Detection of ammonia in near infrared region considering the effect of cross sensivity

Ammonia gases have their own advantages and disadvantages; however it is important to monitar ammonia emission to avoid hazardous level. Ultraviolet or broadband Infrared absorption, and Photothermal Deflection prevent the speciesconversion, time delay, and adsorption problems associated with tradit...

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Main Author:	Hussin, Nabihah
Format:	Thesis
Language:	English
Published:	2013
Subjects:	QC Physics
Online Access:	http://eprints.utm.my/id/eprint/42091/5/NabihahHussinMFKE2013.pdf
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id	my-utm-ep.42091
record_format	uketd_dc
spelling	my-utm-ep.420912017-06-21T01:48:05Z Detection of ammonia in near infrared region considering the effect of cross sensivity 2013-11 Hussin, Nabihah QC Physics Ammonia gases have their own advantages and disadvantages; however it is important to monitar ammonia emission to avoid hazardous level. Ultraviolet or broadband Infrared absorption, and Photothermal Deflection prevent the speciesconversion, time delay, and adsorption problems associated with traditional sampling systems, but often use expensive, bulky or delicate radiation sources that are not suitable for commercialisation. In gas detection, cross sensitivity is one of the constraints since the air consists of a variety of gases. A few techniques were introduced such as using gas separation techniques or ratio calculation to overcome the problem. For ammonia gas sensing, it has been reported that the cross sensitivity with humidity is the main problem and this occurs in certain wavelength ranges. This is a strong indication that cross sensitivity for ammonia emission monitoring must be modelled. Choosing suitable wavelength of ammonia with minimal cross sensitivity effect can reduce the effect of cross sensitivity at infrared region. In this numerical prediction analysis, the optical transmission of ammonia was obtained through a model developed using a commercial simulator SpectralCalc-GATS, OptiSystem and Matlab. The developed model is then interfaced with the integrated sensor system model using OptiSystem for system performance and characterisation. The simulation shows that ammonia absorption cross section within 2200 nm to 2400 nm region has less cross sensitivity issues. It is not possible to discuss the cross sensitivity issue for every single atmospheric gas as there are too many gases in the atmosphere and the amount is small and subject to the surrounding environment. These simulations consider other gases such as CO2 and H2O Proper cross sensitivity is able to be simulated and characterised through the sensor model developed through this research. 2013-11 Thesis http://eprints.utm.my/id/eprint/42091/ http://eprints.utm.my/id/eprint/42091/5/NabihahHussinMFKE2013.pdf application/pdf en public masters Universiti Teknologi Malaysia, Faculty of Electrical Engineering Faculty of Electrical Engineering
institution	Universiti Teknologi Malaysia
collection	UTM Institutional Repository
language	English
topic	QC Physics
spellingShingle	QC Physics Hussin, Nabihah Detection of ammonia in near infrared region considering the effect of cross sensivity
description	Ammonia gases have their own advantages and disadvantages; however it is important to monitar ammonia emission to avoid hazardous level. Ultraviolet or broadband Infrared absorption, and Photothermal Deflection prevent the speciesconversion, time delay, and adsorption problems associated with traditional sampling systems, but often use expensive, bulky or delicate radiation sources that are not suitable for commercialisation. In gas detection, cross sensitivity is one of the constraints since the air consists of a variety of gases. A few techniques were introduced such as using gas separation techniques or ratio calculation to overcome the problem. For ammonia gas sensing, it has been reported that the cross sensitivity with humidity is the main problem and this occurs in certain wavelength ranges. This is a strong indication that cross sensitivity for ammonia emission monitoring must be modelled. Choosing suitable wavelength of ammonia with minimal cross sensitivity effect can reduce the effect of cross sensitivity at infrared region. In this numerical prediction analysis, the optical transmission of ammonia was obtained through a model developed using a commercial simulator SpectralCalc-GATS, OptiSystem and Matlab. The developed model is then interfaced with the integrated sensor system model using OptiSystem for system performance and characterisation. The simulation shows that ammonia absorption cross section within 2200 nm to 2400 nm region has less cross sensitivity issues. It is not possible to discuss the cross sensitivity issue for every single atmospheric gas as there are too many gases in the atmosphere and the amount is small and subject to the surrounding environment. These simulations consider other gases such as CO2 and H2O Proper cross sensitivity is able to be simulated and characterised through the sensor model developed through this research.
format	Thesis
qualification_level	Master's degree
author	Hussin, Nabihah
author_facet	Hussin, Nabihah
author_sort	Hussin, Nabihah
title	Detection of ammonia in near infrared region considering the effect of cross sensivity
title_short	Detection of ammonia in near infrared region considering the effect of cross sensivity
title_full	Detection of ammonia in near infrared region considering the effect of cross sensivity
title_fullStr	Detection of ammonia in near infrared region considering the effect of cross sensivity
title_full_unstemmed	Detection of ammonia in near infrared region considering the effect of cross sensivity
title_sort	detection of ammonia in near infrared region considering the effect of cross sensivity
granting_institution	Universiti Teknologi Malaysia, Faculty of Electrical Engineering
granting_department	Faculty of Electrical Engineering
publishDate	2013
url	http://eprints.utm.my/id/eprint/42091/5/NabihahHussinMFKE2013.pdf
_version_	1747816687549284352

Detection of ammonia in near infrared region considering the effect of cross sensivity

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