L’objectif de cette thèse est de démontrer le potentiel de la spectroscopie proche infrarouge multipoints pour suivre en ligne des milieux diffusants et absorbants dont les propriétés physique et chimique varient au cours du temps. Des travaux ont tout d’abord porté sur l’étude d’un milieu où seule la diffusion varie au cours du temps. Le suivi de la réaction de précipitation de la silice a été choisi pour illustrer un tel milieu. Dans un premier temps, des spectres en transmission collimatée ont été mesurés sur des échantillons prélevés au cours du procédé. Grâce à l’application de la loi de Beer-Lambert, il a été possible d'obtenir les coefficients de diffusion de chaque échantillon et ainsi retrouver les différentes étapes de la réaction. Une analyse en composante principale de ces coefficients a montré la présence de deux régimes de diffusion dans le milieu réactionnel. Dans un second temps, une sonde de mesures multipoints, a été immergée dans un réacteur de fabrication. Des spectres ont été mesurés à des angles de 30°, 90°, 150°, 170° et 180° par rapport à la source, tout au long de la précipitation. Une analyse univariée, aux différents angles, a montré des différences et des similitudes entre les positions, en lien avec les interactions lumière matière. Puis une analyse multivariée multi tableaux ACCPS (Analyses en Composantes Communes et Poids Spécifiques) a été appliquée. Elle permet de combiner les informations issues des différents angles et de montrer les informations communes et spécifiques. Cela a permis de valider l’utilisation de la mesure multipoints pour le contrôle du procédé. Grâce à l’analyse des scores globaux, différents types de diffusion et la spécificité de certains angles dans la détection de modifications physiques, ont été identifiés. L’analyse des loadings individuels, a confirmé les différentes étapes réactionnelles identifiées et a révélé des phénomènes relatifs à la diffusion de la lumière comme l’allongement du trajet optique. La même démarche, analyses en laboratoire puis en ligne, a été appliquée à un milieu où la diffusion et l’absorption varient. Le suivi des produits issus des procédés pour l’amélioration de l’extraction du pétrole a été choisi pour illustrer un tel milieu. Dans un premier temps, des microémulsions (eau, huile et tensio-actif) ont été fabriquées de sorte à ce que les propriétés chimiques et physiques soient différentes. Puis chaque phase a été analysée séparément. Une analyse en composantes principales a permis de caractériser les systèmes grâce à l’identification des phases. Elle a également montré que les différences entre elles étaient liées, à la fois à l’absorption et à la diffusion. Pour séparer ces deux phénomènes, une résolution multivariée de courbes par régression alternée a été appliquée. Cela a permis d’expliquer plus en détail les différences entre les phases et d’obtenir des suivis semi-quantitatifs. Enfin dans la dernière partie, les mêmes échantillons ont été analysés en circulation avec une sonde multipoints. Une ACCPS a de nouveau été appliquée et a montré que des phénomènes de diffusion différents avaient lieu entre les classes. De plus elle a mis en lumière une hétérogénéité dans la composition des phases, qui ne pouvait pas être détectée avec des mesures en statique. / The aim of this thesis is to demonstrate the potential of multipoint near infrared spectroscopy to monitor online scattering and absorbing environments, where physical and chemical properties change over time. The work was first based on the study of an environment where scattering was the only parameter varying over time. Monitoring of the silica precipitation reaction has been chosen to illustrate that environment. First of all, spectra in collimated transmittance mode were acquired from samples collected during the process. Thanks to the Beer-Lambert law, scattering coefficients of each sample were obtained and from them the different steps of the reaction were found. A principal component analysis of those coefficients showed the existence of two scattering modes into the reaction environment. In the second phase, a multipoint probe was submerged in an industrial reactor. Spectra were measured during the precipitation with angle of 30°, 90°, 150°, 170° and 180° to the source. A univariate analyse at those different angles showed differences and similarities between the positions, linked to the interaction of light and matter. Then, a multiblock and multivariate analysis, CCSWA (Common Component and Specific Weight Analysis), was applied. It allows the combination of information from different angles and also shows common and specific information, in order to validate the use of multipoint measurement to monitor the process. Thanks to the analysis of global scores, different kind of scattering and the specificity of some angle, in the detection of physical modifications were identified. The analysis of individual loadings confirmed the identification of the different steps of reaction and has revealed some phenomena related to light scattering, such as the extension of the optical path. The same approach, analysis in the laboratory then online, was applied on an environment where scattering and absorption vary. Monitoring of products from the process to improve oil extraction, has been chosen to illustrate that environment. First of all, micro emulsions (water, oil and surfactant) were made so that physical and chemical properties would be different between samples. Then, each phase was analysed separately. A principal component analysis was used to characterize the system by phase identification. It also showed the differences between the phases were linked, both to absorption and scattering. In order to separate those two phenomena, a multivariate resolution by alternate regression has been applied. It has permitted to explain in more details the differences between the phases and to obtain semi-quantitative monitoring. Finally, in the last part, the same samples were analysed in circulation with a multipoint probe. A CCSWA has been applied again and showed that different scattering phenomenon occurred between the categories. Moreover, it highlighted a heterogeneity in the phases' composition that couldn’t be detected in static measurement.

