Finite Element Simulation Model of Metallic Thermal Conductivity Detectors for Compact Air Pollution Monitoring Devices
Josée Mallah, Luigi G. Occhipinti

TL;DR
This paper presents a simulation model for thermal conductivity gas sensors to detect air pollutants effectively.
Contribution
A finite element simulation model for thermal conductivity detectors is developed to improve air pollution monitoring.
Findings
The resistance of the sensor depends on the surrounding gas's thermal conductivity.
Sensitivity and power consumption are influenced by the metal's properties.
Electrode resistance is linearly related to the applied voltage.
Abstract
Air pollution has been associated with several health problems. Detecting and measuring the concentration of harmful pollutants present in complex air mixtures has been a long-standing challenge, due to the intrinsic difficulty of distinguishing among these substances from interferent species and environmental conditions, both indoor and outdoor. Despite all efforts devoted by the scientific and industrial communities to tackling this challenge, the availability of suitable device technologies able to selectively discriminate these pollutants present in the air at minute, yet dangerous, concentrations and provide a quantitative measure of their concentrations is still an unmet need. Thermal conductivity detectors (TCDs) show promising characteristics that make them ideal gas sensing tools capable of recognising different gas analytes based on their physical fingerprint characteristics…
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Taxonomy
TopicsGas Sensing Nanomaterials and Sensors · Advanced Chemical Sensor Technologies · Air Quality Monitoring and Forecasting
