Chemical and Biological Engineering ETDs
Publication Date
Fall 12-17-2022
Abstract
Volatile organic compounds (VOCs) are of great interest and the subject of much research, as they can be used in various applications. Preconcentrating this class of analytes is necessary as they can be elusive with simple sampling techniques. VOCs are often captured using sorbents in thermal desorption tubes as preconcentrates prior to analysis, commonly gas chromatography mass spectroscopy (GCMS). There are gaps in knowledge in behavior of materials used as sorbents i.e., if they will retain an analyte of interest appropriately. In this research I seek to eliminate speculation and unknown variables of analyte and sorbent combinations by creating a predictive database. This database models how analytes will elute through specific preconcentrator sorbents, using retention index. The predictions from this database are then interrogated with laboratory experimentation. This database may be used as a general tool that can be applied to any analyte, improving understanding of single beds.
Keywords
Sorbent, Preconcentration, Volatile Organic Compounds, Gas Chromatography, Mass Spectroscopy, Thermal Desorption Unit
Document Type
Thesis
Language
English
Degree Name
Chemical Engineering
Level of Degree
Masters
Department Name
Chemical and Biological Engineering
First Committee Member (Chair)
Fernando Garzon
Second Committee Member
Joshua Whiting
Third Committee Member
Philip Miller
Fourth Committee Member
Lok-Kun Tsui
Recommended Citation
Caravello, Lisa. "Formation and Interrogation of a Modeling Excel Database for Sorbent Preconcentrate with GC/MS." (2022). https://digitalrepository.unm.edu/cbe_etds/130