The inductively coupled plasma mass spectrometer (ICP-MS) is the instrument of choice for trace and ultra-trace elemental analysis. However, the ICP-MS suffers from matrix effects. Matrix effects occur when instrument response varies as the composition of the sample matrix is changed. Matrix effects, or non-spectroscopic interferences, limit the accuracy of routine analysis. Identification of the sources of matrix effects provide a basis for reducing or eliminating them. As inaccuracies in the ICP-MS are more severe than those in the ICP atomic emission spectrometer, the problem may be due, at least in part, to the vacuum interface used to couple the plasma source and mass spectrometer. The research herein is a study of matrix effect sources in the first stage of the vacuum interface. This study utilized laser-induced fluorescence of atomic species to identify factors affecting analyte transport through the sampling orifice of the vacuum interface. Several non-idealities in the performance of the interface were found. (1) Operating conditions and sample compositions can negatively affect the efficiency with which ions are extracted through the vacuum interface coupling the plasma source to the mass spectrometer. (2) The sampling cone itself was found to suppress and narrow ion distributions in the plasma. (3) Changes in the degree of ionization were identified in the first vacuum stage. The evidence of recombination and state-changing collisions was observed in the first vacuum stage at lower power settings. Matrix effects occur in the first vacuum stage, the first step of the ion extraction process. This work shows that changes in ion transport through the first vacuum stage of the vacuum interface of an ICP-MS affect the overall performance of the instrument.

Nos últimos 20 anos, a espectroscopia de emissão ótica com plasma induzido a laser (LIBS) tem se tornado uma das mais promissoras ferramentas em química analítica, cujas aplicações são destinadas às análises multi-elementares em amostras nos estados sólido, líquido e gasoso. Suas aplicações são as mais diversas, pois sua instrumentação é relativamente simples e pode ser portátil. Em especial, a LIBS apresenta grande potencial de uso na agricultura, com diversas publicações que exploram, principalmente, a concentração de carbono em solos. Entretanto, a construção de modelos gerais de calibração é uma das maiores dificuldades da técnica, pois ela está suscetível aos efeitos de matriz que adicionam comportamentos não-lineares às intensidades das emissões. Com intuito de compreender quais são as principais causas dessa dependência, este trabalho avaliou relações entre propriedades físicas do plasma LIBS e as inclinações das curvas de calibração para cinco emissões de carbono em amostras sintéticas de diferentes potenciais de ionização, sendo elas KCl e H3BO3 com 1% de CuSO4 e concentrações entre 0 e 10 % de carbono. Constatou-se que temperatura e densidade de elétrons dependem inversamente da concentração de carbono nas amostras, o que provavelmente está associado às taxas de ablação de material da amostra e recombinação no interior do plasma. Ademais, esses parâmetros em plasmas originados das amostras de KCl + CuSO4 são maiores do que para a matriz de H3BO3 + CuSO4, além de que apenas plasmas originados da primeira matriz satisfizeram o critério de McWhirter para C I, Cu I e Cu II em todas as concentrações de carbono, indicando que eles devem apresentar condições de equilíbrio termodiâmico local. O mesmo não foi obtido para o caso da matriz de H3BO3 + CuSO4, o que pode explicar suas elevadas incertezas nos valores da temperatura e densidade de elétrons. Verificou-se ainda que as inclinações das curvas de calibração para o carbono foram maiores para o caso da matriz com elementos majoritários de menor potencial de ionização e que isso está diretamente relacionado às propriedades intrínsecas dos plasmas originados, o que corrobora a hipótese deste trabalho. Além disso, cálculos de correlação entre a área do pico de carbono em 247,89 nm e cada ponto dos espectros LIBS mostraram que a emissão de Cu II em 224,72 nm linearizou as curvas de calibração, minimizando os efeitos de matriz. Por fim, este trabalho contribuiu tanto com avanços no conhecimento até então existente a respeito dos efeitos de matriz quanto com um eficiente conjunto de técnicas analíticas para espectros, cujo potencial de aplicação é enorme. / In the last 20 years, laser-induced breakdown spectroscopy (LIBS) has been one of the main tools in analytical chemistry, whose applications are destinated to multi-elementar analysis in solid, liquid or gaseous samples. Its use is diverse, since its instrumentation is relatively simple and can be portable. In particular, LIBS has a great potential for use in agriculture, with many publications that