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Virginia Tech

Density Modulated Semi-Packed Micro Gas Chromatography Columns

Abstract

dc:description.abstract

With the continued evolution of MEMS-based gas chromatography, the drive to develop new standalone systems with lower power consumptions and higher portability has increased. However, with improvements come tradeoffs, and trying to reduce the pressure drop requirements of previously reported semi-packed columns causes a significant sacrifice in separation efficiency. This thesis covers the techniques for evaluating the separation column in a gas chromatography system as well as the important parameters that have the most effect on a column’s efficiency. Ionic liquids are introduced as a stable and versatile stationary phase for micro separation columns. It then describes a MEMS-based separation column design utilizing density modulation of embedded micro-pillars which attempts to optimize the balance between separation efficiency and pressure drop.

Degree

thesis:*
Name thesis:degree_name
Master of Science
Level thesis:degree_level
masters
Discipline thesis:degree_discipline
Electrical Engineering
Department dc:contributor.department
Electrical and Computer Engineering
Grantor dc:publisher
Virginia Tech
Year dc:date.issued
2018

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Chan, Ryan
Chairs dc:contributor.committeechair
  • Agah, Masoud
  • Hudait, Mantu K.
Committee member dc:contributor.committeemember
  • Jia, Xiaoting

Subjects

dc:subject × 5

Rights

dc:rights
Statement dc:rights
  • Creative Commons Attribution-NonCommercial-NoDerivs 3.0 United States
Language dc:language.iso
en_US

Identifiers

dc:identifier.*
Handle dc:identifier.uri
http://hdl.handle.net/10919/83448
OAI identifier oai:identifier
oai:vtechworks.lib.vt.edu:10919/83448

Chain of custody

source
Harvested from
Virginia Tech
Base URL
vtechworks.lib.vt.edu/oai/request
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
citation

Chan, Ryan. Density Modulated Semi-Packed Micro Gas Chromatography Columns. masters thesis, Virginia Tech, 2018. http://hdl.handle.net/10919/83448