In this thesis, a miniaturised field asymmetric waveform ion mobility spectrometry (FAIMS) device is combined with mass spectrometry (MS), and liquid chromatography, for the development and application of bioanalytical methodologies. FAIMS is a highly orthogonal to MS and LC and has the potential to enhance both targeted and non-targeted bioanalytical applications. Chapter two demonstrates the capability of the FAIMS combined with mass spectrometry to reduce the complexity of the mass spectrum by separating species of different charge states and overlapping mass-to-charge ratios that are challenging to separate by MS. FAIMS selected transmission shows improvement in signal-to-noise ratios for low intensity species and enables visualisation of species undetectable without FAIMS. Chapter three describes the development of an LC-FAIMS-MS method for the rapid analysis of saliva for the identification of potential biomarkers as a result of oxidative stress. The combination of FAIMS showed a reduction in saliva matrix interferences resulting in improved discrimination and peak integration of two salivary oxypurine compounds in a rapid LC-FAIMS-MS method. Chapter four investigates the FAIMS separation of seven steroid metabolites with a range of cationic adducts, in order to develop a rapid screening LC-FAIMS-MS method for the determination of isobaric steroid metabolites in urine. LC-FAIMS-MS analysis of the steroid metabolites shows improved discrimination of co-eluting and isobaric steroid metabolites with improvements in signal-to-noise ratio with reductions in chemical noise, demonstrating the potential of combining FAIMS with LC-MS. Chapter five demonstrates the potential of FAIMS to increase peak capacity in non-targeted omics applications, by combining rapid compensation field scanning of the FAIMS with ultra-high performance LC-MS. The rapid scanning of the FAIMS allows acquisition of full scan FAIMS and MS nested data sets within the timescale of a UHPLC chromatographic peak, and is applied to the non-targeted profiling of human urine. Improvements in the number of features detected using LC-FAIMS-MS were as a result of reductions in chemical noise and separation of co-eluting isobaric species across the whole analytical space, demonstrating the potential of combining FAIMS with LC and MS.
| Identifer | oai:union.ndltd.org:bl.uk/oai:ethos.bl.uk:734160 |
| Date | January 2017 |
| Creators | Arthur, Kayleigh L. |
| Publisher | Loughborough University |
| Source Sets | Ethos UK |
| Detected Language | English |
| Type | Electronic Thesis or Dissertation |
| Source | https://dspace.lboro.ac.uk/2134/27724 |
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