explore mainly the carbon concentration in soils. However, the construction of general calibration models is one of the greatest difficulties of the technique, since it is susceptible to matrix effects that add non-linear behaviors to the emission intensities. In order to understand the main causes of this dependence, this study evaluated the relationships between physical properties of the LIBS plasma and the slope of the calibration curves for carbon emissions in synthetic samples with different ionization potentials. Those samples were made of KCl and H3BO3 with 1% of CuSO4 and carbon concentrations ranging from 0 to 10%. It was found that the plasma temperature and electron density are inversely proportional to the carbon concentration in the samples, which is probably associated with rates of sample ablation and recombination within the plasma. In addition, these parameters in plasmas originating from the samples of KCl + CuSO4 are larger than those originating from the matrix of H3BO3 + CuSO4 at all carbon concentrations, indicating that the first matrix must be in local thermodynamics equilibrium. However, similar results were not found for the other matrix which may explain its high uncertainties in the values of temperature and electron density. It was verified that the slope of the carbon calibration curves were higher for the matrix with elements of low ionization potential than for the other matrix and that this is directly related to the intrinsic properties the plasmas originated, which corroborates the hypothesis of this study. Furthermore, the analysis of correlation between the carbon peak area at 247.89 nm and each point of the LIBS spectra have shown that the Cu II emission at 224.72 nm linearized the calibration curves, minimizing the matrix effects. Finally, this study contributed with advances in the knowledge about matrix effects and with an efficient set of analytical tools for spectra whose application potential is huge.

Nos últimos 20 anos, a espectroscopia de emissão ótica com plasma induzido a laser (LIBS) tem se tornado uma das mais promissoras ferramentas em química analítica, cujas aplicações são destinadas às análises multi-elementares em amostras nos estados sólido, líquido e gasoso. Suas aplicações são as mais diversas, pois sua instrumentação é relativamente simples e pode ser portátil. Em especial, a LIBS apresenta grande potencial de uso na agricultura, com diversas publicações que exploram, principalmente, a concentração de carbono em solos. Entretanto, a construção de modelos gerais de calibração é uma das maiores dificuldades da técnica, pois ela está suscetível aos efeitos de matriz que adicionam comportamentos não-lineares às intensidades das emissões. Com intuito de compreender quais são as principais causas dessa dependência, este trabalho avaliou relações entre propriedades físicas do plasma LIBS e as inclinações das curvas de calibração para cinco emissões de carbono em amostras sintéticas de diferentes potenciais de ionização, sendo elas KCl e H3BO3 com 1% de CuSO4 e concentrações entre 0 e 10 % de carbono. Constatou-se que temperatura e densidade de elétrons dependem inversamente da concentração de carbono nas amostras, o que provavelmente está associado às taxas de ablação de material da amostra e recombinação no interior do plasma. Ademais, esses parâmetros em plasmas originados das amostras de KCl + CuSO4 são maiores do que para a matriz de H3BO3 + CuSO4, além de que apenas plasmas originados da primeira matriz satisfizeram o critério de McWhirter para C I, Cu I e Cu II em todas as concentrações de carbono, indicando que eles devem apresentar condições de equilíbrio termodiâmico local. O mesmo não foi obtido para o caso da matriz de H3BO3 + CuSO4, o que pode explicar suas elevadas incertezas nos valores da temperatura e densidade de elétrons. Verificou-se ainda que as inclinações das curvas de calibração para o carbono foram maiores para o caso da matriz com elementos majoritários de menor potencial de ionização e que isso está diretamente relacionado às propriedades intrínsecas dos plasmas originados, o que corrobora a hipótese deste trabalho. Além disso, cálculos de correlação entre a área do pico de carbono em 247,89 nm e cada ponto dos espectros LIBS mostraram que a emissão de Cu II em 224,72 nm linearizou as curvas de calibração, minimizando os efeitos de matriz. Por fim, este trabalho contribuiu tanto com avanços no conhecimento até então existente a respeito dos efeitos de matriz quanto com um eficiente conjunto de técnicas analíticas para espectros, cujo potencial de aplicação é enorme. / In the last 20 years, laser-induced breakdown spectroscopy (LIBS) has been one of the main tools in analytical chemistry, whose applications are destinated to multi-elementar analysis in solid, liquid or gaseous