Modeling of photoacoustic vapor sensors using a multiphysics approach

Photoacoustic spectroscopy (PAS) is a useful monitoring technique that is well suited for trace gas detection. This method routinely exhibits detection limits at the parts-per-million (ppm) or parts-per-billion (ppb) level for gaseous samples. PAS also possesses favorable detection characteristics when the system dimensions are scaled to a microsystem design. One of the central issues related to sensor miniaturization is optimization of the photoacoustic cell geometry, especially in relationship to high acoustical amplification and reduced system noise. Current work utilizes finite element analysis software to develop a model for the characterization of a photoacoustic cell that has provided favorable vapor detection capabilities in a sensor platform. The model is used to predict the acoustic resonance frequency of the cell and the results are compared to experimental data.

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