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Updated: Apr 30, 2026

A Simple and Scalable Fabrication Method for Organic Electronic Devices on Textiles
Published on: March 13, 2017
High Sensitivity, All-Organic Piezoelectric Skin Enabled by a Phytic Acid-Assisted Molecular Engineering Strategy
Tienan Zhao1, Zujian Li1, Yuzhu Li1
1State Key Laboratory of Synergistic Chem-Bio Synthesis, School of Chemistry and Chemical Engineering, New Cornerstone Science Laboratory, Frontiers Science Center for Transformative Molecules, Zhang Jiang Institute for Advanced Study and National Center for Translational Medicine, Shanghai Jiao Tong University, Shanghai 200240, China.
Abstract:
Electronic skin (e-skin), which mimics the tactile and multimodal sensing functions of human skin, is emerging as a key technology for wearable healthcare and human-machine interfaces. All-organic piezoelectric composites owing to their intrinsic flexibility and skin conformability represent attractive candidates for e-skin development. However, achieving a high piezoelectric performance, long-term stability, and mechanical compliance simultaneously remains a critical challenge. Here, we report a phytic acid (PA)-assisted molecular engineering strategy to fabricate P(VDF-co-trifluoroethylene) (PVDF-TrFE)/PA composites with a high piezoelectric charge coefficient (87 pC N-1) and voltage coefficient (614 mV m N-1), as well as durability. Strong hydrogen bonding between PA hydroxyl groups and PVDF-TrFE chains promotes β-phase crystallization and stabilizes the piezoelectric structure. Meanwhile, the high dielectric constant of phosphate groups enhances the dipole polarization efficiency. Building on this composite, we developed a high-performance piezoelectric skin (pe-skin), which exhibits high sensitivity (35 mV kPa-1), a fast response (∼70 ms), and robust stability. The resulting pe-skin enables real-time physiological monitoring, precise pressure mapping, and smart human-machine interfaces. Overall, this work highlights a promising pathway toward the construction of high-performance pe-skin for healthcare, robotics, and human-machine interfaces.
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