A Hierarchical Contact–Electrification Interface Based on Gradient Micro-/Nanostructured Hydrogel for Cardiovascular Disease Monitoring

Accurate monitoring of pulses is essential for assessing cardiovascular health. However, the specificity of the pulse wave depends on prestress applied to a wearable sensor. Here, we introduce a progressive contact area compensation strategy, which greatly extends the detection range of the sensor's high-sensitivity region. It features a hierarchical flower surface structure and a gradient micro-/nanostructured hydrogel as the dielectric layer, compensating for the output decrease resulting from pressure hardening by gradually increasing the contact area between the contact-electrification interfaces. Consequently, the gradient micro-/nanostructured hydrogel, fabricated via electric field induction, enables the sensor's high-sensitivity region to reach 1.1-52.2 kPa, a 5-fold improvement over that of comparable sensors. By integrating prestress adaptive units, signal processing modules, and a peak seeking algorithm, we develop a wireless wristband for continuous monitoring of cardiovascular status and blood pressure. Importantly, a preliminary 10 day blood pressure test on 22 volunteers showed an error margin of less than ±5 mm Hg, demonstrating its potential as a cardiovascular health product.

Authors

Institutions

Publication Details

Journal
ACS Nano
Published
2025-05-05
DOI
https://doi.org/10.1021/acsnano.5c00313
Citations
6
Primary Topic
Advanced Sensor and Energy Harvesting Materials
Type
article
Field-Weighted Citation Impact
4.04

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A Hierarchical Contact–Electrification Interface Based on Gradient Micro-/Nanostructured Hydrogel for Cardiovascular Disease Monitoring

Yina Liu, Lingjie Xie, Lei Hao, Xuhui Sun et al.
6 citations
ACS Nano
Advanced Sensor and Energy Harvesting Materials
4.04
article

A Hierarchical Contact–Electrification Interface Based on Gradient Micro-/Nanostructured Hydrogel for Cardiovascular Disease Monitoring

Yina Liu, Lingjie Xie, Lei Hao, Xuhui Sun, Bohan Lu, Zhen Wen, Liming Zhang, Haifeng Ji, Haicheng Gu, Zhenqiu Gao
article en
6 citations

Abstract

Accurate monitoring of pulses is essential for assessing cardiovascular health. However, the specificity of the pulse wave depends on prestress applied to a wearable sensor. Here, we introduce a progressive contact area compensation strategy, which greatly extends the detection range of the sensor's high-sensitivity region. It features a hierarchical flower surface structure and a gradient micro-/nanostructured hydrogel as the dielectric layer, compensating for the output decrease resulting from pressure hardening by gradually increasing the contact area between the contact-electrification interfaces. Consequently, the gradient micro-/nanostructured hydrogel, fabricated via electric field induction, enables the sensor's high-sensitivity region to reach 1.1-52.2 kPa, a 5-fold improvement over that of comparable sensors. By integrating prestress adaptive units, signal processing modules, and a peak seeking algorithm, we develop a wireless wristband for continuous monitoring of cardiovascular status and blood pressure. Importantly, a preliminary 10 day blood pressure test on 22 volunteers showed an error margin of less than ±5 mm Hg, demonstrating its potential as a cardiovascular health product.

ACS NanoVol. 19(19)
Institute of Molecular Functional Materials (CN), Xi’an Jiaotong-Liverpool University (CN)
National Natural Science Foundation of China, Natural Science Foundation of Jiangsu Province, Collaborative Innovation Center of Suzhou Nano Science and Technology, Higher Education Discipline Innovation Project, Natural Science Research of Jiangsu Higher Education Institutions of China, National Key Research and Development Program of China
Openalex Percentile: Top 6%
Advanced Sensor and Energy Harvesting Materials
4.04
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.