samples. Its use is diverse, since its instrumentation is relatively simple and can be portable. In particular, LIBS has a great potential for use in agriculture, with many publications that explore mainly the carbon concentration in soils. However, the construction of general calibration models is one of the greatest difficulties of the technique, since it is susceptible to matrix effects that add non-linear behaviors to the emission intensities. In order to understand the main causes of this dependence, this study evaluated the relationships between physical properties of the LIBS plasma and the slope of the calibration curves for carbon emissions in synthetic samples with different ionization potentials. Those samples were made of KCl and H3BO3 with 1% of CuSO4 and carbon concentrations ranging from 0 to 10%. It was found that the plasma temperature and electron density are inversely proportional to the carbon concentration in the samples, which is probably associated with rates of sample ablation and recombination within the plasma. In addition, these parameters in plasmas originating from the samples of KCl + CuSO4 are larger than those originating from the matrix of H3BO3 + CuSO4 at all carbon concentrations, indicating that the first matrix must be in local thermodynamics equilibrium. However, similar results were not found for the other matrix which may explain its high uncertainties in the values of temperature and electron density. It was verified that the slope of the carbon calibration curves were higher for the matrix with elements of low ionization potential than for the other matrix and that this is directly related to the intrinsic properties the plasmas originated, which corroborates the hypothesis of this study. Furthermore, the analysis of correlation between the carbon peak area at 247.89 nm and each point of the LIBS spectra have shown that the Cu II emission at 224.72 nm linearized the calibration curves, minimizing the matrix effects. Finally, this study contributed with advances in the knowledge about matrix effects and with an efficient set of analytical tools for spectra whose application potential is huge.

La LIBS (Laser Induced Breakdown Spectroscopy) est une technique d'analyse élémentaire basée sur l'exploitation du spectre d'émission optique issu de l'ablation laser d'un échantillon. Aujourd'hui, la LIBS ne s'est pas encore imposée comme une technique de choix pour la majorité des applications comme c'est le cas pour les techniques de plasma à couplage inductif. L'une des principales raisons à cela est la difficulté à fournir des mesures quantitatives justes. Il existe donc aujourd'hui une nécessité de mieux comprendre et caractériser les plasmas et les phénomènes issus de l'interaction laser-Matière sur tout type de matériaux pour améliorer les performances de cette technique analytique. Cette interaction laser/matière étant, de plus, spécifique au type de matériau analysé, il est indispensable d'étudier ces effets sur une vaste gamme de matériaux. Deux types d'échantillons ont donc été utilisés pour étudier les plasmas LIBS: des matériaux contenant des terres rares et des matériaux plastiques. Les travaux réalisés sur les terres rares ont permis de sélectionner des raies d'analyse « disponibles », c'est-À-Dire sans interférences spectrales provenant des autres éléments de cette famille et suffisamment sensibles pour réaliser une analyse quantitative. Cette étude a mis en avant le fait que les effets de matrice dus à la quantité de terres rares et à la nature de l'échantillon sont importants. Ces effets de matrice sont propres à chaque élément et à chaque matrice, ils sont donc à prendre en considération pour toute analyse LIBS d'un échantillon contenant plusieurs terres rares. Si l'accumulation d'un grand nombre de terres rares a un effet significatif sur le signal d'un de ces analytes, leurs présences en nombre et quantité limitée (2 à 4) donnent un effet compensable par étalonnage interne. Dans le cadre de l'analyse LIBS des matériaux plastiques, une étude détaillée du signal en utilisant différentes conditions de plasma a été réalisée. L'analyse quantitative s'est portée sur plusieurs éléments dont certains difficiles à exciter comme le brome et le chlore. Grâce à l'utilisation d'une atmosphère contrôlée d'hélium, la détection des halogènes employés comme retardateurs de flamme dans les plastiques, a été possible. Un important effet de matrice a été observé à 266 nm en comparaison avec les résultats obtenus à 532 nm. Cependant, ces différences marquées à 266 nm ont permis la discrimination des quatre familles de polymères étudiées. En présence d'hélium, des différences significatives ont été obtenues pour les rapports C2/He et CN/He. En les traçant l'un en fonction de l'autre, il est ainsi possible de discriminer les différents