Thesis (PhD (Chemistry and Polymer Science))--University of Stellenbosch, 2008. / The main goal of this study was the development of new technologies based on modern
analytical techniques for analysis of volatiles in wines. Due to the exponential growth of
the wine industry and consumer demands for an enjoyable, safe-to-consume, and high
quality product, the need for arose for methodologies aiding the understanding of wine
better arose. Chemical analysis is a valuable way of studying the composition of wine in
depth. Very sophisticated instrumentation is available nowadays but almost always the
sample needs to be cleaned up or concentrated before such analysis. This study
investigates the use of stir bar sorptive extraction (SBSE) as such a technique. It is shown
that SBSE combined with gas chromatography-mass spectrometry (GC-MS) is extremely
suited for a wide number of analyses and during the course of the study the technique was
applied for troublesome analytical challenges in various beverages and foodstuffs. The
study focuses on the development of a screening technique for volatiles in wine using
SBSE and the application of the data to various chemometrical techniques for
classification purposes. A second part of the study shows the applicability of SBSE for
extraction of pesticides, contaminants and preservatives from wine, water, lemon
flavoured beverages and yoghurt. The method is also elaborated upon by development of
faster analysis methods for wine and beer and the investigation of using SBSE for
headspace sampling of wine. In all the applications, SBSE technology was shown to be
sensitive, repeatable, robust and very simple to use.
| Identifer | oai:union.ndltd.org:netd.ac.za/oai:union.ndltd.org:sun/oai:scholar.sun.ac.za:10019.1/1316 |
| Date | 03 1900 |
| Creators | Tredoux, A. G. J. |
| Contributors | Sandra, P. J. F., Crouch, A. M., University of Stellenbosch. Faculty of Science. Dept. of Chemistry and Polymer Science. |
| Publisher | Stellenbosch : University of Stellenbosch |
| Source Sets | South African National ETD Portal |
| Language | English |
| Detected Language | English |
| Type | Thesis |
| Format | 1902805 bytes, application/pdf |
| Rights | University of Stellenbosch |
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