Impedance characteristics in iontronic tactile sensors enabling intrinsic temperature-pressure decoupling
Source abstract
Abstract
Iontronic tactile sensors intrinsically respond to both thermal and mechanical stimuli and hold promise for skin-like multimodal tactile sensing owing to their sensitive response. However, the decoupling of temperature and pressure remains elusive due to an unclear understanding of the thermal‒mechanical‒coupled impedance characteristics, which hinders accurate pressure measurement under temperature fluctuations and limits the practical use of iontronic tactile sensors. This study elucidates the thermal-mechanical impedance characteristics of iontronic tactile sensors, by resolving nine impedance elements associated with sensor structure and ion migration pattern. Based on these insights, a thermal‒mechanical decoupling method is proposed. A temperature‒pressure linear relationship behind the impedance responses uncovers the intrinsic decoupling signatures: the pressure-insensitive root and the temperature-insensitive capacitance variation. These signatures enable high-accuracy decoupling with 99.4% for temperature and 96.4% for pressure, allowing the acquisition of temperature‒pressure distributions using tactile sensing arrays. The study lays a mechanistic foundation for iontronic sensors, opening a pathway for integrating additional modalities, such as strain and humidity, into iontronic tactile sensors.
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: Advanced Sensor and Energy Harvesting Materials · Dielectric materials and actuators · Smart Materials for Construction
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
References (42)
Show source-provided references
1. Xiong, Y., Han, J., Wang, Y., Wang, Z. & Sun, Q. Emerging iontronic sensing: Materials, mechanisms, and applications. Research 2022, 9867378 (2022).10.34133/2022/9867378 ↗
2. Shi, J. et al. Embedment of sensing elements for robust, highly sensitive, and cross-talk–free iontronic skins for robotics applications. Sci. Adv. 9, eadf8831 (2023).10.1126/sciadv.adf8831 ↗
3. Wang, T., Zhang, Y. & Wang, Q. A flexible iontronic capacitive sensing array for hand gesture recognition using deep convolutional neural networks. Soft Robot. 10, 443–453 (2023).10.1089/soro.2021.0209 ↗
4. Hou, J. F., Liu, K., Liu, P., Wang, G. & Li, S. Guo, 3-D-curved iontronic tactile sensor and denoising method for physical human–robot interactions. IEEE Sens. J. 23, 7667–7682 (2023).10.1109/JSEN.2023.3247834 ↗
5. Shen, Z., Zhu, X., Majidi, C. & Gu, G. Cutaneous ionogel mechanoreceptors for soft machines, physiological sensing, and amputee prostheses. Adv. Mater. 33, 2102069 (2021).10.1002/adma.202102069 ↗
6. Xu, R. et al. Skin-friendly and wearable iontronic touch panel for virtual-real handwriting interaction. ACS Nano 17, 8293–8302 (2023).10.1021/acsnano.2c12612 ↗
7. Dai, S. et al. Emerging iontronic neural devices for neuromorphic sensory computing. Adv. Mater. 35, 2300329 (2023).10.1002/adma.202300329 ↗
8. Luo, J., Remy, A. & Zhang, Y. Iontronic devices from biological nanopores to artificial systems: emerging applications and future perspectives. Chem. Rev. 125, 11840–11877 (2025).10.1021/acs.chemrev.5c00579 ↗
9. Nie, B., Li, R., Cao, J., Brandt, J. D. & Pan, T. Flexible transparent iontronic film for interfacial capacitive pressure sensing. Adv. Mater. 27, 6055–6062 (2015).10.1002/adma.201502556 ↗
10. Huang, Y. et al. Programmable high-sensitivity iontronic pressure sensors support broad human-interactive perception and identification. npj Flex. Electron. 9, 41 (2025).10.1038/s41528-025-00420-9 ↗
11. Gao, L. et al. Highly sensitive pseudocapacitive iontronic pressure sensor with broad sensing range. Nano-Micro Lett. 13, 140 (2021).10.1007/s40820-021-00664-w ↗
12. Li, F. et al. Energy landscape–engineered iontronics enable artificial thermoreceptors for augmented bioinspired thermosensation. Sci. Adv. 11, eady2547 (2025).10.1126/sciadv.ady2547 ↗
13. Li, J., Liu, W., Zhang, Y., Mei, D. & Wang, Y. Development of highly sensitive iontronic-based tri-modal tactile sensor for proximity-pressure-temperature sensing. Adv. Mater. Technol. e00861 (2025).10.1002/admt.202500861 ↗
14. Zheng, Y. et al. Transparent ionogel balancing rigidity and flexibility with prolonged stability for ultra-high sensitivity temperature sensing. Chem. Eng. J. 494, 152695 (2024).10.1016/j.cej.2024.152695 ↗
15. Sun, J. et al. Robust physically linked double-network ionogel as a flexible bimodal sensor. ACS Appl. Mater. Interfaces 12, 14272–14279 (2020).10.1021/acsami.0c01472 ↗
16. Shi, X. et al. Machine learning assisted electronic/ionic skin recognition of thermal stimuli and mechanical deformation for soft robots. Adv. Sci. 11, 2401123 (2024).10.1002/advs.202401123 ↗
17. Lee, J. H. et al. A behavior-learned cross-reactive sensor matrix for intelligent skin perception. Adv. Mater. 32, 2000969 (2020).10.1002/adma.202000969 ↗
