Detection of Carbon Monoxide in Automobile Exhaust Based on Photoacoustic Spectroscopy

DOI: https://doi.org/10.62517/jes.202402402

Author(s)

Yuanhan Chen*

Affiliation(s)

School of Optoelectronic Engineering and Instrumentation Science, Dalian University of Technology, Dalian, Liaoning, China *Corresponding Author.

Abstract

To enable the detection of carbon monoxide (CO) in automobile exhaust, this study designs and implements a CO detection system based on photoacoustic spectroscopy. By optimizing the excitation light source, photoacoustic cell, signal processing unit, and data acquisition module, the key challenges of sensitivity, stability, and signal-to-noise ratio in real-time monitoring are effectively addressed. Experimental results demonstrate that the system performs excellently within the concentration range of 120 ppm to 1200 ppm, with a maximum relative error not exceeding 1.8%. These results verify the system's high sensitivity and accuracy. The system shows significant potential for widespread application, providing reliable data support for automobile exhaust monitoring.

Keywords

Photoacoustic Spectroscopy; Automobile Exhaust; Carbon Monoxide Detection; Photoacoustic Effect

References

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