Membrane filtration of protein solutions is influenced by a wide range of processing and physicochemical conditions. Monitoring and optimizing membrane filtration may have advantages for achieving, in a cost effective manner, improved bioproduct purification and membrane performance which is relevant to pharmaceutical and biochemical applications. The motivation of this work was to examine the feasibility of applying two-dimensional fluorescence spectroscopy in conjunction with chemometric techniques for monitoring and possibly optimizing the performance of membrane processes. Preliminary work focused on assessing the use of multivariate calibration tools in conjunction with the sensitivity of intrinsic protein fluorescence towards changes in environmental conditions was to predict protein concentration and aggregation behavior. A model protein, β-lactoglobulin (β-LG), was used as a first simple case scenario. Results showed very good agreement between the fluorescence based predictions and measurements obtained by HPLC and gravimetric analysis regardless of the conditions. PLS analysis of excitation-emission matrices revealed unique spectral fingerprints that are most likely associated with the heat-induced denaturation and aggregation. Standard Normal Variate, a signal preprocessing and filtering tool, was shown to have a significant effect on enhancing the predictive accuracy and robustness of the PLS model as it reduced the effect of instrumental noise. The methodology was then extended to a two-component protein system consisting of α- lactlalbumin (α-LA) and β-lactoglobulin (β-LG). The process of thermal induced aggregation of β-LG and α-LA protein in mixtures, which involves the disappearance of native-like proteins, was studied under various treatment conditions including different temperatures, pH, total initial protein concentration and proportions of α-LA and β-LG. A Partial Least Squares (PLS) regression algorithm was used to correlate the concentrations of α-LA and β-LG to the fluorescence spectra obtained for mixtures.The results illustrated that multivariate models could effectively deconvolute multiwavelength fluorescence spectra collected for the protein mixtures and thereby provide a fairly accurate quantification of respective native-like α-LA and β-LG despite the significant overlap between their emission profiles. It was also demonstrated that a PLS model could be used as a black-box prediction tool for estimating protein aggregation when combined with simple mass balances. Ultrafiltration experiments of the whey protein isolate solutions were carried out in dead-end filtration mode and fluorescence measurements of permeate and retentate solutions were acquired in synchronous scanning mode using a fiber optic probe. By implementing a dilution strategy for the retentate side, the fluorescence based PLS model encompassed a low protein concentration range where fluorescence was not expected to be significantly influenced by concentration-dependent interferences. It was also demonstrated that synchronous spectra can provide good predictions and consequently the use of the full spectrum may not be necessary for monitoring with corresponding savings in acquisition time. Membrane performance variables that are difficult to measure, such as individual protein transmission and membrane selectivity could be estimated directly from fluorescence-based predictions of protein concentrations in the retentate and permeate streams. Multiwavelength light scattering spectra, acquired using the fiber optic probe, were shown to be a useful indicator for protein self-association behavior, which is known to influence the membrane filtration. High fouling potential were observed for protein solutions that exhibited significant Rayleigh scattering. A predictive PLS model for estimating protein aggregation from Rayleigh scattering measurements was developed and it was tested by using molecular weight experimental values obtained from the literature. Although this comparison was only partial due to the limited amount of molecular weight data available, the findings verified the possibility of estimating the aggregate size from multiwavelength Rayleigh scattering spectra acquired using a conventional spectrofluorometer. Thus, the results implied that both intrinsic fluorescence and light scattering multiwavelength measurements could provide complementary information about the filtration process.

