Journal article
Robust Classifier for the Automated Detection of Ammonia in Heated Plumes by Passive Fourier Transform Infrared Spectrometry
Analytical chemistry (Washington), Vol.75(9), pp.2018-2026
05/01/2003
DOI: 10.1021/ac026105x
PMID: 12720335
Abstract
An automated classification algorithm is implemented for the detection of ammonia vapor in heated plumes by passive Fourier transform infrared (FT-IR) spectrometry. This classification methodology allows the real-time detection of chemical signatures in gaseous effluents such as those generated from industrial processes. The characteristics of real-time implementation and excellent robustness are achieved by an analysis strategy based on the application of band-pass digital filters to short segments of the interferogram data collected by the FT-IR spectrometer, followed by the use of piecewise linear discriminant analysis to obtain a yes/no classification regarding the presence of the analyte signature in the filtered data. The optimal classifier developed through this work is based on only 110 interferogram points and employs a single band-pass filter centered at 945 cm(-)(1) with a pass-band full width at half-maximum of 93 cm(-)(1). The average stop-band attenuation of the optimal filter is 42.1 dB. The robustness of the algorithm is tested by exposing it to chemical releases of sulfur hexafluoride, ethanol, methanol, sulfur dioxide, and hydrogen chloride that were not included in the development of the classifier. Excellent classification performance is demonstrated, with missed ammonia detections occurring at a rate of approximately 1%. The occurrence of false detections is less than 0.1% for SF(6) and less than 0.02% for the other interferences tested.
Details
- Title: Subtitle
- Robust Classifier for the Automated Detection of Ammonia in Heated Plumes by Passive Fourier Transform Infrared Spectrometry
- Creators
- Mukire J Wabomba - Center for Intelligent Chemical Instrumentation, Department of Chemistry and Biochemistry, Ohio University,Athens, Ohio 45701Gary W Small - Center for Intelligent Chemical Instrumentation, Department of Chemistry and Biochemistry, Ohio University,Athens, Ohio 45701
- Resource Type
- Journal article
- Publication Details
- Analytical chemistry (Washington), Vol.75(9), pp.2018-2026
- Publisher
- American Chemical Society
- DOI
- 10.1021/ac026105x
- PMID
- 12720335
- ISSN
- 0003-2700
- eISSN
- 1520-6882
- Language
- English
- Date published
- 05/01/2003
- Academic Unit
- Chemistry
- Record Identifier
- 9984216722502771
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