Made available in DSpace on 2014-12-17T15:42:05Z (GMT). No. of bitstreams: 1 AnaCON_DISSERT.pdf: 2560306 bytes, checksum: 01b4c26da4748508add3442c02e1b43b (MD5) Previous issue date: 2013-02-04 / Coordena??o de Aperfei?oamento de Pessoal de N?vel Superior / In this work, the quantitative analysis of glucose, triglycerides and cholesterol (total and HDL) in both rat and human blood plasma was performed without any kind of pretreatment of samples, by using near infrared spectroscopy (NIR) combined with multivariate methods. For this purpose, different techniques and algorithms used to pre-process data, to select variables and to build multivariate regression models were compared between each other, such as partial least squares regression (PLS), non linear regression by artificial neural networks, interval partial least squares regression (iPLS), genetic algorithm (GA), successive projections algorithm (SPA), amongst others. Related to the determinations of rat blood plasma samples, the variables selection algorithms showed satisfactory results both for the correlation coefficients (R?) and for the values of root mean square error of prediction (RMSEP) for the three analytes, especially for triglycerides and cholesterol-HDL. The RMSEP values for glucose, triglycerides and cholesterol-HDL obtained through the best PLS model were 6.08, 16.07 e 2.03 mg dL-1, respectively. In the other case, for the determinations in human blood plasma, the predictions obtained by the PLS models provided unsatisfactory results with non linear tendency and presence of bias. Then, the ANN regression was applied as an alternative to PLS, considering its ability of modeling data from non linear systems. The root mean square error of monitoring (RMSEM) for glucose, triglycerides and total cholesterol, for the best ANN models, were 13.20, 10.31 e 12.35 mg dL-1, respectively. Statistical tests (F and t) suggest that NIR spectroscopy combined with multivariate regression methods (PLS and ANN) are capable to quantify the analytes (glucose, triglycerides and cholesterol) even when they are present in highly complex biological fluids, such as blood plasma / No presente trabalho, a an?lise quantitativa de glicose, triglicer?deos e colesterol (total e HDL) em plasma sangu?neo de ratos e humanos foi realizada sem necessidade de pr?tratamentos de amostras, atrav?s do uso da espectroscopia no infravermelho pr?ximo (NIR), aliada a m?todos multivariados. Para tanto, foram comparadas diferentes t?cnicas e algoritmos utilizados para pr?-processamentos de dados, sele??o de vari?veis e regress?es multivariadas, tais como a regress?o por m?nimos quadrados parciais (PLSR), regress?o n?o linear via redes neurais artificiais (ANN), regress?o por m?nimos quadrados parciais por intervalos (iPLS), algoritmo gen?tico (GA), algoritmo das proje??es sucessivas (SPA), entre outros. Para as determina??es em sangue de ratos, os algoritmos de sele??o de vari?veis apresentaram resultados satisfat?rios tanto em rela??o aos coeficientes de correla??o (R?) quanto para os valores de erro quadr?tico m?dio de previs?o (RMSEP) para os tr?s analitos, especialmente para triglicer?deos e colesterol-HDL. Os valores de RMSEP para glicose, triglicer?deos e colesterol-HDL atrav?s do melhor modelo PLS foram de 6,08, 16,07 e 2,03 mg dL-1, respectivamente. Para as determina??es em sangue de humanos, as previs?es atrav?s de modelos PLS apresentaram resultados insatisfat?rios, com comportamento n?o linear e presen?a de bias. A regress?o ANN foi investigada como uma alternativa ao PLS, por sua habilidade de modelar sistemas n?o lineares. O erro quadr?tico m?dio de monitoramento (RMSEM) para glicose, triglicer?deos e colesterol total, para os melhores modelos ANN, foram de 13,20, 10,31 e 12,35 mg dL-1, respectivamente. Testes estat?sticos (F e t) sugerem que a espectroscopia NIR aliada a m?todos de regress?o multivariados (PLS e ANN) possuem capacidade de quantificar os analitos (glicose, triglicer?deos e colesterol) mesmo quando os mesmos est?o presentes em fluidos biol?gicos altamente complexos, como o plasma sangu?neo

