Theoretical modelling studies of gas-sensing systems using correlation spectroscopy

Paul Chambers; E. A. D. Austin; John P. Dakin

doi:10.1117/12.536962

8 March 2004 Theoretical modelling studies of gas-sensing systems using correlation spectroscopy

Paul Chambers, E. A. D. Austin, John P. Dakin

Author Affiliations +

Proceedings Volume 5272, Industrial and Highway Sensors Technology; (2004) https://doi.org/10.1117/12.536962
Event: Optical Technologies for Industrial, Environmental, and Biological Sensing, 2003, Providence, RI, United States

Abstract

Monitoring the concentration of gaseous O₂, CO₂ and CH₄ is needed for many environmental, medical and industrial applications. We model the COSM method of correlation spectroscopy, where two broadband light sources are intensity modulated in antiphase, the first being directed via the measurement cell after first passing through the reference sample, the second being more directly-coupled. The subsequent difference in fractional attenuation in the measurement cell indicates the concentration of target gas in this cell. Using data from the HITRAN database, comprehensive analyses are presented to predict the optical modulation index and the signal to noise ratio at the detector, as a function of optical filter properties, and for various gas temperatures and pressures (concentrations). The predicted detection sensitivities are presented for each gas.

Citation Download Citation

Paul Chambers, E. A. D. Austin, and John P. Dakin "Theoretical modelling studies of gas-sensing systems using correlation spectroscopy", Proc. SPIE 5272, Industrial and Highway Sensors Technology, (8 March 2004); https://doi.org/10.1117/12.536962

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

;

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE