PNIPAM-Based Multifunctional Ionic Conductor for Comprehensive Detection of Human Signals

Ionic conductive hydrogels have attracted extensive attention in the field of wearable sensing due to their excellent performance. However, most wearable sensors based on ionic conductive hydrogels focus on the detection of a single form of the human signal such as strain and pressure detection. To realize the comprehensive detection of human signals, the thermosensitive materials N-isopropylacrylamide (NIPAM) and acrylamide (AAm) were chemically cross-linked, and gelatin (GA) and tannic acid (TA) were introduced to construct a double-network structure hydrogel with tensile and temperature-sensing capabilities close to those of human skin. By adjusting the content of hydrophilic and hydrophobic segments of NIPAM and AAm in the first network of the hydrogel, the phase transition temperature could be controlled to realize real-time human temperature monitoring. The introduction of gelatin GA as the second network and TA as the hydrogen bond physical cross-linking center endow the hydrogel skin-like tensile strength (43 kPa) and toughness (33 kJ/m3) to adapt to the external strain changes in wearable sensing applications. Based on the skin-matching mechanical properties and good conductivity, the epidermal electrode assembled by the hydrogel had low interface impedance and excellent stability, which could be used for real-time collection of dynamic electrocardiogram (ECG) and electromyogram (EMG) physiological signals. It is believed that this hydrogel will provide new ideas for the design and manufacture of wearable devices for comprehensive health monitoring and telemedicine.

Authors

Institutions

Publication Details

Journal
ACS Applied Polymer Materials
Published
2025-05-22
DOI
https://doi.org/10.1021/acsapm.5c01162
Primary Topic
Neuroscience and Neural Engineering
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

PNIPAM-Based Multifunctional Ionic Conductor for Comprehensive Detection of Human Signals

Guanghui Gao, Wei Fu, Shan Xia, Jing Xue
3 links
ACS Applied Polymer Materials
Neuroscience and Neural Engineering
article

PNIPAM-Based Multifunctional Ionic Conductor for Comprehensive Detection of Human Signals

Guanghui Gao, Wei Fu, Shan Xia, Jing Xue
article en

Abstract

Ionic conductive hydrogels have attracted extensive attention in the field of wearable sensing due to their excellent performance. However, most wearable sensors based on ionic conductive hydrogels focus on the detection of a single form of the human signal such as strain and pressure detection. To realize the comprehensive detection of human signals, the thermosensitive materials N-isopropylacrylamide (NIPAM) and acrylamide (AAm) were chemically cross-linked, and gelatin (GA) and tannic acid (TA) were introduced to construct a double-network structure hydrogel with tensile and temperature-sensing capabilities close to those of human skin. By adjusting the content of hydrophilic and hydrophobic segments of NIPAM and AAm in the first network of the hydrogel, the phase transition temperature could be controlled to realize real-time human temperature monitoring. The introduction of gelatin GA as the second network and TA as the hydrogen bond physical cross-linking center endow the hydrogel skin-like tensile strength (43 kPa) and toughness (33 kJ/m3) to adapt to the external strain changes in wearable sensing applications. Based on the skin-matching mechanical properties and good conductivity, the epidermal electrode assembled by the hydrogel had low interface impedance and excellent stability, which could be used for real-time collection of dynamic electrocardiogram (ECG) and electromyogram (EMG) physiological signals. It is believed that this hydrogel will provide new ideas for the design and manufacture of wearable devices for comprehensive health monitoring and telemedicine.

ACS Applied Polymer MaterialsVol. 7(11)
Advanced Institute of Materials Science (JP), Changchun University of Technology (CN)
Openalex Percentile: Top 88%
Neuroscience and Neural Engineering
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.