A unique characteristic of NMR is that, unlike other spectroscopic techniques, it separates the excitation of signals from their detection. By manipulating the type of signal excitation used, the chemical information content of a spectrum can be controlled. This versatility has made NMR a powerful and flexible weapon in the analytical arsenal of chemists, not only for the determination of structural, chemical, dynamic, and physical properties of molecules, but also for the analysis of mixtures, since NMR has the ability to study these intact without the need for physical separation. Chapter 1 contains an introduction to the theoretical NMR background necessary for this thesis. Chapter 2, 3 and 6 detail the development of new methods that suppress 13C satellites not only in conventional 1D 1H and 19F spectra, but also in 1H DOSY spectra, and can facilitate the analysis of minor components in high dynamic range mixtures (i.e. those with a wide range of concentrations). Chapter 4 introduces a new experiment which suppresses low-level artefacts in pure shift NMR, and gives clean pure shift spectra that can be used for the detection of minor components in the presence of strong signals. Chapter 5 and 7 illustrate how 19F NMR can be exploited for the acquisition of simplified proton spectra associated with a given 19F chemical shift, or for the virtual separation of mixture components using broadband 19F DOSY. Chapter 8 summarises the conclusions extracted from the research introduced in the main body of this thesis, and gives suggestions for future developments. Chapters 2, 3, 4, 5, and 7 contain published research articles and their Supporting Information and are presented without modification. Chapter 6 is presented as a manuscript intended for publication.
| Identifer | oai:union.ndltd.org:bl.uk/oai:ethos.bl.uk:756898 |
| Date | January 2018 |
| Creators | Moutzouri, Pinelopi |
| Contributors | Morris, Gareth ; Nilsson, Mathias |
| Publisher | University of Manchester |
| Source Sets | Ethos UK |
| Detected Language | English |
| Type | Electronic Thesis or Dissertation |
| Source | https://www.research.manchester.ac.uk/portal/en/theses/new-and-improved-methods-for-mixture-analysis-by-nmr(d6bad99a-36dd-440b-a7b1-f8243a8ab4a3).html |
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