Issue 14, 2025

Decoding in-plane orientation in cellulose nanopapers hybridized with tailored polymeric nanoparticles

Abstract

Biobased cellulose nanofibrils (CNFs) constitute important building blocks for biomimetic, nanostructured materials, and considerable potential exists in their hybridization with tailorable polymeric nanoparticles. CNFs naturally assemble into oriented, fibrillar structures in their cross-section. This work shows that polymeric nanoparticle additives have the potential to increase or decrease orientation of these cellulose structures, which allows the control of bulk mechanical properties. Small amounts of these additives (<1 wt%) are shown to promote the alignment of CNFs, and the particle size is found to determine a tailorable maximum feature size which can be modified. Herein, X-ray scattering allows for the quantification of orientation at different length scales. This newly developed method of measuring cross-sectional orientation allows for understanding the influence of nanoparticle characteristics on the CNF network structure at different length scales in hybrid cellulose-nanoparticle materials, where previously quantitative description has been lacking. It thus constitutes an important foundation for further development and understanding of nanocellulose materials on the level of their nanoscale building blocks and their interactions, which in turn are decisive for their macroscopic properties.

Graphical abstract: Decoding in-plane orientation in cellulose nanopapers hybridized with tailored polymeric nanoparticles

Supplementary files

Article information

Article type
Paper
Submitted
23 Oct 2024
Accepted
27 Feb 2025
First published
05 Mar 2025
This article is Open Access
Creative Commons BY license

Nanoscale, 2025,17, 8712-8723

Decoding in-plane orientation in cellulose nanopapers hybridized with tailored polymeric nanoparticles

Å. Jerlhagen, K. Gordeyeva, M. Cattaruzza, L. Brandt, B. Sochor, S. Koyiloth Vayalil, S. V. Roth, L. Wågberg and E. Malmström, Nanoscale, 2025, 17, 8712 DOI: 10.1039/D4NR04381B

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