4.3 Article

Synergy coordination of cellulose-based dialdehyde and carboxyl with Fe3+ recoverable conductive self-healing hydrogel for sensor

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ELSEVIER
DOI: 10.1016/j.msec.2021.112094

Keywords

Dual ionic network; Conductive self-healing hydrogel; Rapid recoverability; Sensor

Funding

  1. Natural Science Foundation of Guangdong Province [2021A1515010360]
  2. National Natural Science Foundation of China [22078114]
  3. Guangdong Basic and Applied Basic Research Foundation [2019A1515110666]
  4. China Postdoctoral Science Foundation [2019M662927]

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A novel dual ionic network cellulose-based composite conductive self-healing hydrogel was developed with high elongation, rapid recoverability, high conductive sensitivity, and good biocompatibility. The addition of DACNFs in the hydrogel increased the self-healing efficiency and stretching sensitivity.
A novel dual ionic network cellulose-based composite conductive self-healing hydrogel was fabricated with high elongation, rapid recoverability, high conductive sensitivity, self-healing ability and good biocompatibility. The hydrogel was constructed by the synergistic complexations of new-fashioned bidentate aldehyde groups on dialdehyde cellulose nanofibers (DACNFs) and carboxyl groups of acrylic acid (AA) with Fe3+. The elongation (similar to 1300%) of the hydrogel containing 1 wt% DACNFs was approximate 13-fold of the pure PAA hydrogel and can recover to original state within 2 min after 80% compression. The self-healing efficiency increased with the addition of DACNFs in the dual ionic network cellulose-based composite conductive self-healing hydrogel. The hydrogel configured for a wearable test and showed high stretching sensitivity with a gauge factor of 13.82 at strain within 1.6%. The gauge factor (GF) decrease with the incremental strain within 20%. GF were 0.696 between 20% and 300% strain, 0.837 within 300% and 500%. Meanwhile, the current had a good linear relationship with the bending angles of hydrogels and pressure on hydrogels, which may provide a great potential in monitor both minor variations and large movements.

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