As Boas Práticas de Fabricação de Medicamentos (BPFM) enfatizam que a indústria farmacêutica deve dirigir seus esforços no sentido de compreender a variação do processo, incluindo as fontes, o grau de variação e o impacto dessa variação nas características de qualidade do produto. O processo de fabricação de medicamentos tem apresentado significativas mudanças, em especial no que se refere à introdução de tecnologias analíticas que permitem o controle do processo em tempo real. A abordagem baseada na análise de risco e no novo Sistema de Qualidade Farmacêutica constitui ponto central das BPFM para o século XXI. Os órgãos regulatórios têm exigido da indústria farmacêutica sua adesão na melhoria contínua relativa ao desempenho de seus processos e, por consequência, na qualidade do produto. O objetivo do presente trabalho foi o desenvolvimento e validação de método analítico empregando espectroscopia no infravermelho próximo, assim como a avaliação do processo de fabricação de comprimidos de Captopril 25 mg, empregando abordagem racional-científica. Com referência à avaliação do processo, foram adotadas as seguintes ferramentas: análise de modos e efeitos de falhas (FMEA); gráficos de controle; índices de capacidade e análise de variância (ANOVA). A espectroscopia por infravermelho próximo (NIR) foi selecionada por apresentar maior rapidez na obtenção dos resultados, maior simplicidade na preparação das amostras, multiplicidade das análises a partir de uma única leitura e por apresentar característica não invasiva. Os resultados comprovaram a adequação dessa tecnologia na avaliação quantitativa do Captopril nas etapas de mistura de pós e de compressão. Os desvios padrão relativos na determinação da uniformidade de Captopril na mistura de pós e nos comprimidos empregando método no NIR foram, respectivamente 3,15 e 0,18%. No que se refere à avaliação da estabilidade e da capacidade do processo, as ferramentas adotadas permitiram a compreensão das fontes de variabilidade, assim como a determinação de seu grau, nas diferentes etapas do processo. Os índices de capacidade (CpK) relativos à uniformidade de Captopril (% p/v) na mistura de pós, ao peso médio do comprimido, à uniformidade de conteúdo e à % (p/v) dissolvida de Captopril, no ensaio de dissolução, foram 0,70, 1,94, 1,80 e 2,19, respectivamente. / The Good Manufacturing Practices (GMP) for Medicinal Products point out that the pharmaceutical industry must direct efforts to understand the variation of the processes, including the sources, the level of variation and the variation impact on the process in characteristics of the product. The manufacturing process has shown meaningful changes, especially in the introduction of new analytical technologies that allow the process control in real time. The approach based on risk analyses and on the new Pharmaceutical Quality System is a central key for the GMP for the XXI century. The Regulatory Agencies have demanded the pharmaceutical industry to adhere the continuous improvement related to the performance of its processes and, consequently, the product quality. Thus, the present paper aimed the development and validation of the analytical method employing NIR spectroscopy as the assessment of manufacturing process of Captopril 25 mg tablets, using rational scientific approach. Regarding the process assessment, the following tools were adopted: analysis of failure modes and effects analysis (FMEA), control charts, capability indexes, as well as analysis of variance (ANOVA). The near-infrared spectroscopy was selected due to its greater speed in getting the results, simplicity in sample preparation, and multiplicity of analysis from a single reading and provide non-invasive feature. The results confirmed the suitability of this technology in quantitative assessment of Captopril on the steps of mixing powders and compression. The relative standard deviations for the determination of Captopril uniformity in the post mixtures and in the tablets employing NIR were 3,15 e 0,18%, respectively. In reference to the stability assessment and process capacity, the tools adopted permitted the understanding of the sources of variability, as well as the determination of their level in different phases of the process. The capacity indexes relating to Captopril uniformity (% p/v) in the powder mixture, the average weight of the tablet, the content uniformity and the % (p/v) dissolved Captopril, in the dissolution assay were 0,70, 1,94, 1,80 and 2,19, respectively.