types de plastiques étudiés / The LIBS (Laser Induced Breakdown Spectroscopy) technique is an elemental analysis technique based on the use of the optical emission spectrum from a sample of laser ablation. Today, LIBS has not emerged as a technique of choice for the majority of applications, as is the case for inductive coupled plasma techniques. One of the main reasons for this is the difficulty in providing accurate quantitative measurements. So there is now a need to better understand and characterize plasmas and phenomena from laser-Matter interaction on all types of materials to improve the performance of this analytical technique. This laser/material interaction is specific to the type of material analyzed, so it is essential to study these effects on a wide range of materials. Two types of samples have been used to study LIBS plasmas: materials containing rare earths and plastics. Work on rare earths were used to select the analytical lines free of spectral interference from other elements of this family and sensitive enough to carry out a quantitative analysis. This study highlighted the fact that the matrix effects due to the amount of rare earth and nature of the sample are important. These matrix effects are unique to each element and matrix, so they are to be considered in all LIBS analysis of a sample containing several rare earths. If the accumulation of a large number of rare earths (i.e 12) has a significant effect on the signal of the analytes, the effect of a limited number (i.e. 2 to 4) could be compensated by use on an internal standard. In the context of the LIBS analysis of plastic materials, a detailed study of the signal using different plasma conditions was performed. The quantitative analysis was focused on several elements, including bromine and chlorine which are difficult to excite. Through the use of a controlled atmosphere of helium, the detection of halogens used as flame retardants in plastics was significantly improved. An important matrix effect was observed at 266 nm in comparison with the results obtained at 532 nm. However, these differences at 266 nm allowed the discrimination of four families of polymers studied. In the presence of helium, significant differences were obtained for the C2 / He and CN / He ratios. This criteria was found to be relevant for the discrimination between the different types of plastics studied

Measuring urinary tobacco specific nitrosamine 4-(methylnitrosamino)-1-(3-pyridyl)-1-butanol (NNAL) and its glucuronide conjugate may provide the best biomarker of tobacco smoke lung carcinogen metabolism. Existence of differences in the extent of NNAL metabolism rates may be potentially related to an individuals’ lung cancer susceptibility. Low concentrations of NNAL in smokers urine (<1 ng/mL) require sensitive and selective methods for analysis. Traditionally, this involves extensive, time-consuming sample preparation that limits throughput and adds to measurement variability. Molecularly imprinted polymers (MIPs) have been developed for the analysis of urinary NNAL by offline cartridge extraction combined with LC-MS/MS. This method when reproduced demonstrated problems with matrix effects. In the first part of this work, investigation of matrix effects and related problems with sensitivity for the published offline extraction method has been conducted. In order to address the need to improve throughput and other analytical figures of merit for the original method, the second part of this work deals with development of a high-throughput online microfluidic method using capillary-columns packed with MIP beads for the analysis of urinary NNAL. The method was validated as per the FDA guidance, and enabled low volume, rapid analysis of urinary NNAL by direct injection on a microfluidic column packed with NNAL specific MIP beads. The method was used for analysis of urinary NNAL and NNAL-Gluc in smokers. Chemometric methods were used with this data to develop a potential cancer-risk-assessment tool based on pattern recognition in the concentrations of these compounds in urine. In the last part, method comparison approaches for the online and the offline sample extraction techniques were investigated. A ‘fixed’ range acceptance criterion based on combined considerations of method precision and accuracy, and the FDA bioanalytical guidance limits on precision and accuracy was proposed. Data simulations studies to evaluate the probabilities of successful transfers using the proposed criteria were performed. Various experimental designs were evaluated and a design comprised of 3 runs with 3 replicates each with an acceptance range of ±20% was found appropriate. The off-line and the on-line sample extraction methods for NNAL analysis were found comparable using the proposed fixed range acceptance criteria.

