This research project sought to explore, compare and develop chemometric methods with the goal of resolving chromatographically overlapped peaks though the use of spectral information gained from the four-way data sets associated with comprehensive two-dimensional liquid chromatography with diode array detection (LC ´ LC-DAD). A chemometric method combining iterative key set factor analysis (IKSFA) and multivariate curve resolution-alternating least squares (MCR-ALS) was developed. In the section of urine data analyzed, over 50 peaks were found, with 18 visually observable and 32 additional compounds found only after application of the chemometric method. Upon successful chemometric resolution of chromatographically overlapped peaks, accurate and precise quantification was then necessary. Of the compared methods for quantification, the manual baseline method was determined to offer the best precisions. Of the 50 found peaks from the urine analysis, 34 were successfully quantified using the manual baseline method with percent relative standard deviations ranging from 0.09 to 16. The accuracy of quantification was then investigated by the analysis of wastewater treatment plant effluent (WWTPE) samples. The chemometrically determined concentration of the unknown phenytoin sample was found to not exhibit a significant difference from the result obtained by the LC-MS/MS reference method, and the precision of the IKSFA-ALS method was better than that of the precision of the LC-MS/MS analysis. Chromatographic factors (data complexity, large dynamic range, retention time shifting, chromatographic and spectral peak overlap and background removal, were all found to affect the quantification results. The last part of this work focused on rapid screening methods that were capable of locating peaks between samples that exhibited significant differences in concentration. The aim here was to reduce the amount of data required to be resolved and quantified to only those peaks that were of interest. This would then reduce the time required to analyze large, complex samples by eliminating the need to first quantify all peaks in a given sample for many different samples. Both the similarity index (SI) method and the Fisher ratio (FR) method were found to fulfill this requirement in a rapid means of screening fifteen wine samples.

In chemical analyses, it is crucial to distinguish between chemical species. This is often accomplished via chromatographic separations. These separations are often pushed to their limits in terms of the number of analytes that can be sufficiently resolved from one another, particularly when a quantitative analysis of these compounds is needed. Very often, complicated methods or new technology is required to provide adequate separation of samples arising from a variety of fields such as metabolomics, environmental science, food analysis, etc. An often overlooked means for improving analysis is the use of chemometric data analysis techniques. Particularly, the use of chemometric curve resolution techniques can mathematically resolve analyte signals that may be overlapped in the instrumental data. The use of chemometric techniques facilitates quantitation, pattern recognition, or any other desired analyses. Unfortunately, these methods have seen little use outside of traditionally chemometrics focused research groups. In this dissertation, we attempt to show the utility of one of these methods, multivariate curve resolution-alternating least squares (MCR-ALS), to liquid chromatography as well as its application to more advanced separation techniques. First, a general characterization of the performance of MCR-ALS for the analysis of liquid chromatography-diode array detection (LC-DAD) data is accomplished. It is shown that under a wide range of conditions (low chromatographic resolution, low signal-to-noise, and high similarity between analyte spectra), MCR-ALS is able to increase the number of quantitatively analyzable peaks. This increase is up to five-fold in many cases. Second, a novel methodology for MCR-ALS analysis of comprehensive two-dimensional liquid chromatography (LC x LC) is described. This method, called two dimensional assisted liquid chromatography (2DALC), aims to improve quantitation in LC x LC by combining the advantages of both one-dimensional and two dimensional chromatographic data. We show that 2DALC can provide superior quantitation to both LC x LC and one dimensional LC under certain conditions. Finally, we apply MCR-ALS to an LC x LC analysis of fourteen furanocoumarins in three apiaceous vegetables. The optimal implementation of MCR-ALS and subsequent integration was determined. For these data, simply performing MCR-ALS on the two dimensional chromatogram and manually integrating the results proved to be the superior method. These results demonstrate the usefulness of these curve resolution techniques as a compliment to advanced chromatographic techniques.

No description available.

An enantioselective heart-cut two-dimensional liquid chromatography-atmospheric pressure photoionization-tandem mass spectrometry method was developed for the analysis of 25 methylsulfonyl polychlorinated biphenyl metabolites in tissue extracts. Enantioseparation was achieved for 9 out of the 10 chiral analytes in less than 91 minutes, improving upon previous gas chromatography-based methods. Use of a pyrenyl-ethyl silica column in the first dimension enabled separation of all but two pairs of isobaric analytes. Limits of detection of 0.01 to 1.73 ng on-column were achieved. The precision and accuracy were within acceptable limits, but poor sensitivity was achieved for several meta-methylsulfonyl-substituted congeners. Despite this limitation, the method was successfully applied to the analysis of Greenland sledge dog (Canis familiaris) plasma and adipose tissue extracts. Concentration and enantiomer fraction data are presented. None of the target analytes were detected in Norwegian glaucous gull (Larus hyperboreus) plasma extracts.

