Development of microfluidic-based olfaction system for nuisance sewer gas monitoring
department or school: Applied Science, Faculty of
department or school: Mechanical Engineering, Department of
data provider: DSpace
degree campus: UBCO
creator: Mohaghegh Montazeri, Mahyar
issued: 2018-09-20T21:47:03Z
issued: 2018
related degree: Master of Applied Science - MASc
degree grantor: University of British Columbia
description: Nuisance compounds such as hydrogen sulfide (HâS) are the main cause of unpleasant odors and corrosion in sewer pipes. The available chemical treatment methods are expensive and have negative side effects. Hotspot monitoring, identifying specific locations for targeted treatment, minimizes the use of chemicals and their negative impacts. This thesis presents microfluidic-based artificial olfaction detectors for hotspot monitoring of nuisance sewer compounds. The detector is fabricated using a highly-selective microchannel coupled with a sensitive metal oxide semiconductor (MOS) sensor. To study the role of the detectorâs dimension and the behavior of different analytes in the detector, a comprehensive 3D numerical model is developed. In essence the model simulates the effects of diffusion, surface adsorption/desorption, chemical reactions on the MOS sensor, and heat and momentum transfer due to the MOS heating element. After verification/validation of the numerical model, it is used to compare the effect of the above-mentioned phenomena on the detector response. The results show that diffusion is the main parameter affecting the response, followed by surface adsorption/desorption; heat and momentum transfer has a minimum effect on the response. The model is also used to investigate the effect of the detectorâs dimension (including microchannel length, microchannel height, and MOS sensor housing volume) on its performance in terms of sensitivity, selectivity and the recovery time. The results show that there is a trade-off between selectivity and sensitivity; thus, a sum indicator is defined to investigate the overall performance for various conditions. To obtain the experimental responses for different concentrations of HâS, a setup (consisting of a custom-built syringe pump, automated sample delivery, vaporization chamber, and detector) is developed. The detector responses are calibrated using gas chromatography and analyzed by feature extraction methods. To study …
aggregated CHO: https://circle.library.ubc.ca/rest/handle/2429/67222
note: i DEVELOPMENT OF MICROFLUIDIC-BASED OLFACTION SYSTEM FOR NUISANCE SEWER GAS MONITORING by Mahyar Mohaghegh Montazeri B.Sc., University of Tehran, 2015 A THESIS SUBMITTED IN PARTIAL FULFILLMENT OF THE REQUIREMENTS FOR THE DEGREE OF MASTER OF APPLIED SCIENCE in THE COLLEGE OF GRADUATE STUDIES (Mechanical Engineering) THE UNIVERSITY OF BRITISH COLUMBIA (Okanagan) September 2018 © Mahyar Mohaghegh Montazeri, 2018 ii The following individuals certify that they have read, and recommend to the College of Graduate Studies for acceptance, a thesis/dissertation entitled: DEVELOPMENT OF MICROFLUIDIC-BASED OLFACTION SYSTEM FOR NUISANCE SEWER GAS MONITORING submitted by Mahyar Mohaghegh Montazeri in partial fulfillment of the requirements of the degree of Master of Applied Science . Dr. Mina Hoorfar, School of Engineering Supervisor Dr. Homayoun Najjaran, School of Engineering Supervisory Committee Member Dr. Jonathan F. Holzman, School of Engineering Supervisory Committee Member Dr. Chen Feng, School of Engineering University Examiner iii Abstract Nuisance compounds such as hydrogen sulfide (H2S) are the main cause of unpleasant odors and corrosion in sewer pipes. The available chemical treatment methods are expensive and have negative side effects. Hotspot monitoring, identifying specific locations for targeted treatment, minimizes the use of chemicals and their negative impacts. This thesis presents microfluidic-based artificial olfaction detectors for hotspot monitoring of nuisance sewer compounds. The detector is fabricated using a highly-selective microchannel coupled with a sensitive metal oxide semiconductor (MOS) sensor. To study the role of the detectorâs dimension and the behavior of different analytes in the detector, a comprehensive 3D numerical model is developed. In essence the model simulates the effects of diffusion, surface adsorption/desorption, chemical reactions on the MOS sensor, and heat and momentum transfer due to the MOS heating element. After verifica…
has type: Thesis/Dissertation
date issued: 2018-11
is shown at: 10.14288/1.0372128
language: eng
degree discipline: Mechanical Engineering
provider: Vancouver : University of British Columbia Library
publisher: University of British Columbia
rights: Attribution-NonCommercial-NoDerivatives 4.0 International
rights URI: http://creativecommons.org/licenses/by-nc-nd/4.0/
scholar level: Graduate
type: Text
identifier URI: http://hdl.handle.net/2429/67222