Submitted by Marcos Anselmo (marcos.anselmo@unipampa.edu.br) on 2016-09-21T20:29:32Z No. of bitstreams: 2 license_rdf: 1232 bytes, checksum: 66e71c371cc565284e70f40736c94386 (MD5) Natana Becker.pdf: 1266893 bytes, checksum: 018f6e1bf563008837c534403e5c801e (MD5) / Approved for entry into archive by Marcos Anselmo (marcos.anselmo@unipampa.edu.br) on 2016-09-21T20:29:52Z (GMT) No. of bitstreams: 2 license_rdf: 1232 bytes, checksum: 66e71c371cc565284e70f40736c94386 (MD5) Natana Becker.pdf: 1266893 bytes, checksum: 018f6e1bf563008837c534403e5c801e (MD5) / Made available in DSpace on 2016-09-21T20:29:52Z (GMT). No. of bitstreams: 2 license_rdf: 1232 bytes, checksum: 66e71c371cc565284e70f40736c94386 (MD5) Natana Becker.pdf: 1266893 bytes, checksum: 018f6e1bf563008837c534403e5c801e (MD5) Previous issue date: 2015-08-21 / Os fármacos valsartana (VAL), hidroclorotiazida (HCT) e besilato de anlodipino (ANL) são utilizados em associação e comercializados no Brasil como agentes anti-hipertensivos. Geralmente a determinação simultânea destes fármacos é realizada por cromatografia líquida de alta eficiência (CLAE). Este trabalho teve por objetivo a determinação simultânea de VAL, HCT e ANL em uma formulação comercial de comprimidos através da técnica de espectroscopia no infravermelho próximo com transformada de Fourier e acessório de esfera de integração (FT-NIR) associadas a métodos de análise multivariada. Os modelos de calibração foram construídos utilizando mínimos quadrados parciais (PLS) e seleção de variáveis através dos algoritmos mínimos quadrados parciais por intervalo (iPLS) e mínimos quadrados parciais por sinergismo de intervalos (siPLS). Um total de 36 amostras sintéticas e 1 amostra real (26 amostras para o conjunto de calibração e 11 amostras para o conjunto de previsão), foram utilizadas as faixas de concentração de 261,9-500,0 mg g-1 para VAL; 20,2-83,3 mg g-1 para HCT e 11,6-49,6 mg g-1 para ANL. Os dados espectrais foram adquiridos na faixa de 4000 a 10000 cm-1 com resolução de 4 cm-1 por FT-NIR. Os melhores modelos foram obtidos através da utilização do pré-processamento centrado na média (CM) e do tratamento de correção do espalhamento de luz (MSC). O erro relativo de previsão (RSEP%) de 1,27% para VAL, 1,92% para HCT e 5,19%para ANL, foi obtido após seleção dos melhores intervalos por siPLS para dados obtidos por FT-NIR. Não foi encontrada diferença significativa (teste t-pareado, 95% de confiança) entre os valores do método de referência e do método proposto. Os resultados mostraram que modelos de regressão PLS (associados a métodos de seleção de variáveis, como iPLS e siPLS) combinados com FT-NIR são promissores no desenvolvimento de metodologias mais simples, rápidas e não destrutivas. Estes modelos permitem a determinação simultânea de VAL, HCT e ANL na formulação farmacêutica. / Valsartan (VAL), hydrochlorothiazide (HCT) and amlodipine besylate (ANL) drugs are used in combination and they are commercialized in Brazil as antihypertensive agents. Generally, the simultaneous determination of these drugs is carried out by high performance liquid chromatography (CLAE). This study aimed to the simultaneous determination of VAL, HCT, and ANL in a comercial tablet formulation through the technique near infrared spectroscopy with Fourier transform and integrating sphere accessory (FT- NIR) associated with methods of multivariate analysis. The calibration models were built using partial least squares (PLS) and variable selection through partial least squares algorithms for interval (iPLS) and partial least squares by synergism intervals (siPLS). A total of 36 synthetic samples 1 and commercial sample (26 samples for the calibration sample set and 11 for the prediction set), were used the concentration ranges of 261.9-500.0 mg g-1 for VAL; 20.2-83.3 mg g-1 for HCT and 11.6-49.6 mg g-1 for ANL. The spectral data were acquired in the range 4000-10000 cm-1 