La chromatographie en phase liquide bidimensionnelle est une technique à fort potentiel, offrant un grand pouvoir de séparation. Après avoir démontré son intérêt dans l’industrie pharmaceutique et présenté les enjeux liés à l’analyse quantitative, une attention particulière est portée sur le développement de méthodes. Dans l’idée de développer une stratégie d’analyse générique, la première étape est de sélectionner un set de trois systèmes 2D par le biais d’une approche développée au laboratoire. La deuxième étape est d’évaluer le potentiel de ces systèmes pour l’analyse quantitative. Ces deux étapes ont conduit à la proposition d’une stratégie d’analyse applicable à l’analyse pharmaceutique dans un contexte industriel. Enfin le potentiel du couplage RPLCxSFC est envisagé dans deux cas de figure différents. Premièrement, dans le but de comparer ce couplage aux séparations RPLCxRPLC développées dans le cadre d’une stratégie analytique générique, en termes de pouvoir de séparation. Deuxièmement, dans le cadre de l’analyse de composés chiraux, en développant un couplage sRPLCxSFC permettant une analyse achirale/chirale simultanée. Les avantages d’une telle approche ont été mis en avant en la comparant aux approches conventionnelles / Two-dimensional liquid chromatography (2D-LC) is a powerful technique considering its high separation power. After showing the advantage of 2D-LC in the pharmaceutical area and presenting the challenges related to quantitative analysis, special attention was paid to method development. With the aim of developing a generic analytical strategy for pharmaceuticals, the first step of our approach consisted in selecting a set of three 2D-systems with the help of a methodology previously developed. In a second step, the potential of these 2D-systems was evaluated for the purpose of quantitative analysis. An analytical strategy able to be applied to pharmaceutical analysis in an industrial context was proposed. Finally, the potential of RPLCxSFC was investigated in two different cases. Firstly, for comparing this on-line two dimensional technique to on-line RPLCxRPLC with respect of the separation power. Secondly, for chiral compounds by developing a selective RPLCxSFC method for simultaneous achiral-chiral analysis. The advantage of such method was highlighted by comparing to conventional approaches

Pour accéder à la caractérisation des matrices complexes pétrolières, la chromatographie en phase liquide bidimensionnelle couplée à une détection spécifique comme la spectrométrie de masse à couplage inductif (LCxLC-ICP-MS/MS) s’avère être une solution pertinente. Un tel couplage permet d’envisager la spéciation des contaminants soufrés ou encore métallés (vanadium et nickel). Ce couplage reste, à notre connaissance, inédit aujourd’hui et sa mise en place a nécessité en premier lieu d’évaluer différents systèmes d’introduction de l’échantillon en amont de la détection. La comparaison de ces systèmes, au regard de la dispersion qu’ils génèrent, a été effectué afin de conserver la qualité de séparation obtenue en sortie du système LCxLC. La seconde partie du développement instrumental a concerné l’optimisation de la partie LC×LC. Le choix des différents mécanismes de rétention dans les deux dimensions étant primordial au vu de la complexité des échantillons (polarité, solubilité, poids moléculaire…). De plus, l’introduction de matrices organiques dans les sources plasma reste un réel défi qu’il a fallu évaluer, celles-ci pouvant être la cause de nombreuses contraintes analytiques. Enfin, une fois la méthodologie off-line SECxRPLC-ICP-MS/MS développée, elle a été appliquée à différents échantillons montrant qu’elle peut être considérée comme une solution intéressante pour expliquer le comportement de certaines matrices au sein des unités de raffinage, par l’intermédiaire de la comparaison de cartographies 2D / Two-dimensional liquid chromatography coupled with a specific detection such as inductively coupled plasma mass spectrometry (LCxLC-ICP-MS/MS) proves to be a relevant technique for the characterization of petroleum complex matrices. Such coupling makes it possible to consider the speciation of sulfur or metal contaminants (vanadium and nickel). Firstly, the evaluation and the comparison of several sample introduction systems was performed, with regard to the dispersion induced in the system, in order to keep a high efficiency from the LCxLC system. The second part of the instrumental development concern the optimization of both dimensions. The choice of the different retention mechanisms is essential given the complexity of the samples (polarity, solubility, molecular weight...). Additionally, the introduction of organic matrices in the plasma remains a real challenge which could be the cause of many instrumental and analytical issue. Finally, once the off-line SECxRPLC-ICP-MS/MS method was developed, it was applied to different samples showing how it can be considered as an interesting tool to explain the behavior of matrices within the refining units, through the comparison of 2D-contour plots