Membrane filtration of protein solutions is influenced by a wide range of processing and physicochemical conditions. Monitoring and optimizing membrane filtration may have advantages for achieving, in a cost effective manner, improved bioproduct purification and membrane performance which is relevant to pharmaceutical and biochemical applications. The motivation of this work was to examine the feasibility of applying two-dimensional fluorescence spectroscopy in conjunction with chemometric techniques for monitoring and possibly optimizing the performance of membrane processes. Preliminary work focused on assessing the use of multivariate calibration tools in conjunction with the sensitivity of intrinsic protein fluorescence towards changes in environmental conditions was to predict protein concentration and aggregation behavior. A model protein, β-lactoglobulin (β-LG), was used as a first simple case scenario. Results showed very good agreement between the fluorescence based predictions and measurements obtained by HPLC and gravimetric analysis regardless of the conditions. PLS analysis of excitation-emission matrices revealed unique spectral fingerprints that are most likely associated with the heat-induced denaturation and aggregation. Standard Normal Variate, a signal preprocessing and filtering tool, was shown to have a significant effect on enhancing the predictive accuracy and robustness of the PLS model as it reduced the effect of instrumental noise. The methodology was then extended to a two-component protein system consisting of α- lactlalbumin (α-LA) and β-lactoglobulin (β-LG). The process of thermal induced aggregation of β-LG and α-LA protein in mixtures, which involves the disappearance of native-like proteins, was studied under various treatment conditions including different temperatures, pH, total initial protein concentration and proportions of α-LA and β-LG. A Partial Least Squares (PLS) regression algorithm was used to correlate the concentrations of α-LA and β-LG to the fluorescence spectra obtained for mixtures.The results illustrated that multivariate models could effectively deconvolute multiwavelength fluorescence spectra collected for the protein mixtures and thereby provide a fairly accurate quantification of respective native-like α-LA and β-LG despite the significant overlap between their emission profiles. It was also demonstrated that a PLS model could be used as a black-box prediction tool for estimating protein aggregation when combined with simple mass balances. Ultrafiltration experiments of the whey protein isolate solutions were carried out in dead-end filtration mode and fluorescence measurements of permeate and retentate solutions were acquired in synchronous scanning mode using a fiber optic probe. By implementing a dilution strategy for the retentate side, the fluorescence based PLS model encompassed a low protein concentration range where fluorescence was not expected to be significantly influenced by concentration-dependent interferences. It was also demonstrated that synchronous spectra can provide good predictions and consequently the use of the full spectrum may not be necessary for monitoring with corresponding savings in acquisition time. Membrane performance variables that are difficult to measure, such as individual protein transmission and membrane selectivity could be estimated directly from fluorescence-based predictions of protein concentrations in the retentate and permeate streams. Multiwavelength light scattering spectra, acquired using the fiber optic probe, were shown to be a useful indicator for protein self-association behavior, which is known to influence the membrane filtration. High fouling potential were observed for protein solutions that exhibited significant Rayleigh scattering. A predictive PLS model for estimating protein aggregation from Rayleigh scattering measurements was developed and it was tested by using molecular weight experimental values obtained from the literature. Although this comparison was only partial due to the limited amount of molecular weight data available, the findings verified the possibility of estimating the aggregate size from multiwavelength Rayleigh scattering spectra acquired using a conventional spectrofluorometer. Thus, the results implied that both intrinsic fluorescence and light scattering multiwavelength measurements could provide complementary information about the filtration process.

We evaluate the changes in fluorescence from endogenous fluorophores such as amino acids, structural proteins and enzymatic co-factors to predict malignancy and risk of developing ovarian cancer. 249 ovarian biopsies of the surface epithelium were interrogated in vitro, over 270-550 nm excitation, and fluorescence was collected from 290-700nm. Spectroscopic data was analyzed using parallel factor analysis (PARAFAC) to determine excitation and emission spectra of the underlying fluorophores that contribute to the total detected fluorescence intensity. Using multivariate normal distribution fits and cross-validation techniques, sensitivity (SN) and specificity (SP) of 88 and 93 percent, respectively, were achieved when classifying malignant samples versus others, while 88 and 80 percent, respectively, were achieved when classifying normal post menopausal patients as being either at low- or high-risk of developing ovarian cancer based on their personal and family history of cancer. Also, the performance of classifying cancer increases when the normal group excludes benign neoplasm and endometriosis samples, while the performance of low- v. high-risk decreases when both pre- and post-menopausal samples are included. These results could potentially be useful in screening women at increased risk of developing ovarian cancer. This motivated our study to investigate similar changes in ovarian autofluorescence in vivo. 40 patients were recruited and a total of 189 samples were imaged using a fiber optic bundle and biopsied. Using PARAFAC, the factors computed from in vitro data analysis and in vitro data as a training set; pathology from each in vivo site biopsied was compared to calibrated tissue-fluorescence. It resulted in a SN and SP of 100 and 94 percent, respectively, for classifying normal versus malignant. In the case of risk assessment, cross validated in vivo data gave a SN and SP of 68 and 93%. Results obtained were consistent with those obtained in vitro, except for the presence of blood absorption peaks which affected risk assessment. Assessing endogenous fluorescence has diagnostic potential and if adapted to trans-vaginal access, would make the screening procedure less costly and less invasive, and would be most useful and economical in women at increased risk of developing ovarian cancer and might determine the ideal time to undergo an oophorectomy.

This dissertation presents experimental and instrumentation developments that take full advantage of the multidimensional nature of line narrowing spectroscopy at liquid nitrogen (77 K) and liquid helium (4.2 K) temperatures. The inconvenience of sample freezing procedures is eliminated with the aid of cryogenic fiber optic probes. Rapid collection of multidimensional data formats such as wavelength time matrices, excitation emission matrices, time-resolved excitation emission matrices and time resolved excitation emission cubes is made possible with the combination of a pulsed tunable dye laser, a spectrograph and an intensifier-charged coupled device. These data formats provide unique opportunities for processing vibrational luminescence data with second order multivariate calibration algorithms. The use of cryogenic fiber optic probes is extended to commercial instrumentation. An attractive feature of spectrofluorimeters with excitation and emission monochromators is the possibility to record synchronous spectra. The advantages of this approach, which include narrowing of spectral bandwidth and simplification of emission spectra, were demonstrated with the direct analysis of highly toxic dibenzopyrene isomers. The same is true for the collection of steady-state fluorescence excitation-emission matrices. These approaches provide a general solution to unpredictable spectral interference, a ubiquitous problem for the analysis of organic pollutants in environmental samples of unknown composition. Since commercial spectrofluorimeters are readily available in most academic institutions, industrial settings and research institutes, the developments presented here should facilitate the widespread application of line-narrowing spectroscopic techniques to the direct determination, no chromatographic separation, of highly toxic compounds in complex environmental matrixes of unknown composition.