Search arXivSearch

arXiv · 2509.10020

Orthogonality between cellulose nanocrystals and a low-molecular weight gelator

Abstract

The development of multicomponent hydrogels has gained a lot of attention in the field of soft matter, as precise tuning of the chemical nature and colloidal properties of each component brings mechanical and functional benefits compared to one-component gels. Within the field, orthogonality between a self-assembled low-molecular weight gelator (LMWG) and a colloid is a domain that has received little attention. In this study, orthogonal LMWG-colloid hydrogels were developed with the additional constraint of sustainability: a bolaamphiphile glycolipid (G-C18:1) is selected as LMWG while cellulose nanocrystals (CNCs) as colloid. These compounds are chosen for their dual role. G-C18:1 is a LMWG but it can also be used, at lower concentrations, as surface stabilizer for CNCs and tune its aggregative properties. On the other hand, tuning surface properties of CNCs drives its bulk behavior: uncharged CNCs locally aggregate and act as reinforcing agent for the LMWG gel, while negatively-charged CNCs, cross-linked with Ca 2+ , naturally form a hydrogel, which can interpenetrate with the LMWG network. By means of rheometry, small-angle X-ray scattering (SAXS) and rheo-SAXS, it is shown here how the aggregative behavior of CNCs enhances the mechanical properties of G-C18:1 hydrogels, while G-C18:1 imparts pH and temperature responsiveness to CNC hydrogels. An interesting field of research in soft matter science is the development of orthogonal hydrogels containing cellulose and LMWGs, although, to the best of our knowledge, there are no existing reports. Since cellulose is among the most extensively studied macromolecules in the field of soft matter, particularly for biomedical applications, 22,23 developing and studying the properties of orthogonal hydrogels containing CNCs and a LMWG represents an intriguing avenue for research, and this for two reasons. First of all, CNCs are bio-based nanoparticles, relevant for the development of sustainable nanoscale science and engineering. Secondly, the surface chemistry of CNCs can be controlled in such a way to tune their aggregation and dispersion properties, making them interesting either as reinforcements in hydrogels, 24,25 or as hydrogel scaffold themselves. 26,27 These aspects were never explored in the context of orthogonal hydrogels. In this work, we then study orthogonality in fully bio-based hydrogels composed of a single glucose lipid LMWG (G-C18:1) and CNCs. G-C18:1 is selected for its multiphasic behavior in water at room temperature 28 and linked to its unique surfactant-lipid-gelator nature, 28,29 tuned by pH and/or type of ion. Below neutral pH and at concentrations under 5 wt%, G-C18:1 forms vesicles, displaying a lipid-like behavior. At pH above neutrality, it assembles into micelles, thus exhibiting a surfactant behavior. 30,31 When Ca 2+ is added to its micellar phase, 32,33 G-C18:1 forms fiber gels 30 (Figure 1). In particular, we focused on orthogonal G-C18:1/CNC hydrogels, in which CNCs either assembled into hydrogels (negatively-charged and cross-linked by calcium ions, referred to as SCNCs, Figure 1) or behaved as reinforcing agents (uncharged CNCs prepared via HCl hydrolysis, referred to as CNC$α$, and neutral surface stabilized by G-C18:1, 34 Figure 1). These two types of CNCs exhibit distinct roles in the hydrogel system: SCNCs actively participate in the formation of a percolated network, while CNC$α$ are used to reinforce the hydrogel matrix physically. Specific attention is paid to the impact of the assembled form of CNCs to the elastic properties of the LMWG hydrogel as well as how the responsivity to pH and temperature of the LMWG affect the elastic properties of CNC hydrogels. 33

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

Thuy-Linh Phi, Eero Kontturi, Niki Baccile. 2025-09-12. Orthogonality between cellulose nanocrystals and a low-molecular weight gelator. https://arxiv.org/abs/2509.10020

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related papers

Transient Elasticity -- A Unifying Framework for Thixotropy, Polymers, and Granular Media

Thixotropic yield stress fluids, such as paint or ketchup, are traditionally viewed as elastic structures that, under shear rates, break into viscous liquids with lumps, and reconnect at rest. An alternative framework is presented here: Upon shear, structural destruction is incomplete, leaving sufficient connections. As a result, elasticity fundamentally underlies their non-Newtonian behavior, though they do appear purely viscous under a steady shear, displaying little direct evidence of elastic rebound---same as granular media and polymers. Consequently, all three are described by the same set of evolution equations, differing only in their parameters. These equations are set up by starting from solid dynamics and allowing the elastic strain $\varepsilon^e$ to relax, which in effect interpolates between solid and fluid behavior, appropriate for systems that display both types of behavior. Incorporating in addition a two-temperature framework, tracking how energy is dissipated in two consecutive stages, yields the nonlinear model of Transient Elasticity (TE). It describes an elasticity that is transient in time yet persistent under shear. Previously validated for polymers and granular media, TE is here applied to thixotropic yield-stress fluids. As shown, it successfully accounts for a wide range of characteristic phenomena, including over- and undershoot, viscosity bifurcation, shear banding, and oscillatory rheography. Given its appropriateness across structurally diverse systems, TE offers a unified, surprisingly general account of non-Newtonian phenomena.

cond-mat.soft

Linear and nonlinear active microrheology of viscous, viscoelastic, and elastic media: A fluid particle dynamics approach

Active microrheology is an effective tool to determine the rheological properties of viscous, viscoelastic, or elastic materials on microscopic length scales. The positional response of an embedded probe particle to an externally applied oscillating driving force allows to indirectly characterize the properties of the surrounding media. We aim to explore the linear and nonlinear response of probe particles in a microrheological setup of planar geometry. For this purpose, we extend the computational method of fluid particle dynamics from viscous fluid-like to viscoelastic and elastic media, including nonlinear regimes. We consider a system confined by solid walls. In this case, we validate the approach by quantifying the linear response in terms of a Jeffreys model. Increasing the amplitude of the driving force, we observe distinct nonlinear effects. They include distorted stress-strain curves and a gradual net drift of probe particles initially positioned close to a wall. This drift vanishes in the viscous fluid-like and elastic solid-like limits, but is manifest for intermediate viscoelastic systems. We further address a setup of two probe particles in the absence of walls. They experience reciprocal pairwise oscillatory forcing. Here, nonlinearities in viscoelastic systems induce a net drift gradually moving the particles further apart from each other. Comparing with real setups, our implementation of the driving force is in line with experimental setups of optical tweezers or active magnetic microrheology.

cond-mat.soft

Reinterpreting ultrafast experiments on supercooled water: Glass transition versus liquid-liquid criticality

Water's anomalous properties have been hypothesized to originate from a liquid-liquid critical point in the supercooled regime, separating high- and low-density liquid states. Experimental verification remains challenging due to rapid crystallization under these conditions. A recent study reported evidence for such a transition, based primarily on a pronounced increase in the heat capacity of rapidly heated low-density amorphous ice. Here, we show that this heat capacity increase can be explained without invoking a liquid-liquid transition. By combining simulations using a machine-learning potential trained on the state-of-the-art MB-pol water model, combined with the Tool-Narayanaswamy-Moynihan (TNM) model of the glass transition, we demonstrate that the observed signal can arise instead from a dynamical effect induced by the mobilization of rotational and translational molecular degrees of freedom during ultrafast heating. We further show that our findings are fully consistent with recent electron diffraction measurements showing structural arrest of supercooled water close to our predicted glass-transition temperature. These results provide an alternative interpretation of the experimental observations and highlight the importance of nonequilibrium glassy dynamics in the interpretation of the behavior of supercooled water on ultra-short time scales.

cond-mat.soft