A Sensitivity Enhancement Strategy for Capacitive Pressure Sensors Embedded in Microchannels via Reference Pressure Control

Pressure measurement in microchannels is crucial for understanding fluid flow behavior and advancing microfluidic device development. However, the micrometer-scale dimensions of microchannels impose significant constraints on the size and sensitivity of embedded pressure sensors, making insufficient sensitivity a primary challenge in pressure measurement. This study proposes a strategy to enhance the sensitivity of capacitive pressure sensors embedded in microchannels by controlling the reference pressure. Firstly, by analyzing the nonlinear output of conventional circular capacitive pressure sensors operating in the normal mode, the sensitivity characteristics of the sensors are determined as the theoretical basis for the proposed strategy. Subsequently, based on this foundation, the core concept of the strategy is developed: adjusting the reference pressure to maintain the pressure difference across the pressure-sensing diaphragm within the range that ensures the required sensitivity for measurement. And the unknown pressure to be measured is determined by subtracting the reference pressure from the measured pressure difference. Finally, a demonstration experiment is conducted to measure gas pressure fluctuations (0–0.10 kPa and 0–0.05 kPa, gauge pressure) and liquid sinusoidal pulsating flows with Reynolds numbers of 55–111, 111–166, and 166–222. The experimental results demonstrate that by controlling the reference pressure, the sensor sensitivity is 7.48 to 9.64 times that achieved under conventional atmospheric reference pressure conditions, effectively validating the feasibility and effectiveness of the proposed strategy.

Authors

Institutions

Publication Details

Journal
IEEE Sensors Journal
Published
2025-07-14
DOI
https://doi.org/10.1109/jsen.2025.3586687
Primary Topic
Advanced MEMS and NEMS Technologies
Type
article
Field-Weighted Citation Impact
0.00

Funders

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

A Sensitivity Enhancement Strategy for Capacitive Pressure Sensors Embedded in Microchannels via Reference Pressure Control

Zhi Tao, Tiantong Xu, Yanxin Zhai, Xiaoda Cao et al.
IEEE Sensors Journal
Advanced MEMS and NEMS Technologies
article

A Sensitivity Enhancement Strategy for Capacitive Pressure Sensors Embedded in Microchannels via Reference Pressure Control

Zhi Tao, Tiantong Xu, Yanxin Zhai, Xiaoda Cao, Haiwang Li
article en

Abstract

Pressure measurement in microchannels is crucial for understanding fluid flow behavior and advancing microfluidic device development. However, the micrometer-scale dimensions of microchannels impose significant constraints on the size and sensitivity of embedded pressure sensors, making insufficient sensitivity a primary challenge in pressure measurement. This study proposes a strategy to enhance the sensitivity of capacitive pressure sensors embedded in microchannels by controlling the reference pressure. Firstly, by analyzing the nonlinear output of conventional circular capacitive pressure sensors operating in the normal mode, the sensitivity characteristics of the sensors are determined as the theoretical basis for the proposed strategy. Subsequently, based on this foundation, the core concept of the strategy is developed: adjusting the reference pressure to maintain the pressure difference across the pressure-sensing diaphragm within the range that ensures the required sensitivity for measurement. And the unknown pressure to be measured is determined by subtracting the reference pressure from the measured pressure difference. Finally, a demonstration experiment is conducted to measure gas pressure fluctuations (0–0.10 kPa and 0–0.05 kPa, gauge pressure) and liquid sinusoidal pulsating flows with Reynolds numbers of 55–111, 111–166, and 166–222. The experimental results demonstrate that by controlling the reference pressure, the sensor sensitivity is 7.48 to 9.64 times that achieved under conventional atmospheric reference pressure conditions, effectively validating the feasibility and effectiveness of the proposed strategy.

IEEE Sensors JournalVol. 25(16)
Beihang University (CN)
China Postdoctoral Science Foundation, Beijing Municipal Natural Science Foundation
Affordable and clean energy
Openalex Percentile: Top 85%
Advanced MEMS and NEMS Technologies
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.