Analysis of compounds present in complex matrices is always a challenge, which can be partly overcome by applying various sample preparation techniques prior to detection. Ideally, the extraction techniques should be as selective as possible, to minimize the concentration of interfering substances. In addition, results can be improved by efficient chromatographic separation of the sample components. The elimination of interfering substances is especially important when utilizing mass spectrometry (MS) as a detection technique since they influence the ionization yields. It is also important to optimize ionization methods in order to minimize detection limits. In the work this thesis is based upon, selective solid phase extraction (SPE) materials, a restricted access material (RAM) and graphitized carbon black (GCB) were employed for clean up and/or pre-concentration of analytes in plasma, urine and agricultural drainage water prior to liquid chromatography/mass spectrometry (LC/MS). Two SPE formats, in which GCB was incorporated in µ-traps and disks, were developed for cleaning up small and large volume samples, respectively. In addition, techniques based on use of sub-2 µm C18 particles at elevated temperatures and a linear ion trap (LIT) mass spectrometer were developed to improve the efficiency of LC separation and sensitivity of detection of 6-formylindolo[3,2-b]carbazole (FICZ) metabolites in human urine. It was also found that GCB can serve not only as a SPE sorbent, but also as a valuable surface for surface-assisted laser desorption ionization (SALDI) of small molecules. The dual functionality of GCB was utilized in a combined screening-identification/quantification procedure for fast elimination of negative samples. This may be particularly useful when processing large numbers of samples. SALDI analyses of small molecules was further investigated and improved by employing two kinds of new surfaces: oxidized GCB nanoparticles and silicon nitride.

In analytical chemistry the main goal is normally to determine the identity and/or concentration of one or more species in a sample. The samples analyzed are often natural samples, containing numerous different species in a complex matrix and the choice of technique for multi-elemental detection is in general inductively coupled plasma spectrometry. The chemical forms of an element can affect many of its characteristics e.g. toxicity, which makes speciation analysis important. Therefore, determination of the identity and quantity of an element is still important, but for many applications measurements of total element concentration provides insufficient information. To be able to perform speciation analysis, separation, identification and/or characterization of the various forms of elements in the sample has to be accomplished. Speciation analysis has been employed in a wide range of disciplines, including for example environmental science, biology and clinical chemistry. This thesis describes work to improve and understand the elemental speciation analysis with liquid chromatography coupled to plasma spectrometry and also highlights the importance and potential of the synergy between atomic spectrometry and molecular mass spectrometry. The combination of the matrix tolerant, robust and very sensitive plasma spectrometry used together with molecular mass spectrometry, which provides structural information and the possibility to identify unknown species, is demonstrated to be a very powerful tool for speciation analysis. In this thesis methods are developed for on-line sample clean-up and pre-concentration coupled to liquid chromatography and plasma spectrometry, which makes handling of small sample volumes easier and also decreases the risk of contamination. The problems associated with organic modifiers in plasma spectrometry are also addressed. Applications of speciation analysis are exemplified by analysis of aluminium-chelated siderophores in field-soil solutions and organic phosphorous species in aquatic sediments. The possibility to analyze un-dissolved samples as slurries with minimal sample preparation is also discussed.

