Use this URL to cite or link to this record in EThOS: https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.665480
Title: Spectroscopic studies of pharmaceutical and biological materials
Author: Stapleton, Christopher S.
Awarding Body: University of Nottingham
Current Institution: University of Nottingham
Date of Award: 2013
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Abstract:
Chapter 1: Introduction An introduction into the studies of the pharmaceutical materials and FTiR of biological materials are presented. Chapter 2: Quantification of amorphous lactose using HID exchange coupled with Raman, FTIR and ss-NMR spectroscopies Three analytical techniques coupled with HID exchange are used for quantification of the amorphous content in blends of amorphous and crystalline lactose. Firstly, Raman spectroscopy was used to quantify mixtures pre- and post-deuteration. Prior to deuteration, a known method was utilised using peak height ratios and this showed linearity across the entire percentage amorphous content range with a detection limit of 2.2 %. Post-deuteration, a similar linear trend was observed with the limit of detection found to be 1.5 %. The second technique presented is FTIR where a similar approach was adopted. Before deuteration, bands indicative of either the amorphous or crystalline phase were selected and then used to create a calibration with a limit of detection of 1.47 %. Following deuteration of the blends, the v(O-D) band was integrated and used to construct a further calibration with detection limit equal to 0.7%. Finally 2H solid-state NMR was used and following initial calibration experiments, blends of amorphous and crystalline lactose were collected and the calibration plot had limit of detection of 0.4 %. To extend the data analysis, Principal Component Analysis, a multivariate technique, was employed to the post deuteration FTIR dataset. This gave a new calibration with the detection limit 0.44 %. Chapter 3: Quantification of amorphous cimetidine using HID exchange coupled with Raman, FTIR and ss-NMR spectroscopies A brief recap of previous work complete in the group is presented here, using FT-Raman for the quantification of amorphous cimetidine. The FT-Raman work is then repeated using a dispersive Raman system with a different excitation wavelength. The 785 nm system gave improved limits of detection for both undeuterated cimetidine and deuterated cimetidine compared with the FTRaman work, with the limits of detection 1.95 % and 4.1 % respectively. Cimetidine was further investigated using FTIR. It was found that quantification of amorphous cimetidine could not be performed as incomplete deuteration was observed. A solution casting method was developed, which did allow for the complete deuteration of amorphous cimetidine, however, this was not suitable for quantification purposes. 2H solid-state NMR experiments were performed on blends of deuterated amorphous and crystalline cimetidine and following data processing, a calibration plot was constructed. The limit of detection was 1.6 %. Principal component analysis was applied to the deuterated Raman spectra, this gave an improvement in the limit of detection equal to 1.4 %, bring the detection limit down to 2.7 % amorphous content. Chapter 4: Investigation using FTIR for the prognosis of Breast Cancer using FTIR instrumentation with 25 JIm spatial resolution FTIR images were collected from 8 breast cancer tissue sections (2 Grade 1, 3 Grade 2 and 3 Grade3). Each of the FTIR datasets was subjected to Principal Component Analysis for explore the patterns in the data. Two methods have been presented to construct false colour images, PCA- Fuzzy c-means clustering and Multivariate Curve Resolution and the ability of each multivariate technique to discriminate different tissue types is discussed. Spectra were extracted from regions of tumour and normal cells and then analysed to investigate the possibility of differentiating between the two cell types. It was found that it was possible to discriminate between the two. Finally spectra were extracted from the tumour regions of the different tissues in order to study whether grading of the breast cancer was possible using FTIR imaging. However, no clear relationship was observed between the different grades . . Chapter 5: Investigation using FTIR for the prognosis of Breast Cancer with 5.5 ~m pixel size A similar approach to Chapter 5 was adopted but imaging the tissue sections with a focal plane array detector with pixel size 5.5 ~m. The increased spatial resolution allowed for false colour images with increased similarity to the H&E to be constructed . Finally FTIR imaging was used to successfully grade the breast cancer tissues in a non-subjective way, using PCA. . Chapter 6: Experimental The methods used to perform the experiments presented in this Thesis are outlined, as well as an introduction to the chemometric techniques that have been utilised.
Supervisor: Not available Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID: uk.bl.ethos.665480  DOI: Not available
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