All-Printed MXene-Based Springs for Concurrent Bidirectional Hand Motion Capture

Accurately capturing hand movements remains a challenge because the skin undergoes stretching, compression and bending at the same time, yet most flexible sensors respond only to tension. Achieving high sensitivity and a wide range often means making the sensor thick, which causes the sensing layer to shift under complex deformations and distorts the signal. Here, we address this by placing the strain-accommodating space within a plane parallel to the strain direction. Using a MXene/polyurethane ink with glycerol as a molecular bridge, we create a dense hydrogen-bonding network that enables high-resolution printing of a planar spring architecture. The resulting all-printed sensor achieves a gauge factor of 83.7 across a linear bidirectional range of ±60% strain. With just two sensors, we track and decode complex wrist motions with ±10° accuracy. When attached to finger joints, they enable real-time, dexterous control of a virtual hand. This work provides an alternative approach for skin strain capture through synergistic innovation in materials and architecture.

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Publication Details

Journal
ACS Nano
Published
2026-05-08
DOI
https://doi.org/10.1021/acsnano.5c20704
Primary Topic
Advanced Sensor and Energy Harvesting Materials
Type
article
Field-Weighted Citation Impact
0.00

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article

All-Printed MXene-Based Springs for Concurrent Bidirectional Hand Motion Capture

Yu Zhao, Jimei Liu, B Zhang, Mengzhou Liao et al.
ACS Nano
Advanced Sensor and Energy Harvesting Materials
article

All-Printed MXene-Based Springs for Concurrent Bidirectional Hand Motion Capture

Yu Zhao, Jimei Liu, B Zhang, Mengzhou Liao, Liu X, Yi Jiang, Chendong Zhao, Chuanfang Zhang, Caofeng Pan, Qinglong He, Valeria Nicolosi
article en

Abstract

Accurately capturing hand movements remains a challenge because the skin undergoes stretching, compression and bending at the same time, yet most flexible sensors respond only to tension. Achieving high sensitivity and a wide range often means making the sensor thick, which causes the sensing layer to shift under complex deformations and distorts the signal. Here, we address this by placing the strain-accommodating space within a plane parallel to the strain direction. Using a MXene/polyurethane ink with glycerol as a molecular bridge, we create a dense hydrogen-bonding network that enables high-resolution printing of a planar spring architecture. The resulting all-printed sensor achieves a gauge factor of 83.7 across a linear bidirectional range of ±60% strain. With just two sensors, we track and decode complex wrist motions with ±10° accuracy. When attached to finger joints, they enable real-time, dexterous control of a virtual hand. This work provides an alternative approach for skin strain capture through synergistic innovation in materials and architecture.

ACS Nano
Trinity College Dublin (IE), Sichuan University (CN), Advanced Materials and BioEngineering Research (IE), Division of Materials Science and Engineering (AU), Beihang University (CN)
National Natural Science Foundation of China, Natural Science Foundation of Sichuan Province, Fundamental Research Funds for the Central Universities
Openalex Percentile: Top 10%
Advanced Sensor and Energy Harvesting Materials
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