crystal facet exhibits the highest hydrophilicity, while the (100) facet is the least hydrophilic. Narrower nanopores and more hydrophilic facets enhance capillary adsorption, significantly influencing water penetration depth. Additionally, nanopore swelling is highly dependent on the crystal facet, with the (1 \(\stackrel{\text{-}}{1}\) 0) facet showing the most pronounced expansion. These insights provide a foundation for designing high-performance TOCNF-based humidity sensors.
Methods
The humidity response of TOCNFs is simulated using the large-scale atomic molecular massively parallel simulator (LAMMPS) package with the OPLS-AA force field to describe interatomic interactions. The open-source visualization tool OVITO is employed to visualize the atomic configurations.
期刊介绍:
The Journal of Molecular Modeling focuses on "hardcore" modeling, publishing high-quality research and reports. Founded in 1995 as a purely electronic journal, it has adapted its format to include a full-color print edition, and adjusted its aims and scope fit the fast-changing field of molecular modeling, with a particular focus on three-dimensional modeling.
Today, the journal covers all aspects of molecular modeling including life science modeling; materials modeling; new methods; and computational chemistry.
Topics include computer-aided molecular design; rational drug design, de novo ligand design, receptor modeling and docking; cheminformatics, data analysis, visualization and mining; computational medicinal chemistry; homology modeling; simulation of peptides, DNA and other biopolymers; quantitative structure-activity relationships (QSAR) and ADME-modeling; modeling of biological reaction mechanisms; and combined experimental and computational studies in which calculations play a major role.