Mussel-Inspired TA-Laponite-Doped Carbon Nanotube-Reinforced Hydrogels as Antibacterial Strain Sensors with High Mechanical Toughness

Flexible hydrogel sensors have garnered significant interest owing to their biocompatibility and tissue similarity. Nevertheless, challenges such as inadequate mechanical strength, poor interface adhesion, lack of antimicrobial properties, and low conductivity impeded their practical utilization. This research aimed to address traditional hydrogels’ poor mechanical strength, interface adhesion issues, and lack of antibacterial properties, expanding their applications. Drawing inspiration from mussel adhesion, we crafted an innovative hydrogel using tannic acid (TA) as an adhesive, enhanced with ionic liquids (ILs) for the exfoliation of magnesium lithium silicate (Laponite) for mechanical improvement and carbon nanotubes (c-MWCNTs) for electrical enhancement. The prepared PAM/Lap-IL/TA/c-MWCNTs hydrogel showed a fracture stress of 461 kPa and a notable strain of 6800%, with an outstanding adhesive capacity (163 N/m). The prepared sensor can successfully monitor various human movements and exhibits good electrical conductivity (16.4 S/cm, GF = 3.15), quick reaction time (200 ms), and notable antibacterial activity. Crucially, this versatile conductive hydrogel has potential applications in electronic products and medical diagnostic health monitoring.

Authors

Institutions

Publication Details

Journal
ACS Applied Electronic Materials
Published
2024-11-26
DOI
https://doi.org/10.1021/acsaelm.4c01597
Citations
3
Primary Topic
Advanced Sensor and Energy Harvesting Materials
Type
article
Field-Weighted Citation Impact
0.55

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Mussel-Inspired TA-Laponite-Doped Carbon Nanotube-Reinforced Hydrogels as Antibacterial Strain Sensors with High Mechanical Toughness

Xiaotao Liang, Xu Wang, Xue Lv, Yanmin Ma
3 citations
ACS Applied Electronic Materials
Advanced Sensor and Energy Harvesting Materials
0.55
article

Mussel-Inspired TA-Laponite-Doped Carbon Nanotube-Reinforced Hydrogels as Antibacterial Strain Sensors with High Mechanical Toughness

Xiaotao Liang, Xu Wang, Xue Lv, Yanmin Ma
article en
3 citations

Abstract

Flexible hydrogel sensors have garnered significant interest owing to their biocompatibility and tissue similarity. Nevertheless, challenges such as inadequate mechanical strength, poor interface adhesion, lack of antimicrobial properties, and low conductivity impeded their practical utilization. This research aimed to address traditional hydrogels’ poor mechanical strength, interface adhesion issues, and lack of antibacterial properties, expanding their applications. Drawing inspiration from mussel adhesion, we crafted an innovative hydrogel using tannic acid (TA) as an adhesive, enhanced with ionic liquids (ILs) for the exfoliation of magnesium lithium silicate (Laponite) for mechanical improvement and carbon nanotubes (c-MWCNTs) for electrical enhancement. The prepared PAM/Lap-IL/TA/c-MWCNTs hydrogel showed a fracture stress of 461 kPa and a notable strain of 6800%, with an outstanding adhesive capacity (163 N/m). The prepared sensor can successfully monitor various human movements and exhibits good electrical conductivity (16.4 S/cm, GF = 3.15), quick reaction time (200 ms), and notable antibacterial activity. Crucially, this versatile conductive hydrogel has potential applications in electronic products and medical diagnostic health monitoring.

ACS Applied Electronic MaterialsVol. 6(12)
Changchun University of Technology (CN)
Natural Science Foundation of Jilin Province
Openalex Percentile: Top 36%
Advanced Sensor and Energy Harvesting Materials
0.55
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.