Tough Environmentally Robust Cellulose Nanofiber-Reinforced Dual-Network Eutectogel with an Intelligent Self-Calibrating System for Human-Machine Interfaces

Hydrogels for next-generation human-machine interface (HMI) suffer from environmental instability and inconsistent signals, which limit their wearable deployment. We propose a comprehensive solution, spanning from material design to system integration, and develop a tough and environmentally tolerant dual-network conductive eutectogel. This gel introduces a deep eutectic solvent composed of choline chloride and acrylic acid as a multifunctional liquid phase, achieving high ionic conductivity (2.3 S/m), excellent antievaporation performance, antibacterial activity, and operational capability. A dual-network structure of poly(acrylic acid) and poly(vinyl alcohol) was synergistically reinforced with TEMPO-oxidized cellulose nanofibers, endowing the material with a tensile strength of up to 0.97 MPa and an elongation at break of 464%. To overcome challenges related to inconsistent signals among individual sensor variations, we developed an integrated multichannel self-calibration electronic system. The system actively calibrates and normalizes the signal from each sensor using an on-board digital potentiometer array and algorithm optimization. Based on the excellent performance of the material, the resulting multifunctional sensing platform enables visualization of different pressures, real-time gesture recognition, and control of the robotic hand. This work paves the way for the development of truly practical and highly reliable next-generation human-machine interfaces by integrating advanced material design with intelligent hardware engineering.

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Publication Details

Journal
ACS Applied Materials & Interfaces
Published
2026-04-14
DOI
https://doi.org/10.1021/acsami.5c26105
Primary Topic
Advanced Cellulose Research Studies
Type
article
Field-Weighted Citation Impact
0.00

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article

Tough Environmentally Robust Cellulose Nanofiber-Reinforced Dual-Network Eutectogel with an Intelligent Self-Calibrating System for Human-Machine Interfaces

Liuting Mo, Jisheng Yang, Shihai Wei, Jun Ma et al.
ACS Applied Materials & Interfaces
Advanced Cellulose Research Studies
article

Tough Environmentally Robust Cellulose Nanofiber-Reinforced Dual-Network Eutectogel with an Intelligent Self-Calibrating System for Human-Machine Interfaces

Liuting Mo, Jisheng Yang, Shihai Wei, Jun Ma, Jinlong Yu, Xuwei Wang
article en

Abstract

Hydrogels for next-generation human-machine interface (HMI) suffer from environmental instability and inconsistent signals, which limit their wearable deployment. We propose a comprehensive solution, spanning from material design to system integration, and develop a tough and environmentally tolerant dual-network conductive eutectogel. This gel introduces a deep eutectic solvent composed of choline chloride and acrylic acid as a multifunctional liquid phase, achieving high ionic conductivity (2.3 S/m), excellent antievaporation performance, antibacterial activity, and operational capability. A dual-network structure of poly(acrylic acid) and poly(vinyl alcohol) was synergistically reinforced with TEMPO-oxidized cellulose nanofibers, endowing the material with a tensile strength of up to 0.97 MPa and an elongation at break of 464%. To overcome challenges related to inconsistent signals among individual sensor variations, we developed an integrated multichannel self-calibration electronic system. The system actively calibrates and normalizes the signal from each sensor using an on-board digital potentiometer array and algorithm optimization. Based on the excellent performance of the material, the resulting multifunctional sensing platform enables visualization of different pressures, real-time gesture recognition, and control of the robotic hand. This work paves the way for the development of truly practical and highly reliable next-generation human-machine interfaces by integrating advanced material design with intelligent hardware engineering.

ACS Applied Materials & InterfacesVol. 18(16)
University of Wisconsin–Madison (US), Guangxi University (CN), Department of Environment and Natural Resources (PH), Life Cycle Engineering (United States) (US)
Natural Science Foundation of Guangxi Zhuang Autonomous Region
Life in Land
Openalex Percentile: Top 22%
Advanced Cellulose Research Studies
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