Ultrahigh-Sensitivity Resonant Liquid Sensor Based on 3-D Comb-Shaped Capacitive Structures

In this article, an ultrahigh -sensitivity microwave liquid sensor based on a 3-D comb-shaped capacitive (CSC) structure is developed for detecting the relative permittivity of liquid samples. The utilization of the CSC structure can significantly increase the capacitance associated with the liquid under test (LUT) within the total capacitance, thereby offering a large variation in the capacitance when the liquid sample is loaded. This structure confines the electric field within the grooves of the comb-like configuration and forms a parallelLC-resonator with a spiral inductor. Its exceptional capacitance variation makes it a preferable alternative to planar resonator structures. As the proposed sensor can be manufactured using a standard printed circuit board (PCB) process and does not need liquid containers, such as polydimethylsiloxane substrate, its cost is relatively low. When the liquid sample is loaded, the sensor’s reflection coefficient changes, and the relative permittivity of liquid can be deduced from the variations in resonance frequency and notch depth. A prototype of the proposed sensor is fabricated and tested, and the measured results demonstrate that the sensor has good sensitivity for characterizing liquids with low relative permittivity.

Authors

Institutions

Publication Details

Journal
IEEE Sensors Journal
Published
2024-10-25
DOI
https://doi.org/10.1109/jsen.2024.3484001
Citations
4
Primary Topic
Analytical Chemistry and Sensors
Type
article
Field-Weighted Citation Impact
1.16

Funders

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

Ultrahigh-Sensitivity Resonant Liquid Sensor Based on 3-D Comb-Shaped Capacitive Structures

Wen‐Jing Wu, Jiahao Pan, Lingling Sun, Xiaoping Hu et al.
4 citations
IEEE Sensors Journal
Analytical Chemistry and Sensors
1.16
article

Ultrahigh-Sensitivity Resonant Liquid Sensor Based on 3-D Comb-Shaped Capacitive Structures

Wen‐Jing Wu, Jiahao Pan, Lingling Sun, Xiaoping Hu, Wen‐Sheng Zhao, Qi Qiang Liu, Jun Liu, Da‐Wei Wang
article en
4 citations

Abstract

In this article, an ultrahigh -sensitivity microwave liquid sensor based on a 3-D comb-shaped capacitive (CSC) structure is developed for detecting the relative permittivity of liquid samples. The utilization of the CSC structure can significantly increase the capacitance associated with the liquid under test (LUT) within the total capacitance, thereby offering a large variation in the capacitance when the liquid sample is loaded. This structure confines the electric field within the grooves of the comb-like configuration and forms a parallelLC-resonator with a spiral inductor. Its exceptional capacitance variation makes it a preferable alternative to planar resonator structures. As the proposed sensor can be manufactured using a standard printed circuit board (PCB) process and does not need liquid containers, such as polydimethylsiloxane substrate, its cost is relatively low. When the liquid sample is loaded, the sensor’s reflection coefficient changes, and the relative permittivity of liquid can be deduced from the variations in resonance frequency and notch depth. A prototype of the proposed sensor is fabricated and tested, and the measured results demonstrate that the sensor has good sensitivity for characterizing liquids with low relative permittivity.

IEEE Sensors JournalVol. 24(23)
Hangzhou City University, Hangzhou Dianzi University (CN)
National Natural Science Foundation of China, Fundamental Research Funds for the Central Universities
Affordable and clean energy
Openalex Percentile: Top 24%
Analytical Chemistry and Sensors
1.16
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.