title: Kinetic plots for programmed temperature gas chromatography.
abstract: The applicability of the kinetic plot theory to temperature-programmed gas chromatography (GC) has been confirmed experimentally by measuring the efficiency of a temperature gradient separation of a simple test mixture on 15, 30, 60 and 120m long (coupled) columns. It has been shown that the temperature-dependent data needed for the kinetic plot calculation can be obtained from isothermal experiments at the significant temperature, a temperature that characterizes the entire gradient run. Furthermore, optimal flow rates have been calculated for various combinations of column length, diameter, and operating temperature (or significant temperature). The tabulated outcome of these calculations provide good starting points for the optimization of any GC separation.
authors.affiliation: Vrije Universiteit Brussel, Department of Chemical Engineering, Pleinlaan 2, 1050 Brussels, Belgium.
authors.forename: Sander
authors.initials: S
authors.lastname: Jespers
authors.affiliation: Universiteit Gent, Separation Science Group, Krijgslaan 281, B-9000 Gent, Belgium.
authors.forename: Kevin
authors.initials: K
authors.lastname: Roeleveld
authors.affiliation: Universiteit Gent, Separation Science Group, Krijgslaan 281, B-9000 Gent, Belgium.
authors.forename: Frederic
authors.initials: F
authors.lastname: Lynen
authors.affiliation: Vrije Universiteit Brussel, Department of Chemical Engineering, Pleinlaan 2, 1050 Brussels, Belgium.
authors.forename: Ken
authors.initials: K
authors.lastname: Broeckhoven
authors.affiliation: Vrije Universiteit Brussel, Department of Chemical Engineering, Pleinlaan 2, 1050 Brussels, Belgium. Electronic address: gedesmet@vub.ac.be.
authors.forename: Gert
authors.initials: G
authors.lastname: Desmet
mesh_terms: D002849:Chromatography, Gas / Q000379:methods*; D007700:Kinetics; D015203:Reproducibility of Results; D013696:Temperature
keywords: Gas chromatography; Kinetic performance limit; Optimal flow; Optimization; Temperature gradient