Hofmeister Hydrogel Iontronic Sensor for Dual-Mode Motion Monitoring
Flexible pressure sensors hold great promise for applications in motion monitoring and human signal recognition. However, conventional devices with fixed structure-performance coupling often fail to meet the diverse demands of different body sites and multi-scenario monitoring. Herein, we propose a polyvinyl alcohol (PVA)-hydroxyethane diphosphonic acid (HEDP) hydrogel iontronic sensor (PHHIS) with modulus programmability regulated by the <i>Hofmeister effect</i>. By introducing weakly hydrated I<sup>-</sup> and strongly hydrated SO<sub>4</sub><sup>2<sup>-</sup></sup>, we constructed soft-mode and hard-mode PHHIS, enabling precise acquisition of both low- and high-pressure human signals. The soft mode achieves ultrahigh sensitivity (238.4 kPa<sup>-1</sup>, 0-50 kPa), ideal for subtle signals such as pulse and vocalization, while the hard mode maintains stable linearity (1.5 kPa<sup>-1</sup>, 0-800 kPa), suitable for limb movement monitoring. Eight classes of human signals were precisely recognized with 100% accuracy through feature extraction combined with linear discriminant analysis, hierarchical cluster analysis, and artificial neural network analysis. This work demonstrates the promise of <i>Hofmeister effect</i>-regulated hydrogel design for programmable modulus control, enabling high-performance signal recognition and advancing flexible iontronic sensors for intelligent health monitoring.
Authors
- Jintao Yuan (ORCID: https://orcid.org/0000-0002-1761-6106)
- Zhongbin Wu (ORCID: https://orcid.org/0000-0002-8425-5013)
- Tianci Xu (ORCID: https://orcid.org/0000-0003-4600-1001)
- Jinquan Li (ORCID: https://orcid.org/0000-0002-0494-0644)
- Ying Lü (ORCID: https://orcid.org/0000-0002-2904-2584)
- Tao Chen
Institutions
- Anhui Agricultural University (CN)
- Lingnan Normal University (CN)
- Hungarian University of Sports Science (HU)
Publication Details
- Journal
- ACS Sensors
- Published
- 2026-02-26
- DOI
- https://doi.org/10.1021/acssensors.5c03822
- Primary Topic
- Advanced Sensor and Energy Harvesting Materials
- Type
- article
- Field-Weighted Citation Impact
- 0.00