Abstract
Infectious diseases are subcategorised into bloodborne and vector-borne diseases, and the early detection of these disorders is challenging. Many of these diseases require a rapid and robust testing method to identify the associated pathogens. However, the traditional detection techniques are time consuming, expensive and require experienced personnel to perform the diagnostic in dedicated clinical laboratories. Thus, Point-of-Care (POC) based testing approaches have become advantageous in the context of medical diagnosis. These techniques are simple and tailored to provide an expeditious outcome within a few minutes with less complexity compared to the conventional methods.In this thesis, various vibrational spectroscopic approaches including Fourier-transform infrared spectroscopy (FTIR), Near Infrared (NIR), and Raman have been employed to study and diagnose of critical medical conditions such as leishmaniasis, malaria, and sepsis. Marker bands associated with different molecules that are diagnostic of the specific diseases were identified. Furthermore, using advanced multivariate data analysis, different models were built to test the predictive capability and understand the marker bands associated with the specific pathology.
Date of Award | 27 Mar 2024 |
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Original language | English |
Awarding Institution |
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Supervisor | Paul De Bank (Supervisor), Karen Edler (Supervisor) & Bayden R. Wood (Supervisor) |
Keywords
- vibrational spectroscopy
- chemometrics
- leishmaniasis
- sepsis
- bacteria
- disease diagnosis
- infectious disease