Atomic-to-Nanoscale Silver Design on g-C <sub>3</sub> N <sub>4</sub> for Broad-Range Flexible Pressure Sensors

Flexible pressure sensors play an essential role in wearable electronics, human–machine interfaces, and physiological monitoring systems. Achieving both high sensitivity and a wide dynamic range remains a major challenge. Here we report a piezoresistive flexible pressure sensor based on graphitic carbon nitride (g-C3N4) that addresses this longstanding trade-off through multiscale dimensional engineering of silver (Ag)-based sensing materials. Three Ag-based materials with distinct dimensional characteristics, Ag single atoms, Ag single atom cluster hybrids, and Ag nanoparticles, were synthesized and their piezoresistive behaviors were evaluated across different pressure regimes. The sensor exhibits an ultrafast response and recovery time of 0.5/0.4 s and high reproducibility. Sensing performance shows pronounced size-dependent behavior with nanoparticles providing a robust response at high pressures (>4.5 kPa), single atom cluster hybrids showing optimal sensitivity in the intermediate range (3–4.5 kPa), and single atom sites exhibiting comparable behavior to single atom cluster hybrids at low pressures (<3 kPa). Integration into a robotic hand demonstrates the sensor’s practical applicability, enabling precise tactile control under low pressure (0.85 kPa). This work establishes a generalizable strategy for decoupling sensitivity and dynamic range by engineering Ag from atomic to nanoscopic scales, offering broad applicability in wearable electronic and robotic tactile systems.

Authors

Institutions

Publication Details

Journal
ACS Applied Electronic Materials
Published
2025-12-22
DOI
https://doi.org/10.1021/acsaelm.5c01883
Primary Topic
Advanced Sensor and Energy Harvesting Materials
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Atomic-to-Nanoscale Silver Design on g-C 3 N 4 for Broad-Range Flexible Pressure Sensors

Guanjun Bao, Yunfeng Nie, X. H. Li, Sanzhao Song et al.
ACS Applied Electronic Materials
Advanced Sensor and Energy Harvesting Materials
article

Atomic-to-Nanoscale Silver Design on g-C 3 N 4 for Broad-Range Flexible Pressure Sensors

Guanjun Bao, Yunfeng Nie, X. H. Li, Sanzhao Song, Chuanguo Tang, Fengping Li, Yanfei Liao
article en

Abstract

Flexible pressure sensors play an essential role in wearable electronics, human–machine interfaces, and physiological monitoring systems. Achieving both high sensitivity and a wide dynamic range remains a major challenge. Here we report a piezoresistive flexible pressure sensor based on graphitic carbon nitride (g-C3N4) that addresses this longstanding trade-off through multiscale dimensional engineering of silver (Ag)-based sensing materials. Three Ag-based materials with distinct dimensional characteristics, Ag single atoms, Ag single atom cluster hybrids, and Ag nanoparticles, were synthesized and their piezoresistive behaviors were evaluated across different pressure regimes. The sensor exhibits an ultrafast response and recovery time of 0.5/0.4 s and high reproducibility. Sensing performance shows pronounced size-dependent behavior with nanoparticles providing a robust response at high pressures (>4.5 kPa), single atom cluster hybrids showing optimal sensitivity in the intermediate range (3–4.5 kPa), and single atom sites exhibiting comparable behavior to single atom cluster hybrids at low pressures (<3 kPa). Integration into a robotic hand demonstrates the sensor’s practical applicability, enabling precise tactile control under low pressure (0.85 kPa). This work establishes a generalizable strategy for decoupling sensitivity and dynamic range by engineering Ag from atomic to nanoscopic scales, offering broad applicability in wearable electronic and robotic tactile systems.

ACS Applied Electronic MaterialsVol. 8(1)
Vrije Universiteit Brussel (BE), Wenzhou University (CN), Intelligent Mechatronic Systems (United States) (US), University of Chinese Academy of Sciences (CN), Zhejiang University of Technology (CN)
Openalex Percentile: Top 43%
Advanced Sensor and Energy Harvesting Materials
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.