.png){kind=icon}
.png){kind=icon}
Return
Framework-Densified Isotropic Cellulose Ionogel for Omnidirectional Flexible Sensing
.png){kind=icon}
PRE
AI
J
Z
Z
Q
J
L
L
B
DOI：10.1021/acs.biomac.6c00867.png)
.png){kind=icon}
Original request for help.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
Flexible omnidirectional sensors are increasingly important for monitoring complex multidirectional mechanical stimuli, yet soft ionic materials that simultaneously provide high mechanical robustness and direction-insensitive electrical response remain limited. However, most existing gel-reinforcement strategies inevitably involve trade-offs among mechanical robustness, structural homogeneity, isotropy, and ionic transport. Here, we report a high-strength isotropic cellulose ionogel enabled by a densification-engineering strategy based on molecular framework reconstruction. Through ionic liquid-assisted thermoactivation and compression-induced hydrogen-bond reconfiguration, the regenerated cellulose framework is transformed into a dense fibrillar skeleton via crystal reconstruction and isotropic densification, converting the weak ionogel into a mechanically efficient network while preserving in-plane isotropy. The resulting ionogel exhibits a tensile strength of 45.4 MPa, a toughness of 10.2 MJ/m3, and Young’s modulus of 6.59 MPa, corresponding to 76- and 166-fold increases in strength and toughness over the untreated sample, respectively. Meanwhile, the homogenized network retains stable ionic conduction, enabling an omnidirectional sensor with direction-independent pressure sensing over 50–400 kPa, a maximum sensitivity of 0.002 kPa–1, and reliable operation over 1500 cycles. Its performance is further demonstrated by early warning monitoring of irregular motions and unpredictable mechanical events, providing a general route to a robust cellulose ionogel for omnidirectional flexible sensing.
Keywords:
Cellulose
Flexibility
Hydrogels
Sensors
Thermodynamic properties
Journal
IF:
5.4
Papers:
1.2W
Citations:
4.1W
Organization
Cited Papers