2026-10-11T18:37:52Z https://api.figshare.com/v2/oai

oai:figshare.com:article/34018707 2026-09-29T00:06:12Z category_1 category_146 category_14 category_21 category_873 category_734 category_931 portal_63 item_type_2 month_year_09_2026

Ultrastable Wide-Range Capacitive Pressure Sensors with CNTs-Pinned PDMS Foam Composite Dielectrics for Intelligent Tactile Perception Bangbang Nie (4587928) Mengqi Wang (421473) Jinyu Wang (381467) Tengke Cui (21218623) Haoran Chen (6927752) Xiaodong Zhao (327921) Jingjiang Qiu (3737197) Hong Hu (62885) Ronghan Wei (16726841) Biophysics Space Science Molecular Biology Biotechnology Chemical Sciences not elsewhere classified Biological Sciences not elsewhere classified Information Systems not elsewhere classified reduce filler rearrangement preferentially distributed along foam composite dielectrics attracted considerable attention soft robotic gripper 9 × 10 broad pressure detection intelligent fruit monitoring 7 × 10 robotic manipulation intelligent robotics detection limit pressure regions pressure range work provides wearable electronics ultrastable wide type classification tomato storage templating strategy tactile sensing synergistic low step emulsion stage classification sensor achieves scalable strategy robust stability repeated deformation recovery times pore walls pinned architecture machine interfaces fold enhancement facile one dielectric effect developed via carbon nanotubes also exhibits 92 ms 000 cycles Flexible capacitive pressure sensors have attracted considerable attention for wearable electronics, intelligent robotics, and human-machine interfaces, yet achieving high sensitivity, broad pressure detection, and long-term stability remains challenging. Herein, carbon nanotubes (CNTs)-pinned porous polydimethylsiloxane (PDMS) foam composite dielectrics are developed via a facile one-step emulsion-templating strategy. The CNTs are preferentially distributed along the PDMS skeleton and pore walls, forming a CNTs-pinned architecture that is expected to reduce filler rearrangement during repeated deformation. Benefiting from the synergistic low-modulus and high-dielectric effect, the sensor achieves a pressure range of 0–450 kPa with sensitivities of 68.9 × 10^–3 kPa^–1, 18.9 × 10^–3 kPa^–1, and 8.7 × 10^–3 kPa^–1 in the low-, medium-, and high-pressure regions, respectively. It also exhibits a 31.3-fold enhancement in sensitivity over pristine PDMS, with a detection limit of 8.8 Pa, response/recovery times of 87/92 ms, and robust stability over 10,000 cycles. Furthermore, when integrated into a soft robotic gripper, three sensors achieve 99.4% accuracy in fruit-type classification and 99.7% accuracy in tomato storage-stage classification. This work provides a scalable strategy for engineering stable porous composite dielectrics and demonstrates the potential of tactile sensing for intelligent fruit monitoring and robotic manipulation. 2026-09-28T00:00:00Z Dataset Media 10.1021/acsapm.6c02861.s001 https://figshare.com/articles/media/Ultrastable_Wide-Range_Capacitive_Pressure_Sensors_with_CNTs-Pinned_PDMS_Foam_Composite_Dielectrics_for_Intelligent_Tactile_Perception/34018707 CC BY-NC 4.0