Title page for ETD etd-02082006-151801

Document Type Master's Dissertation
Author Welthagen, Werner
URN etd-02082006-151801
Document Title The optimisation of GC x GC and the analysis of diesel petrochemical samples
Degree MSc (Chemistry)
Department Chemistry
Advisor Name Title
Prof E R Rohwer
  • no key words available
Date 2005-10-08
Availability unrestricted
Comprehensive two-dimensional gas chromatography (GC x GC) is a new technique with a promising future in analytical chemistry. Researchers have already shown the advantages of this technique to unravel complex samples consisting of hundreds of compounds. The predominant

advantage of GC x GC above conventional one-dimensional gas chromatography is the greatly

enhanced peak capacity. To fully utilise this enhanced peak capacity the instrumentation needs to

be run at optimum conditions. The optimisation of one-dimensional gas chromatography (GC) is

done on a routine basis in analytical laboratories and handbooks are available to cover these

optimisation strategies. This study was aimed at providing similar guidelines for GC x GC. Since

the underlying theory of GC and GC x GC are essentially the same, conventional GC optimisation

strategies were the point of departure for this research. The different operational parameters in GC

x GC were identified and emphasis was then placed on a method to simultaneously optimise the flow

rate in both columns, taking into consideration the common practice of series-coupling of columns

of different internal diameters. The influence of second-dimension stationary phase, temperature

program and modulator operation on the distribution and shape of chromatographic peaks in the two

dimensions is also investigated. The results obtained from this study provide a useful new approach

to optimise a GC x GC system where two gas chromatographic columns of various dimensions are

connected in series. The use of diesel samples in this optimisation process presented some useful

applications for future research in the petrochemical industry. Examples of potential applications

such as “fingerprinting techniques” and compositional analysis are also discussed.

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  00front.pdf 135.18 Kb 00:00:37 00:00:19 00:00:16 00:00:08 < 00:00:01
  01chapters1-4.pdf 801.82 Kb 00:03:42 00:01:54 00:01:40 00:00:50 00:00:04
  02chapter5.pdf 2.12 Mb 00:09:47 00:05:02 00:04:24 00:02:12 00:00:11
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  05back.pdf 204.30 Kb 00:00:56 00:00:29 00:00:25 00:00:12 00:00:01

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