18. Ma, C. et al. 3D-printing of conductive inks based flexible tactile sensor for monitoring of temperature, strain and pressure. J. Manuf. Process. 87, 1–10 (2023).10.1016/j.jmapro.2023.01.008 ↗
19. Gao, N. et al. Biomimetic ion channel regulation for temperature-pressure decoupled tactile perception. Small 20, 2302440 (2024).10.1002/smll.202302440 ↗
20. Zhu, H., Luo, H., Cai, M. & Song, J. A multifunctional flexible tactile sensor based on resistive effect for simultaneous sensing of pressure and temperature. Adv. Sci. 11, 2307693 (2024).10.1002/advs.202307693 ↗
21. Li, G., Liu, S., Wang, L. & Rong, Z. Skin-inspired quadruple tactile sensors integrated on a robot hand enable object recognition. Sci. Robot. 5, eabc8134 (2020).10.1126/scirobotics.abc8134 ↗
22. Liu, Y. et al. Triboelectric tactile sensor for pressure and temperature sensing in high-temperature applications. Nat. Comm. 16, 383 (2025).10.1038/s41467-024-55771-0 ↗
23. He, Q. et al. Skin-inspired flexible and printed iontronic sensor enables bimodal sensing of robot skin for machine-learning-assisted object recognition. Nano Energy 134, 110583 (2025).10.1016/j.nanoen.2024.110583 ↗
24. Cao, Y. et al. Intrinsically soft and fully recyclable robotic sensors with quadruple sensing functions for reliable human-robot interactions. Sci. Bull. 70, 2784–2796 (2025).10.1016/j.scib.2025.04.075 ↗
25. Zhang, H. et al. Bioinspired chromotropic ionic skin with in-plane strain/temperature/pressure multimodal sensing and ultrahigh stimuli discriminability. Adv. Funct. Mater. 32, 2208362 (2022).10.1002/adfm.202208362 ↗
26. You, I. et al. Artificial multimodal receptors based on ion relaxation dynamics. Science 370, 961–965 (2020).10.1126/science.aba5132 ↗
27. Wan, T. H., Saccoccio, M., Chen, C. & Ciucci, F. Influence of the discretisation methods on the distribution of relaxation times deconvolution: implementing radial basis functions with DRTtools. Electrochim. Acta 184, 483–499 (2015).10.1016/j.electacta.2015.09.097 ↗
28. Chen, J., Quattrocchi, E., Ciucci, F. & Chen, Y. Charging processes in lithium-oxygen batteries unraveled through the lens of the distribution of relaxation times. Chem. 9, 2267–2281 (2023).10.1016/j.chempr.2023.04.022 ↗
29. Lu, Y., Zhao, C., Huang, J. & Zhang, Q. The timescale identification decoupling complicated kinetic processes in lithium batteries. Joule 6, 1172–1198 (2022).10.1016/j.joule.2022.05.005 ↗
30. Zhang, Q. et al. An electrochemical impedance model of lithium-ion battery for electric vehicle application. J. Energy Storage 50, 104182 (2022).10.1016/j.est.2022.104182 ↗
31. Guo, X., Sun, Z., Zhu, Y. & Lee, C. Zero-biased bionic fingertip E-Skin with multimodal tactile perception and artificial intelligence for augmented touch awareness. Adv. Mater. 36, 2406778 (2024).10.1002/adma.202406778 ↗
32. Lv, D. et al. Microphase-separated elastic and ultrastretchable ionogel for reliable ionic skin with multimodal sensation. Adv. Mater. 36, 2309821 (2024).10.1002/adma.202309821 ↗
33. Yang, Q. et al. Machine learning-enhanced modular ionic skin for broad-Spectrum multimodal discriminability in bidirectional human–robot interaction. Adv. Mater. 37, e08795 (2025).10.1002/adma.202508795 ↗
34. Bai, N. et al. A robotic sensory system with high spatiotemporal resolution for texture recognition. Nat. Commun. 14, 7121 (2023).10.1038/s41467-023-42722-4 ↗
35. Wang, D., Li, B., Niu, S., Han, Z. & Ren, L. Novel iontronic pressure sensor coupling high sensitivity and wide-range for stiffness identification and long-distance precise motion control. Adv. Funct. Mater. 35, 2413551 (2025).10.1002/adfm.202413551 ↗
36. Li, Z. et al. Ultrafast readout, crosstalk suppression iontronic array enabled by frequency-coding architecture. npj Flex. Electron. 8, 9 (2024).10.1038/s41528-024-00295-2 ↗
37. Vyas, S. et al. Electronic structure and spectroscopic analysis of 1-ethyl-3-methylimidazolium bis (trifluoromethylsulfonyl) imide ion pair. J. Phys. Chem. A 118, 6873–6882 (2014).10.1021/jp5035689 ↗
38. Riquelme, R., Lira, I., Perez-Lopez, C., Rayas, J. & Rodriguez-Vera, R. Interferometric measurement of a diffusion coefficient: comparison of two methods and uncertainty analysis. J. Phys. D: Appl. Phys. 40, 2769 (2007).10.1088/0022-3727/40/9/015 ↗
39. Zhang, Z. et al. Polyvinyl alcohol/fluorographene/ carboxylated multi-walled carbon nanotubes composites with excellent insulation and ultra-high thermal conductivity prepared by confined self-assembly. Appl. Mater. Today 43, 102629 (2025).10.1016/j.apmt.2025.102629 ↗
40. Hou, Y., Zhang, H. & Zhou, K. Ultraflexible sensor development via 4D printing: enhanced sensitivity to strain, temperature, and magnetic fields. Adv. Sci. 12, 2411584 (2025).10.1002/advs.202411584 ↗
41. Hou, F. et al. Crosstalk-free impedance-separating array measurement with error compensation for iontronic tactile sensors. IEEE Sens. J. 24, 24533–24547 (2024).10.1109/JSEN.2024.3408158 ↗
42. Sun, W. et al. Heat source recognition sensor mimicking the thermosensation function of human skin. Innovation 5, 100673 (2024).