Graduation Year
2022
Document Type
Thesis
Degree
M.S.M.S.E.
Degree Name
MS in Materials Science and Engineering (M.S.M.S.E)
Degree Granting Department
Chemical Engineering
Major Professor
Venkat Bhethanabotla, Ph.D.
Committee Member
Jason Fleming, M.D.
Committee Member
Ramesh Ayyala, M.D.
Keywords
Benzene, Carcinogens, Rayleigh, Surface Acoustic Waves, Toluene
Abstract
Light aromatic hydrocarbons are an inevitable byproduct of fossil fuel extraction, refinement, distribution, and use. The four lightest and most prevalent of these are benzene, toluene, ethylbenzene, and xylene, which are known collectively as BTEX. In spite of their chemical similarity these species have markedly different effects on human health and substantially different concentrations are permitted by OSHA in workplaces and by the EPA in ambient air and groundwater. Real-time detection, identification, and quantification of these species is therefore of great importance wherever they see industrial use.This work represents the continuation and advancement of a line of research in which surface acoustic wave sensors were used to measure the mass of benzene sorbed from the vapor phase onto a polymer-plasticizer layer. In this work a dual delay line was used to mitigate the effects of environmental noise and PEMA-DIOA sorption layers of varying plasticizer concentrations were exposed to benzene and toluene vapors having concentrations ranging from 500 ppm down to the limit of detection.
Scholar Commons Citation
Samuelson, Jonathan, "Development of an Automated Platform for Sensing and Differentiating Vapor-Phase BTEX Constituents" (2022). USF Tampa Graduate Theses and Dissertations.
https://digitalcommons.usf.edu/etd/9814
Included in
Computer Sciences Commons, Electrical and Computer Engineering Commons, Materials Science and Engineering Commons