2022
DOI: 10.1016/j.jcis.2021.10.057
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Multifunctional bacterial cellulose-based organohydrogels with long-term environmental stability

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Cited by 24 publications
(10 citation statements)
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“…We compared the "ionic conductivity", "residual strain" and "cyclic tensile strain (less than or equal to 200%)" of our organohydrogel and other reported organohydrogels (Fig. S11) [44][45][46][47][48][49][50]. The small residual strain during cyclic tensile tests indicated that our organohydrogel had excellent resilience.…”
Section: Resultsmentioning
confidence: 88%
“…We compared the "ionic conductivity", "residual strain" and "cyclic tensile strain (less than or equal to 200%)" of our organohydrogel and other reported organohydrogels (Fig. S11) [44][45][46][47][48][49][50]. The small residual strain during cyclic tensile tests indicated that our organohydrogel had excellent resilience.…”
Section: Resultsmentioning
confidence: 88%
“…In wearable health monitoring applications, we often pay attention to wearable sensors' long-term performance stability, i.e., operating continuously for a long time in various complex environments without apparent performance degradation. The evaporation and condensation of water and the corrosion of metal electrodes are essential factors affecting the long-term performance stability of hydrogel-based sensors [ 206 , 207 ].…”
Section: Discussionmentioning
confidence: 99%
“…The hydrogel sensors displayed the corresponding current signal for human motion detection, such as human swallowing, heart beating, wrist bending, and elbow bending. More recently, Guo et al (2022) prepared the bacterial cellulose (BC)based organohydrogels with tensile stress > 1.0 MPa and tensile strain of 1300% via microwave heating and acid catalysis method. It observed increased mechanical properties because of the hydrogen bond and the metal bonds with BCs-Ca 2+ coordination.…”
Section: Polymer-based Composite For Motion Detection Applicationsmentioning
confidence: 99%
“…Fig.3. The motion detection of C-Gly5 organohydrogels sensor: (a through f) walking, elbow and knee bending, pressing, finger and wrist bending; (g through i) blinking and speech(Guo et al 2022) …”
mentioning
confidence: 99%