La spectroscopie de plasma induit par laser (En anglais LIBS: laser-induced breakdown spectroscopy) est une méthode analytique de spectroscopie d'émission optique qui utilise un plasma induit par laser comme source de vaporisation, d'atomisation et d'excitation. Bien que la LIBS ait démontré sa polyvalence et ses caractéristiques attrayantes dans de nombreux domaines, les aspects quantitatifs de la LIBS sont considérés comme son talon d'Achille. D'un point de vue fondamental, cela peut être dû à la nature complexe du plasma induit par laser comme source d'émission spectroscopique. La caractérisation temporelle et spatiale du plasma induit par laser est considérée comme l'un des points clés pour comprendre les fondements de la technique LIBS. D'autre part, la LIBS est habituellement caractérisée par l'utilisation d'une ablation laser directe, sans traitement préalable de l'échantillon. Cela pourrait être assez limitant en particulier pour certains types de matériaux tels que des poudres ou des liquides. Une préparation adéquate ou un traitement approprié de l'échantillon permettant le dépôt d'un film mince et homogène de l'échantillon sur une surface métallique pourrait grandement augmenter le potentiel de la LIBS en vue d'obtenir de meilleures performances analytiques, et notamment une meilleure sensibilité et un effet de matrice réduit. On parle alors de LIBS assistée par surface car la matrice métallique contribue à une augmentation de la température du plasma. Le présent travail de thèse est donc motivé par deux aspects importants de la technique LIBS: la connaissance du plasma induit par laser comme source d'émission spectroscopique, et de nouvelles méthodes de préparation des échantillons pour améliorer la performance analytique de la LIBS, notamment pour des échantillons comme poudres et liquides visqueux. La première partie de cette thèse (chapitre 2) est consacrée à la caractérisation du plasma induit sur des échantillons de verre, en fonction de la longueur d'onde du laser, infrarouge (IR) ou ultraviolet (UV), et du gaz ambiant, de l'air ou de l'argon. L'imagerie spectroscopique et la spectroscopie d'émission résolue en temps et en espace sont utilisées pour le diagnostic du plasma. La deuxième partie de cette thèse est de développer des méthodes de préparation d'échantillons, déposés sur des surfaces métalliques pour l'analyse LIBS de poudres ainsi que de vins comme exemples de liquide. Au chapitre 3, nous avons appliqué la LIBS pour l'analyse quantitative dans des poudres (exemples de poudres : cellulose, alumine ainsi que de la terre). Au chapitre 4, nous avons appliqué la LIBS pour la classification des vins français selon leurs régions de production. Deux modèles de classification basées sur l'analyse des composants principaux (PCA) et la forêt aléatoire (RF) sont utilisés pour la classification. A l'aide de ces applications, ce travail de thèse démontre l'efficacité de la méthode LIBS assistée par surface pour l'analyse de poudres (cellulose, alumine et sols) et de liquides (vins), avec une limite de détection dans l'ordre de ou sous la ppm et une réduction significative de l'effet de matrice / Laser-induced breakdown spectroscopy (LIBS) is an analytical method with optical emission spectroscopy that uses a laser pulse to vaporize, atomize, and excite a hot plasma as the spectroscopic emission source. Although LIBS has demonstrated its versatility and attractive features in many fields, the quantitative analysis ability of LIBS is considered as its Achilles’ heel. From a fundamental point of view, this can be due to the complex nature of laserinduced plasma as the spectroscopic emission source for LIBS application. The temporal and spatial characterization of laser-induced plasma is considered as one of the key points for the LIBS technique. On the other hand, from the analytical point of view, LIBS is usually characterized by direct laser ablation. This can be however quite limiting, especially for some types of materials such as powders or liquids. Proper sample preparation or treatment allowing the deposition of a thin homogeneous film on a metallic surface could greatly improve the analytical performance of LIBS for these types of materials. Since the metallic surface is expected to contribute to increase the temperature and the density of the plasma and, consequently, to a better overall sensitivity, we call this technique surface-assisted LIBS. The present thesis work is therefore motivated by two basic aspects of LIBS analysis: the need of an improved knowledge of laser-induced plasma as a spectroscopic emission source, and new methods to improve the