Manufacture of Planar Interdigitated Capacitive Sensor and RVE Model Validation

Capacitive sensors hold significant promise for biosensors in both gaseous and liquid environments, enabling the detection and monitoring of biochemical compounds through variations in sensor capacitance. This paper aims to manufacture a capacitive sensor and validate its Representative Volume Element (RVE) computational model, aiming to optimize the sensor in future work. The sensor was manufactured using Computerized Numerical Control (CNC) laser, employing a planar geometry with a 15-finger interdigitated capacitor and FR4 dielectric. The sensor capacitance value was measured in different mediums (air, water, ethanol, and various water-ethanol solutions) using a Vector Network Analyzer (VNA). The RVE model was adapted and simulated using Comsol Multiphysics software, validating its behavior and ability to accurately represent the sensor with an error margin below 10%. This study demonstrates the feasibility of using the RVE model to optimize capacitive sensors and highlights the importance of simulation software and techniques such as Finite Element Method (FEM) in biosensor development.

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Publication Details

Published
2024-09-02
DOI
https://doi.org/10.1109/inscit62583.2024.10693392
Citations
3
Primary Topic
Sensor Technology and Measurement Systems
Type
article
Field-Weighted Citation Impact
1.05
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article

Manufacture of Planar Interdigitated Capacitive Sensor and RVE Model Validation

Martine Sébéloué, Maxence Rube, Ollivier Tamarin, Raimundo C. S. Freire et al.
3 citations
Sensor Technology and Measurement Systems
1.05
article

Manufacture of Planar Interdigitated Capacitive Sensor and RVE Model Validation

Martine Sébéloué, Maxence Rube, Ollivier Tamarin, Raimundo C. S. Freire, Jalberth F. Araújo, Henrique D. Silva, Sávio C. Bezerra, Yasmin A. Eustáquio, Maria Nathália Freitas Nunes
article en
3 citations

Abstract

Capacitive sensors hold significant promise for biosensors in both gaseous and liquid environments, enabling the detection and monitoring of biochemical compounds through variations in sensor capacitance. This paper aims to manufacture a capacitive sensor and validate its Representative Volume Element (RVE) computational model, aiming to optimize the sensor in future work. The sensor was manufactured using Computerized Numerical Control (CNC) laser, employing a planar geometry with a 15-finger interdigitated capacitor and FR4 dielectric. The sensor capacitance value was measured in different mediums (air, water, ethanol, and various water-ethanol solutions) using a Vector Network Analyzer (VNA). The RVE model was adapted and simulated using Comsol Multiphysics software, validating its behavior and ability to accurately represent the sensor with an error margin below 10%. This study demonstrates the feasibility of using the RVE model to optimize capacitive sensors and highlights the importance of simulation software and techniques such as Finite Element Method (FEM) in biosensor development.

Universidade Federal de Campina Grande (BR)
Affordable and clean energy
Openalex Percentile: Top 21%
Sensor Technology and Measurement Systems
1.05
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Manufacture of Planar Interdigitated Capacitive Sensor and RVE Model Validation — Martine Sébéloué, Maxence Rube, et al. · (2024) | TGRS Research Map | TGRS