Inborn errors of metabolism (IEM) cause significant morbidity and mortality when left untreated. Urine organic acid (UOA) analysis is often a first-line investigation when an IEM is suspected. UOAs are usually qualitatively analyzed via the current gold standard, GC-EI-MS (Gas Chromatography-Electron Impact-Mass Spectroscopy). The Agilent 7890 GC in tandem with the Waters’ Xevo TQ-S MS contains an easily interchangeable LC-ESI (liquid chromatography-electrospray Ionization) and GC-APCI (Atmospheric Pressure Chemical Ionization) instrument set-up, while maintaining accuracy and sensitivity in both LC and GC applications. Utilizing this novel GC-APCI instrument, this project aims to develop and validate a new UOA method for clinical use. Furthermore, utilizing the machine’s MRM mode would increase sensitivities thus allowing for hopefully quantitative analysis.
Chemical standards and patient urine samples were extracted via a liquid-liquid ether extraction and derivatized with BSTFA for proper GC elution. Results were compared on the current gold standard GC-EI-MS instrument and the new GC-APCI-MS instrument. Initial instrument suitability and method setup was then optimized. Source moisture levels were modified to explore the wet proton transfer and the dry charge transfer mechanism using [M+H]+ and [M+*]+ ion peak ratios, respectively. Elution times and APCI ion mass spectra profiles of UOA metabolites of interest were identified from full scan mode in preparation for MRM mode analysis. Exploration into the wet and dry mode settings of the APCI source determined that the former induced via methanol had greater peak areas and signal-to-noise ratios. Suitable MRMs were determined for clinically relevant organic acids from which a quantitative assay was developed for methyl malonic acid and several other compounds.
The Waters’ Xevo TQ-S micro with Agilent 7890 GC demonstrated promising GC-APCI-MS detection of urine organic acids. With clear avenues for future work, the APCI technique hints at great benefits for biochemical genetic laboratories. / Thesis / Master of Science (MSc) / Inborn errors of metabolism (IEM) are a class of genetic diseases that when left untreated, cause reduced quality of life and sometimes death in newborns. Urine organic acid (UOA) analysis is used for detection using an instrument called GC-EI-MS (Gas Chromatography Electron Impact Mass Spectroscopy). This project explores how a new instrument, the Agilent 7890 GC and the Waters’ Xevo TQ-S MS, can detect these genetic diseases using a technique called APCI (Atmospheric Pressure Chemical Ionization) while still being accurate and sensitive.
UOAs are isolated from urine and run through the new machine. When compared to the currently used technique, results were promising but further optimization is needed. Using the new machine, various UOA compounds that were elevated and/or decreased in newborns with genetics diseases were identified and quantified. With clear avenues for future work, the APCI technique can greatly improve newborn diagnosis of IEMs.
| Identifer | oai:union.ndltd.org:mcmaster.ca/oai:macsphere.mcmaster.ca:11375/28058 |
| Date | 11 1900 |
| Creators | Ganepola, Devanjith |
| Contributors | Potter, Murray, Medical Sciences |
| Source Sets | McMaster University |
| Language | en_US |
| Detected Language | English |
| Type | Thesis |
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