Bioinspired Interlocking Hierarchical Heterostructures Endow Iontronic Pressure Sensors With Superior Strain Insensitivity, Air Permeability, and Sensing Performance for Neurodegenerative Disease Assessment

ABSTRACT Pressure sensors, with their immense potential for detecting fine physiological activities and monitoring neurological disease‐related signals, face significant challenges, including the occurrence of signal artifacts during stretching and low comfort due to poor breathability. Here, a bioinspired interlocking hierarchical heterostructure (BIHH) is synergistically designed by anchoring a porous textile‐microstructured ionogel to stretchable laser‐induced graphene electrodes to simultaneously enhance strain insensitivity, pressure sensing performance, and wearable comfort. This modulus‐gradient heterogeneous mechanical network induces interfacial strain partitioning: tensile strain dissipates along porous Ecoflex frameworks, while the pressure‐sensitive domains are mechanically locked against deformation. Consequently, the sensor exhibits a mere 2% signal variation under 100% strain, maintaining consistent sensing capability even under severe stretching. Meanwhile, the hierarchical porous microstructure reconciles high‐performance iontronic pressure sensing with skin‐conformable breathability for array‐based touch and human physiological signal perception. Furthermore, by integrating artificial intelligence recognition algorithms, a five‐channel finger tapping assessment system achieves an accuracy of 97% in distinguishing different tapping patterns for the early auxiliary screening and rehabilitation of neurodegenerative diseases. This effective strategy opens a promising path for designing devices that reduce motion artifact interference while enhancing pressure sensing performance and comfort for on‐skin physiological activity monitoring.

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Publication Details

Journal
Advanced Materials
Published
2026-09-30
DOI
https://doi.org/10.1002/adma.75211
Primary Topic
Advanced Sensor and Energy Harvesting Materials
Type
article
Field-Weighted Citation Impact
0.00
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article

Bioinspired Interlocking Hierarchical Heterostructures Endow Iontronic Pressure Sensors With Superior Strain Insensitivity, Air Permeability, and Sensing Performance for Neurodegenerative Disease Assessment

Fengwei Huo, Junyou Yang, Cheng Shen, Kai Xiang Tao et al.
Advanced Materials
Advanced Sensor and Energy Harvesting Materials
article

Bioinspired Interlocking Hierarchical Heterostructures Endow Iontronic Pressure Sensors With Superior Strain Insensitivity, Air Permeability, and Sensing Performance for Neurodegenerative Disease Assessment

Fengwei Huo, Junyou Yang, Cheng Shen, Kai Xiang Tao, Jin Wu, Qiuhua Yu, Gang Chen, Zhenwen Liang, Jiajia Yang, Liu Fei, Dijie Yao, Huizhi Chen, Yifan Zheng
article en

Abstract

ABSTRACT Pressure sensors, with their immense potential for detecting fine physiological activities and monitoring neurological disease‐related signals, face significant challenges, including the occurrence of signal artifacts during stretching and low comfort due to poor breathability. Here, a bioinspired interlocking hierarchical heterostructure (BIHH) is synergistically designed by anchoring a porous textile‐microstructured ionogel to stretchable laser‐induced graphene electrodes to simultaneously enhance strain insensitivity, pressure sensing performance, and wearable comfort. This modulus‐gradient heterogeneous mechanical network induces interfacial strain partitioning: tensile strain dissipates along porous Ecoflex frameworks, while the pressure‐sensitive domains are mechanically locked against deformation. Consequently, the sensor exhibits a mere 2% signal variation under 100% strain, maintaining consistent sensing capability even under severe stretching. Meanwhile, the hierarchical porous microstructure reconciles high‐performance iontronic pressure sensing with skin‐conformable breathability for array‐based touch and human physiological signal perception. Furthermore, by integrating artificial intelligence recognition algorithms, a five‐channel finger tapping assessment system achieves an accuracy of 97% in distinguishing different tapping patterns for the early auxiliary screening and rehabilitation of neurodegenerative diseases. This effective strategy opens a promising path for designing devices that reduce motion artifact interference while enhancing pressure sensing performance and comfort for on‐skin physiological activity monitoring.

Advanced Materials
Sun Yat-sen University (CN), Jinan University (CN), Northwestern Polytechnical University (CN), Sichuan University (CN), Dongguan University of Technology (CN), West China Hospital of Sichuan University (CN), The First Affiliated Hospital, Sun Yat-sen University (CN), State Key Laboratory of Optoelectronic Materials and Technology, State Key Laboratory of Materials Processing and Die & Mould Technology (CN), Huazhong University of Science and Technology (CN)
Openalex Percentile: Top 22%
Advanced Sensor and Energy Harvesting Materials
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