The goal of the first project was to evaluate strategies for determining the in vitro intrinsic clearance (CLint) of dextrorphan (DR) as metabolized by the UGT2B7 enzyme to obtain dextrorphan glucuronide (DR-G). A direct injection liquid chromatography-mass spectrometry (LC-MS) method was used to monitor products using the pseudo-first-order (PFO) model. Standard enzymatic incubations were also quantified using LC-MS. These data were fit utilizing both PFO and Michaelis-Menten (MM) models to determine estimates of kinetic parameters. The CLint was determined to be 0.28 (± 0.08) µL/min/mg protein for a baculovirus insect cell-expressed UGT2B7 enzyme. This is the first confirmation that dextrorphan is specifically metabolized by UGT2B7 and the first report of these kinetic parameters. Simulated chromatographic data were used to determine the precision and accuracy in the estimation of peak volumes in comprehensive two-dimensional liquid chromatography (2D-LC). Volumes were determined both by summing the areas in the second dimension chromatograms via the moments method and by fitting the second dimension areas to a Gaussian peak. When only two second dimension signals are substantially above baseline, the accuracy and precision are poor because the solution to the Gaussian fitting algorithm is indeterminate. The fit of a Gaussian peak to the areas of the second dimension peaks is better at predicting the peak volume when there are at least three second dimension injections above the limit of detection. Based on simulations where the sampling interval and sampling phase were varied, we conclude for well-resolved peaks that the optimum precision in peak volumes in 2D separations will be obtained when the sampling ratio is approximately two. This provides an RSD of approximately 2 % for the signal-to-noise (S/N) used in this work. The precision of peak volume estimation for experimental data was also assessed, and RSD values were in the 4-5 % range. We conclude that the poorer precision found in the 2D-LC experimental data as compared to 1D-LC is due to a combination of factors, including variations in the first dimension peak shape related to undersampling and loss in S/N due to the injection of multiple smaller peaks onto the second dimension column.

Le caramel liquide, obtenu par le traitement thermique des sucres, est couramment utilisé pour modifier le goût ou la couleur des produits agroalimentaires.Parmi les promoteurs de caramélisation autorisés, l’ammoniaque (pour les caramels colorants de classe III) et les sels d’ammonium (pour ceux de classe IV) sont source de composés néoformés indésirables (CNI) comme le 2-acétyl-4-(1,2,3,4-tétrahydroxybutyl)imidazole (THI), immunosuppresseur, et le 4-méthylimidazole (4MeI), agent convulsif. Ces molécules ont des teneurs limitées par la réglementation Européenne à 10 et 250 ppm respectivement. Pour améliorer la connaissance de la chimie du caramel et la qualité des caramels colorants en contrôlant la formation des CNI, il est nécessaire de développer des méthodes analytiques fiables, rapides et faciles à mettre en œuvre. Ce travail de thèse présente le développement de nouvelles méthodes basées sur la chromatographie en phase liquide à deux-dimensions (LC-LC). Ces méthodes très sélectives permettent de minimiser le temps d’analyse puisque la préparation de l’échantillon se réduit à une simple dilution dans l’eau et les deux séparations chromatographiques en cascade sont réalisées sur un système totalement automatisé. La validation des méthodes par les profils d’exactitude a permis d’assurer que 90 % des résultats sont à moins de 20 % de la valeur vraie dans le domaine de concentration 10 à 50 ppm pour le THI, 20 à 500 ppm pour le 4MeI, 200 à 2500 ppm pour le fructose, saccharose, lactose, maltose et maltotriose et 500 à 2500 ppm pour le glucose.Ces méthodes sont enfin appliquées au suivi de la réaction de caramélisation et au contrôle qualité des produits finis. / Caramel liquid, obtained by heat treatment of sugars, is commonly used to alter the taste or colour of food products.Among promoters of caramelization allowed, ammonia (for caramel colours of class III) and ammonium salts (for those of class IV) are a source of neoformed contaminants (NFC) such as 2-acetyl-4-(1,2,3,4-tetrahydroxybutyl)imidazole (THI), immunosuppressive agent, and 4-methylimidazole (4MeI), convulsive agent. These molecules have contents limited by the European regulations to 10 and 250 ppm, respectively.To improve knowledge of the chemistry of caramel and quality of caramel colours by controlling the formation of NFC, it is necessary to develop analytical methods that are both reliable, fast and easy to implement. This thesis presents the development and validation of new methods based on two-dimensional liquid chromatography (LC-LC). These very selective methods can minimize analysis time since sample preparation is reduced to a simple dilution with water and the two consecutive chromatographic separations are performed on a fully automated system. The method validation by the accuracy profiles allowed to show that 90 % of obtained results correspond to the agreement value more or less 20 %, in the field of concentration 10 to 50 ppm for THI, 20 to 500 ppm for 4MeI, 200 to 2500 ppm for fructose, sucrose, lactose, maltose and maltotriose and 500 to 2500 ppm for glucose.These methods are finally applied to monitor the reaction of caramelization and to control the quality of finished products.