CE-ESI-MS has become a powerful analytical tool capable of simultaneous
identification and quantification of many classes of biologically relevant molecules. For
studies in metabolomics, CE-ESI-MS offers a unique platform which will allow for the
systematic elucidation of unknown metabolites in complex matrices without the need for
complex sample preparation steps required with other techniques. In this thesis, a novel
theoretical prediction model which will allow the estimation of detector response in ESIMS
is outlined. This response model will allow researchers to quantitatively predict
relative ionization effiency of compounds based on proposed two-dimensional structures
without the need for a purified standard. Another feature of this model is that it can be
applied to complex biological samples without the need for off-line sample pretreatment.
Also in this thesis, a novel neonatal screening method will be presented which will aid
clinical chemists in determining the presence of inborn metabolic disorders. This
screening method which aims to compliment current protocols will allow health care
professionals to further assess dried blood spot samples by providing simultaneous
separation, identification, and quantification of relevant metabolites. This method also
offers an alternatives to other protocols in place which are necessary to measure acid
labile compounds which cannot be assessed by standard screening techniques. / Thesis / Master of Science (MSc)
| Identifer | oai:union.ndltd.org:mcmaster.ca/oai:macsphere.mcmaster.ca:11375/21623 |
| Date | 09 1900 |
| Creators | Chalcraft, Kenneth |
| Contributors | Britz-McKibbin, Philip, Chemistry |
| Source Sets | McMaster University |
| Language | English |
| Detected Language | English |
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