analytical performance of LIBS, including a higher sensibility and a reduced matrix effect. The first part of this thesis (Chapter 2) is dedicated to an extensive characterization of the plasma induced on glass samples, as a function of the laser wavelength, infrared (IR) or ultraviolet (UV), and the ambient gas, air or argon. Both the spectroscopic imaging and time- and space-resolved emission spectroscopy are used for plasma diagnostics in this work. The second part of this thesis is to develop a surface-assisted LIBS method for the elemental analysis in powders, and in wines as examples of liquids. We applied the surface-assisted LIBS for the quantitative elemental analysis in cellulose powders, alumina powders, and soils (Chapter 3). Special attentions are paid on the figures-of-merit, matrix effects, and normalization approaches in LIBS analysis. We also used the surfaceassisted LIBS for the classification of French wines according to their production regions (Chapter 4). Two classification models based on the principal component analysis (PCA) and random forest (RF) are used for the classification. Through these applications, this thesis work demonstrates the efficiency of the surface-assisted LIBS method for the analysis of powders (cellulose, alumina and soils) and of liquids (wines), with ppm or sub-ppm sensitivities and a reduced matrix effect

This thesis explores the potential of Differential Dynamic Microscopy (DDM) as a rapid diagnostic platform with a simplified sample preparation protocol, suitable for both laboratory use and future point-of-use (POU) applications. Focused initially on COVID-19 diagnostics, our study addresses the need for novel techniques capable of quantifying both antibody and viral loads, crucial for comprehensive patient profiling. Traditional assays like PCR and ELISA, while sensitive, are hindered by complexity and expensive equipment requirements. Two distinct DDM-based diagnostic approaches are detailed: protein biomarker quantification and Virus-Like Particle (VLP) quantification. The protein biomarker assay utilizes fluorescence imaging of probe beads, demonstrating quantification capabilities for antibodies in saliva and serum with minimal manipulation and short incubation times. This assay is adaptable to different antibodies and diseases, utilizing widely available laboratory equipment. Conversely, the VLP assay employs dark-field imaging of gold nanoparticle sensors to detect VLPs, achieving a low limit of detection in buffer and salivary samples without amplification or labeling steps. These methodologies highlight DDM's potential for broad laboratory adoption and future POC applications through equipment miniaturization. We present a versatile diagnostic platform poised to revolutionize medical diagnostics, simplifying procedures and accelerating disease detection to improve patient outcomes across diverse healthcare settings. High-throughput implementation in laboratories, including remote and resource-limited regions, is anticipated. Future directions involve clinical validation studies for assay sensitivity and specificity, exploring multiplexing capabilities, and assessing vaccine efficacy using DDM-based assays. The ongoing pursuit of miniaturized equipment aims to further enable POU applications, enhancing accessibility and efficacy in disease diagnostics and monitoring. / Cette thèse explore le potentiel de la Microscopie Dynamique Différentielle (MDD) en tant que plateforme de diagnostic rapide avec un protocole simplifié de préparation des échantillons, adaptée à une utilisation en laboratoire ainsi qu'à des applications futures sur site. Axée initialement sur le diagnostic de la COVID-19, notre étude répond au besoin de techniques novatrices capables de quantifier à la fois les anticorps et les charges virales, essentielles pour un profilage complet des patients. Les méthodes traditionnelles telles que la PCR et l'ELISA, bien que sensibles, sont entravées par leur complexité et les exigences onéreuses en équipement. Deux approches diagnostiques distinctes basées sur la MDD sont détaillées : la quantification des biomarqueurs protéiques et la quantification des particules pseudo-virales (PPV). L'essai pour la détection des biomarqueurs protéiques utilise l'imagerie par fluorescence des billes sondes, démontrant des capacités de quantification des anticorps dans la salive et le sérum avec une manipulation minimale et des temps d'incubation courts. Cette méthode est adaptable à différents anticorps et maladies, utilisant des équipements de laboratoire largement disponibles. En revanche, l'essai de détection des PPV utilise