2019
DOI: 10.1021/acs.biomac.8b01706
|View full text |Cite
|
Sign up to set email alerts
|

Nanostructural Properties and Twist Periodicity of Cellulose Nanofibrils with Variable Charge Density

Abstract: Cellulose nanofibrils (CNFs) are a renewable and facile to produce nanomaterial that recently gained a lot of attention in soft material research. The nanostructural properties of the fibrils largely determine their self-organizing functionalities, and the ability to tune the CNF nanostructure through control of the processing parameters is therefore crucial for developing new applications. In this study, we systematically altered the CNF production parameters (i.e., variation in cellulose source, chemical, an… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

5
64
2

Year Published

2020
2020
2023
2023

Publication Types

Select...
7

Relationship

2
5

Authors

Journals

citations
Cited by 53 publications
(71 citation statements)
references
References 47 publications
5
64
2
Order By: Relevance
“…The right-hand twist of cellulose was observed and discussed in many experimental and simulation studies (Matthews et al 2006;Conley et al 2016;Paajanen et al 2019;Paavilainen et al 2011;Zhao et al 2013;Hadden et al 2013;Hanley et al 1997;Arcari et al 2019). Although the twist can be clearly seen in TEM (Conley et al 2016) and AFM (Hanley et al 1997;Arcari et al 2019) pictures, it is difficult to deduce exactly how much is the twist per length of fibril. In this respect molecular simulations can be a valuable tool to determine the twist of a CNC.…”
Section: Twisting Of a Single Fibrilmentioning
confidence: 99%
“…The right-hand twist of cellulose was observed and discussed in many experimental and simulation studies (Matthews et al 2006;Conley et al 2016;Paajanen et al 2019;Paavilainen et al 2011;Zhao et al 2013;Hadden et al 2013;Hanley et al 1997;Arcari et al 2019). Although the twist can be clearly seen in TEM (Conley et al 2016) and AFM (Hanley et al 1997;Arcari et al 2019) pictures, it is difficult to deduce exactly how much is the twist per length of fibril. In this respect molecular simulations can be a valuable tool to determine the twist of a CNC.…”
Section: Twisting Of a Single Fibrilmentioning
confidence: 99%
“…In addition, the 14-round twist model is the upper limit length that can be calculated in our system, and the calculations did not converge at lengths longer than that because of the large displacements. The actual CNF can be approximated by the CT ON -CC ON model, and depending on the crystal thickness, surface conditions or drying conditions, it approaches the torsion-free CT OFF -CC OFF model 14,15 . The twisted CNF models were www.nature.com/scientificreports/ www.nature.com/scientificreports/ found to be closer to the linear response material owing to averaging of the nonlinear curvature caused by the anisotropy of the properties.…”
Section: Resultsmentioning
confidence: 99%
“…In these materials, the CNFs have been assumed to be ideal elastic rods based on their fibrous shapes, and composite theories for a cylindrical elastic rod have often been applied 5,11 . However, a single CNF has recently been demonstrated to have a right-handed twist structure through high-resolution microscopic analyses [12][13][14] . It is not clear whether the twisted fibres exhibit the ideal and regular elastic behaviour.…”
Section: Irregular and Suppressed Elastic Deformation By A Structuralmentioning
confidence: 99%
See 1 more Smart Citation
“…Samples were prepared according to the procedure used in. [ 27 ] CNC and cin‐CNC were dispersed in water with a concentration of 2 mg L −1 and deposited on freshly cleaved mica for 30 s. Positive surface charge of the mica was previously obtained by pouring a 20 µL drop of 0.05 vol% of (3‐aminopropyl)triethoxysilane (APTES) for 60 s, rinsed with MilliQ water and dried with pressurized air. The samples were stored under vacuum in a desiccator to avoid contamination prior to measurements.…”
Section: Methodsmentioning
confidence: 99%