Anisotropic Tough and Non‐Swelling Hydrogels Based on Hofmeister‐Effect for Underwater Monitoring

Abstract Hydrogels are widely employed in wearable electronics, soft robotics, and human‐machine interfaces owing to their skin‐like softness, strain sensitivity, and biocompatibility. However, synthetic hydrogels often fall short of matching the mechanical robustness and fatigue resistance of natural load‐bearing anisotropic tissues with high water content. Additionally, most hydrogels are prone to swelling, which limits their application in humid environments. Herein, an anisotropic composite hydrogel with outstanding mechanical properties and non‐swelling properties is developed by using polyvinylalcohol (PVA) and carboxylated carbon nanotubes (CNT) through ice templates and salting‐out strategies. The composite hydrogel (PVA/CNT‐S) has anisotropic orientation structure with high water content (65%), exceptional tensile strength (3 MPa) and toughness (4 MJ·m −3 ), and electrical conductivity (0.11 S·m −1 ) along the alignment axis. With a swelling ratio of 0.8%, the hydrogel maintains structural integrity after one month in aqueous environments and endures 1400 underwater fatigue cycles without fracture. The PVA/CNT‐S can be used as a strain sensor with fast response (500 ms) and stable sensing performance (during 10 000 tensile cycles), enabling real‐time monitoring of robotic fish swimming and human motion under water. Moreover, it supports underwater Morse code communication and water level monitoring, offering a versatile platform for submersible sensing, distress signaling, and early alarming applications under aquatic environments.

Authors

Institutions

Publication Details

Journal
Advanced Functional Materials
Published
2025-11-05
DOI
https://doi.org/10.1002/adfm.202527007
Citations
2
Primary Topic
Advanced Sensor and Energy Harvesting Materials
Type
article
Field-Weighted Citation Impact
1.35
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Anisotropic Tough and Non‐Swelling Hydrogels Based on Hofmeister‐Effect for Underwater Monitoring

Jun Fu, Canjie Zhu, Shengnan Li, Guoqi Chen et al.
2 citations
Advanced Functional Materials
Advanced Sensor and Energy Harvesting Materials
1.35
article

Anisotropic Tough and Non‐Swelling Hydrogels Based on Hofmeister‐Effect for Underwater Monitoring

Jun Fu, Canjie Zhu, Shengnan Li, Guoqi Chen, Jingren Ma, Jingquan Han
article en
2 citations

Abstract

Abstract Hydrogels are widely employed in wearable electronics, soft robotics, and human‐machine interfaces owing to their skin‐like softness, strain sensitivity, and biocompatibility. However, synthetic hydrogels often fall short of matching the mechanical robustness and fatigue resistance of natural load‐bearing anisotropic tissues with high water content. Additionally, most hydrogels are prone to swelling, which limits their application in humid environments. Herein, an anisotropic composite hydrogel with outstanding mechanical properties and non‐swelling properties is developed by using polyvinylalcohol (PVA) and carboxylated carbon nanotubes (CNT) through ice templates and salting‐out strategies. The composite hydrogel (PVA/CNT‐S) has anisotropic orientation structure with high water content (65%), exceptional tensile strength (3 MPa) and toughness (4 MJ·m −3 ), and electrical conductivity (0.11 S·m −1 ) along the alignment axis. With a swelling ratio of 0.8%, the hydrogel maintains structural integrity after one month in aqueous environments and endures 1400 underwater fatigue cycles without fracture. The PVA/CNT‐S can be used as a strain sensor with fast response (500 ms) and stable sensing performance (during 10 000 tensile cycles), enabling real‐time monitoring of robotic fish swimming and human motion under water. Moreover, it supports underwater Morse code communication and water level monitoring, offering a versatile platform for submersible sensing, distress signaling, and early alarming applications under aquatic environments.

Advanced Functional MaterialsVol. 36(24)
Sun Yat-sen University (CN), Nanjing Forestry University (CN)
Openalex Percentile: Top 17%
Advanced Sensor and Energy Harvesting Materials
1.35
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.