l'imagerie en champ sombre des capteurs à base de nanoparticules d'or pour détecter les PPV, atteignant une faible limite de détection dans les échantillons tampon et salivaires sans étapes d'amplification ni d'étiquetage. Ces méthodologies mettent en lumière le potentiel de la MDD pour une adoption étendue en laboratoire et des futures applications sur site grâce à la miniaturisation de l'équipement. Nous présentons une plateforme de diagnostic polyvalente prête à révolutionner le diagnostic médical, simplifiant les procédures et accélérant la détection des maladies pour améliorer les résultats des patients dans divers environnements de soins de santé. Une mise en œuvre à haut débit dans les laboratoires, y compris dans les régions éloignées et à ressources limitées, est anticipée. Les orientations futures incluent des études cliniques de validation pour la sensibilité et la spécificité des essais de détection, l'exploration des capacités de multiplexage, et l'évaluation de l'efficacité des vaccins à l'aide de la technique MDD. La recherche continue d'équipements miniaturisés vise à faciliter davantage les applications sur site, améliorant ainsi l'accessibilité et l'efficacité dans le diagnostic et le suivi des maladies.

M. Tech. (Biotechnology) Vaal University of Technology / One of the major problems encountered in qualitative and quantitative determination of residual pesticides by gas chromatography is the matrix effects. Matrix components have a considerable effect on the way analysis is conducted and the quality of results obtained, introducing problems such as inaccurate quantification, low analyte delectability and reporting of false positive or even false negative results. It was aimed to develop and validate a suitable method for counteracting the matrix effects so as to improve the detection and quantification of selected organochlorine pesticide residues from real water samples. The real water samples used were sampled from three points along the Jukskei River catchment area in Gauteng, South Africa for a period of 7 months from January to July 201 0 so as to create a representative sample. An automated solid phase extraction (SPE) method coupled to Gas ChromatographyMass Spectrometry (GC-MS) method for the analysis of 20 selected organochlorine pesticides was developed and validated for the purposes of studying the matrix effects. The analytical method showed a significant degree of validity when tested against parameters such as linearity, repeatability and sensitivity. Endosulphan beta, 4,4' Dichlorodiphenyldichloroethane, and Heptachlor-epoxide had the broadest linear calibration ranges of 1 ppm- 0.0156 ppm. Benzene hexachloride (BHC) delta and Lindane had the lowest statistical limits of detection of 0.018 ppm. Statistical hypothesis testing indicated that there was significant linearity in all selected organochlorine calibration curves. Four different reversed sorbent phases, including LC18, SC18- E and Strata-X (styrene divinyl benzene) were tested for organochlorine retention efficiency. The LC-18 200 mg cartridge proved to be the most robust and effective sorbent phase as it produced better recoveries varying from 90-130% for most analytes. A breakthrough volume of 100 ml for the LC-18 200 mg cartridge was determined using an optimum matrix load curve. It was then concluded that the method developed was suitable for further research towards the influence of the matrix on selective determination of the selected organochlorine pesticides. Four different calibration methods, namely matrix-free external standard, matrixmatched external standard, matrix-free internal standard and matrix-matched internal standard were applied to test the efficiency of computing recoveries. All calibration curves for the 20 organochlorine pesticides showed significant linearity > 0.99 when plotted on both Chemstation and Excel. The calibration methods were tested on three different matrices composed of a high sample matrix (synthetic matrix), a low sample matrix (real sample matrix) and a no sample matrix (ultrapure water). Statistical hypothesis testing led to the decision that there are significant differences between the mean recoveries of the three water sample matrices and also that the differences in the mean recoveries of the three sample matrices are independent of the both the two calibration techniques (internal standard and external standard) and calibration types (matrix-matched and matrix-free) applied. This led to the overall conclusion that the matrix effects have an overwhelming influence on the selective determination of the selected organochlorine pesticides.