with resolution of 4 cm-1 by FT-NIR. Multiplicative scatter correction (MSC) and the data centered in the media (CM) produced the best models. A relative standard error of prediction (RSEP%) of 1.27% for VAL, 1.92% for HCT and 5.19% for ANL was obtained after selection of the best intervals for data obtained by siPLS FT-NIR. There was no significant difference (paired t-test, 95% confidence) between the values of the reference method and the proposed method. Results showed that PLS models regression (associated with iPLS and siPLS regression models) combined with FT-NIR are promising in the development of simpler methods, rapid and non-destructive. These models allow simultaneous determination of VAL, HCT, and ANL in the pharmaceutical formulation.

Measurement of tissue hemodynamics provides vital information for the assessment of tissue viability. This thesis reports three noninvasive near-infrared diffuse optical systems for spectroscopic measurements and tomographic imaging of tissue hemodynamics in vulnerable tissues with the goal of disease diagnosis and treatment monitoring. A hybrid near-infrared spectroscopy/diffuse correlation spectroscopy (NIRS/DCS) instrument with a contact fiber-optic probe was developed and utilized for simultaneous and continuous monitoring of blood flow (BF), blood oxygenation, and oxidative metabolism in exercising gastrocnemius. Results measured by the hybrid NIRS/DCS instrument in 37 subjects (mean age: 67 ± 6) indicated that vitamin D supplement plus aerobic training improved muscle metabolic function in older population. To reduce the interference and potential infection risk on vulnerable tissues caused by the contact measurement, a noncontact diffuse correlation spectroscopy/tomography (ncDCS/ncDCT) system was then developed. The ncDCS/ncDCT system employed optical lenses to project limited numbers of sources and detectors on the tissue surface. A motor-driven noncontact probe scanned over a region of interest to collect boundary data for three dimensional (3D) tomographic imaging of blood flow distribution. The ncDCS was tested for BF measurements in mastectomy skin flaps. Nineteen (19) patients underwent mastectomy and implant-based breast reconstruction were measured before and immediately after mastectomy. The BF index after mastectomy in each patient was normalized to its baseline value before surgery to get relative BF (rBF). Since rBF values in the patients with necrosis (n = 4) were significantly lower than those without necrosis (n = 15), rBF levels can be used to predict mastectomy skin flap necrosis. The ncDCT was tested for 3D imaging of BF distributions in chronic wounds of 5 patients. Spatial variations in BF contrasts over the wounded tissues were observed, indicating the capability of ncDCT in detecting tissue hemodynamic heterogeneities. To improve temporal/spatial resolution and avoid motion artifacts due to a long mechanical scanning of ncDCT, an electron-multiplying charge-coupled device based noncontact speckle contrast diffuse correlation tomography (scDCT) was developed. Validation of scDCT was done by imaging both high and low BF contrasts in tissue-like phantoms and human forearms. In a wound imaging study using scDCT, significant lower BF values were observed in the burned areas/volumes compared to surrounding normal tissues in two patients with burn. One limitation in this study was the potential influence of other unknown tissue optical properties such as tissue absorption coefficient (µa) on BF measurements. A new algorithm was then developed to extract both µa and BF using light intensities and speckle contrasts measured by scDCT at multiple source-detector distances. The new algorithm was validated using tissue-like liquid phantoms with varied values of µa and BF index. In-vivo validation and application of the innovative scDCT technique with the new algorithm is the subject of future work.

<p>The mortality of thoracic aortic diseases (mainly aneurysms and dissections) is high, even with surgical treatment. Epidemiology and long-term outcomes are incompletely investigated. Stroke is a major complication contributing to mortality, morbidity, and possibly to reduced quality of life. </p><p><i>Study I</i> Increasing incidence of thoracic aortic diseases 1987 – 2002 was demonstrated (n=14229). Annual number of operations increased eight-fold. Overall long-time survival was 92%, 77%, and 57% at 1, 5, and 10 years. Risk of operative and long-term mortality was reduced across time.</p><p><i>Study II</i> 2634 patients operated on the proximal thoracic aorta (Swedish Heart Surgery register) were examined. Aortic valve replacement, coronary revascularization, emergency operation, and age were independently associated with surgical death. Long-term mortality was similar for aneurysms and dissections. Operative mortality was reduced (13.7% vs 7.2%) for aneurysms but remained unchanged (22.3% vs 22.4%) for dissections across time.</p><p><i>Study III</i> 65 patients underwent selective antegrade cerebral perfusion (SACP) uni- or bilaterally. Stroke was significantly more common after unilateral SACP (29% vs 8%, p=0.045), confirmed by propensity score-matched analysis. Subclavian artery cannulation with Seldinger-technique entailed vascular complication in one case (1.5%).</p><p><i>Study IV</i> Near-infrared spectroscopy (NIRS) was used to monitor cerebral tissue saturation (rSO2) during SACP in 46 patients. Lower rSO2 were encountered (1) in patients suffering a stroke (2) with unilateral SACP, and (3) in the affected hemisphere of stroke victims. A decrease of rSO2 by 14 – 21% from baseline increased the risk of stroke significantly.</p><p><i>Study V</i> Quality of life (QoL) in 76 survivors of thoracic aortic surgery was examined with the SF-36 health questionnaire. Except for pain, QoL was reduced in all dimensions. QoL was not affected by acuity of operation. Tendencies of lower QoL after descending aortic operations, after major complications, and with persistent dysfunction were non-significant.</p>

The mortality of thoracic aortic diseases (mainly aneurysms and dissections) is high, even with surgical treatment. Epidemiology and long-term outcomes are incompletely investigated. Stroke is a major complication contributing to mortality, morbidity, and possibly to reduced quality of life. Study I Increasing incidence of thoracic aortic diseases 1987 – 2002 was demonstrated (n=14229). Annual number of operations increased eight-fold. Overall long-time survival was 92%, 77%, and 57% at 1, 5, and 10 years. Risk of operative and long-term mortality was reduced across time. Study II 2634 patients operated on the proximal thoracic aorta (Swedish Heart Surgery register) were examined. Aortic valve replacement, coronary revascularization, emergency operation, and age were independently associated with surgical death. Long-term mortality was similar for aneurysms and dissections. Operative mortality was reduced (13.7% vs 7.2%) for aneurysms but remained unchanged (22.3% vs 22.4%) for dissections across time. Study III 65 patients underwent selective antegrade cerebral perfusion (SACP) uni- or bilaterally. Stroke was significantly more common after unilateral SACP (29% vs 8%, p=0.045), confirmed by propensity score-matched analysis. Subclavian artery cannulation with Seldinger-technique entailed vascular complication in one case (1.5%). Study IV Near-infrared spectroscopy (NIRS) was used to monitor cerebral tissue saturation (rSO2) during SACP in 46 patients. Lower rSO2 were encountered (1) in patients suffering a stroke (2) with unilateral SACP, and (3) in the affected hemisphere of stroke victims. A decrease of rSO2 by 14 – 21% from baseline increased the risk of stroke significantly. Study V Quality of life (QoL) in 76 survivors of thoracic aortic surgery was examined with the SF-36 health questionnaire. Except for pain, QoL was reduced in all dimensions. QoL was not affected by acuity of operation. Tendencies of lower QoL after descending aortic operations, after major complications, and with persistent dysfunction were non-significant.

In the breeding of grain sorghum (Sorghum bicolour L. Moench) towards improved nutrition and agronomic performance, new methodologies are required to increase genetic diversity and lower the inputs required to track and screen breeding populations. Near-infrared calibration models were developed by partial least squares (PLS) and test-set validation on 364 sorghum samples to predict crude protein and moisture content on whole-grain and milled flour samples. Models using milled flour spectra were more accurately predictive than those from whole grain spectra for all constituents (eg. Protein: R2 = 0.986 on flour vs R2 = 0.962 on whole grain). Discriminant calibrations were established to classify grain colour using partial least squares discriminant analysis (PLS-DA) based upon CIE L*a*b* reference values and visual ranking. Preliminary calibrations were developed for quantities of 18 amino acids, fat and apparent metabolisable energy (AME) on 40 samples using cross-validation, highlighting potential for reliable calibration for these parameters in sorghum. An investigation into the potential of 12C6+ heavy-ion beam mutagenesis of sorghum seed was undertaken by treatment at RIKEN Accelerator Research Facility (Saitama, Japan) and subsequent breeding at Ukulinga research farm and analysis at the Department of Plant Pathology, University of KwaZulu-Natal, Pietermaritzburg, South Africa. Dosage rates of 75, 100 and 150 Gy were compared in seven sorghum varieties to establish optimal dose treatments as determined by germination and survival rates, visible morphological changes and field data over two seasons of field trials. Crude protein variation within the M2 generation was analysed to compare dose rate effects. The need for higher dose rates was indicated by few quantified differences between treatments and control although good correlations between protein deviation and treatment dose rate were elucidated. Differences in varietal response suggest a need to optimize dose rate for specific varieties in future endeavours. In addition, all mutagenized populations were screened for crude protein content using near-infrared spectroscopy (NIRS). Significant differences in protein levels and standard deviations were observed between treated self-pollinated M2 generations and untreated control populations. Individual plants displaying significantly different protein levels were isolated. / Thesis (M.Sc.)-University of KwaZulu-Natal, Pietermaritzburg, 2009.

L’atteinte de la fonction endothéliale représente une phase précoce de l’athérosclérose, un stade où les patients sont généralement asymptomatiques. Il existe donc un intérêt certain à détecter la dysfonction endothéliale. Nous avons développé une technique de mesure des variations de flot artériel au niveau des membres supérieurs, basée sur la spectroscopie proche infrarouge (NIRS). Cette approche permettrait d’étudier le niveau d’atteinte vasculaire et probablement de quantifier le degré de dysfonction endothéliale périphérique lors d’une hyperémie réactive. L'expérience a été exécutée sur deux cohortes de 13 et de 15 patients et a été comparée à la pléthysmographie par jauge de contrainte (SGP) qui est considérée comme une méthode de référence. Par la suite, nous avons caractérisé la réponse endothéliale par modélisation de la courbe hyperémique du flot artériel. Des études préliminaires avaient démontré que la réponse hyperémique adoptait majoritairement une forme bi-modale. Nous avons tenté de séparer les composantes endothéliales-dépendantes et endothéliales-indépendantes de l’hyperémie. La quantification des deux composantes de la réaction hyperémique permet de calculer un indice de la ‘santé’ du système endothélial local. Cet indice est nommé le ηfactor. Les résultats montrent une forte corrélation des mesures de flots entre la technique développée et la méthode de référence (r=0.91). Nous avons conclu que NIRS est une approche précise pour la mesure non-invasive du flot artériel. Nous avons obtenu une bonne répétabilité (ICC = 0.9313) pour le ηfactor indiquant sa robustesse. Cependant des études supplémentaires sont nécessaires pour valider la valeur de diagnostic du facteur défini. Mots clés: hyperémie réactive, réponse myogénique, oxyde nitrique, athérosclérose, spectroscopie proche infrarouge / Atherosclerotic diseases are mainly caused by coronary and peripheral blood vessel disorders. Endothelial dysfunction represents an early phase in these diseases, when patients are generally asymptomatic. We developed a technique, based on near infrared spectroscopy (NIRS), for measurement of arterial blood flow variations in limbs during reactive hyperemia. The technique allows the study of the level of vascular impairment and probably quantifying the level of endothelial dysfunction at peripheral arteries. The experiment was performed on two cohorts of 13 and 15 patients and was compared to strain gauge plethysmography (SGP) which is considered as gold standard. Afterward, we characterized endothelial reaction during reactive hyperemia through blood flow variations by modeling the hyperemic curve. Preliminary studies have shown that the hyperemic response generally adopts a bimodal form. The first peak was attributed to myogenic reaction that is endothelial independent and the second one to local endothelial cells reaction. The quantification of the two hyperemic response components makes it possible to calculate an index of ‘health’ for local endothelial cells, named ηfactor. The results showed a strong correlation (r = 0.91) of blood flow measurements between the developed method and the gold standard. We concluded that NIRS is a precise technique for non-invasive measurement of blood flow. Moreover, we found a high repeatability (ICC = 0.9313) of the ηfactor in repeated measurements indicating its robustness. Nonetheless, more studies are required to validate the diagnosis value of the defined factor. Key words: reactive hyperemia, myogenic response, endothelial dependent vasodilatation, nitric oxide, atherosclerosis, near infrared spectroscopy (NIRS)

Au cours du vieillissement, des modifications dans la compréhension du discours ont été rapportées, attribuées en partie aux changements cognitifs encourus lors du vieillissement. Néanmoins, diverses études suggèrent une réorganisation cérébrale lors du vieillissement. Cette étude a pour but d'évaluer l'influence de l'âge lors d'une tâche de compréhension du discours à l'aide de l'imagerie optique. Comme première hypothèse, il est attendu que les participants jeunes auront plus de bonnes réponses au niveau des micropropositions et des macropropositions et des performances équivalentes au niveau du modèle de situation. La deuxième hypothèse est que les réseaux neuronaux utilisés lors de la compréhension du discours subiront une réorganisation cérébrale lors du vieillissement. Trente-deux participants ont pris part à cette étude : 16 jeunes adultes et 16 adultes âgés. Alors que les participants étaient sous enregistrement en imagerie optique au niveau du cortex préfrontal (CPF), ils ont lu des courtes histoires chacune suivie d’une phrase et devaient décider si elle était en accord ou non avec la précédente histoire. Les résultats ne montrent aucune différence entre les groupes au niveau de l’exactitude des réponses, contrairement à la littérature. Le CPF a été davantage activé par les adultes âgés comparativement aux jeunes adultes témoignant d’une réorganisation cérébrale. / During aging, changes in discourse comprehension have been reported, attributed in part by cognitive changes that occur during aging. Moreover, various studies suggest a cerebral reorganization with aging. This study aims to evaluate the influence of aging on cerebral reorganization during discourse comprehension using near infrared spectroscopy (NIRS). The first hypothesis is that younger adults will have better accuracy on micropropositions and macropropositions, but will have equivalent performance for the situation model. The second hypothesis is that the neural networks used for discourse comprehension will be reorganized during aging. Thirty-two participants took part in this study: 16 young adults and 16 older adults. While undergoing NIRS recording on the prefrontal cortex (PFC), the participants read short stories each followed by a sentence deciding if it was in agreement or not with the previous story. Results didn’t show any differences for accuracy between the group, in opposition with the literature. The PFC was more activated by the older adults compared to the younger adults showing a cerebral reorganization.