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No description available.

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The Thermoelectric Perfusion Probe is a completely electronic system that cyclically heats and cools tissue to measure blood perfusion. The probe produces the thermal event with a thermoelectric cooler and then measures the resulting heat flux and temperatures: the arterial temperature and the sensor temperature (the temperature between the heat flux gage and the skin). The Thermoelectric Perfusion Probe was validated and calibrated on a phantom tissue test stand, a system that simulates perfusion with known, controlled flow. With the new pressed sensor technology, a thermocouple sealed to a heat flux gage, the sensor temperature and the heat flux are simultaneously recorded. The pressed sensor tests validated the program used to predict perfusion for the Thermoelectric Perfusion Probe. This perfusion estimation program can determine the tissues perfusion regardless of how the thermal event is created (i.e. convective cooling, convective heating, conductive heating). Based on experimentation, the Thermoelectric Perfusion Probe displays good repeatability and sensitivity for continuously measuring perfusion. The sensitivity and repeatability of the Thermoelectric Perfusion Probe was proven when the perfusion estimates were compared to the perfusion estimates predicted by the Convective Perfusion Probe, a previously validated perfusion probe, and the CFD Flow Model, a computational model of the phantom tissue test stand. / Master of Science

No description available.

The physical and biophysical properties of a biological membrane model, phosphatidylcholine bilayers, were investigated using novel spiropyran/merocyanine molecular probes. The femtosecond to second dynamics of this system's photochemistry enabled bilayer viscosity and free volume to be studied over a broad time scale. Spiropyrans/merocyanines with different polarity were synthesized by changing the substitution of the indole moiety enabling determination of the trans-membrane properties of the bilayer. In addition, transient grating spectroscopy was used to study thermal energy transfer in phospholipid bilayers on a picosecond time scale.Femtosecond transient absorption spectroscopy was used to study the photo-induced spiropyran ring-opening and isomerization reactions that produce the highly polar merocyanine species. The hindered rotation of the merocyanine bridge results in several metastable merocyanine isomers. The merocyanine ground state was determined to be populated predominantly by two isomers (TTC and TTT). Selective photoexcitation of these isomers results in excited state isomerization producing a third isomer (τ = 60 ps). Merocyanine thermal ring-closing was observed on a seconds time scale. Reaction kinetics, and solvatochromic and photochromic properties of merocyanines and spiropyrans were used to determine the bilayer physical properties. Bilayer viscosity was determined from merocyanine isomerization kinetics. Phospholipid bilayer free volume (the unoccupied volume enclosed in the bilayer) was determined from a modified Kramers' analysis. The greatest free volume was found in the extreme interior of the bilayer, while the head-group region exhibited the least free volume in qualitative agreement with molecular dynamics simulations of these bilayer systems. Free volumes determined via ps experiments were lower than those determined on a seconds time scale due to reduced acyl chain dynamics on the ps time scale.Femtosecond transient grating spectroscopy was used to study the rate of thermal energy transfer from photo-excited porphyrin molecules to the surrounding solvent. Thermal energy transfer was observed as photo-acoustic waves propelled through the system upon relaxation of photo-excited porphyrin molecules in aqueous solution and embedded in bilayers. For liposome solutions, a bimodal energy transfer model was developed. The determined rate constants suggest that energy transfer occurs predominantly via thermal diffusion and vibrational energy transfer, while lipid dynamics (isomerizations) are not involved.

Proteínas tipicamente são capazes de manter a sua conformação funcional somente dentro de um intervalo limitado de temperaturas. A despeito do maquinário sofisticado de manutenção da homeostase celular, é sabido que uma variedade de fenômenos moleculares são capazes de induzir desequilíbrios localizados de energia vibracional, e que a eficiência com que cada proteína dissipa estas perturbações pode estar relacionada com a sua tolerância a altas temperaturas. No entanto, a transferência de energia térmica entre diferentes segmentos de uma cadeia proteica é difícil de caracterizar experimentalmente. Uma alternativa teórica para a investigação destes mecanismos é o emprego de simulações de Dinâmica Molecular, particularmente associadas à técnica de Difusão Térmica Anisotrópica (ATD). Aqui, verificamos a possibilidade de empregar conceitos da teoria de Redes Complexas para construir modelos para estruturas de proteínas, e por meio destes identificar resíduos com capacidade significativa de dissipar perturbações térmicas. Investigamos os diversos protocolos de construção de modelos de rede para proteínas encontrados na literatura, e utilizamos dados experimentais representativos da base SCOP para calcular com rigor os parâmetros numéricos necessários. Produzimos uma definição precisa para o conceito de contato entre resíduos de aminoácidos, e a partir desta calculamos a centralidade de cada resíduo. Com isto, demonstramos que, em um conjunto de Xilanases para as quais dispomos de dados de ATD, a capacidade de difundir perturbações térmicas é fortemente correlacionada com a centralidade de proximidade de cada resíduo, fornecendo argumentos para o uso de modelos de rede para estudar a termoestabilidade de proteínas. / Proteins are typically able to mantain a functional conformation only within a narrow range of temperatures. In spite of the complex cellular homeostatic machinery, it is known that a variety of molecular phenomena can induce localized vibrational imbalances, and that the efficiency with which each protein dissipates these perturbations may be related to its tolerance of higher temperatures. The transference of thermal energy among different sections of a protein chain is, however, hard to characterize experimentally. A theoretical alternative for the investigation of these mechanisms is the use of Molecular Dynamics simulations, particularly when associated with the Anisotropic Thermal Diffusion (ATD) technique. In this work, we verify the possibility of using concepts from Network Theory to construct models for protein structures, and using those to reveal residues with significant ability to dissipate thermal perturbations. We investigate several protocols of network model construction for proteins present in the literature, and we study representative experimental data from the SCOP database to rigorously calculate the necessary parameters. We produce a precise definition for the concept of contact between amino acid residues, and from this we calculate the centrality of each residue. We then show that, in a set of Xylanases for which we have data from ATD experiments, the ability to dissipate thermal perturbations is highly correlated to the closeness centrality of each residue, providing arguments for the use of network models to study protein thermal stability.

Proteínas tipicamente são capazes de manter a sua conformação funcional somente dentro de um intervalo limitado de temperaturas. A despeito do maquinário sofisticado de manutenção da homeostase celular, é sabido que uma variedade de fenômenos moleculares são capazes de induzir desequilíbrios localizados de energia vibracional, e que a eficiência com que cada proteína dissipa estas perturbações pode estar relacionada com a sua tolerância a altas temperaturas. No entanto, a transferência de energia térmica entre diferentes segmentos de uma cadeia proteica é difícil de caracterizar experimentalmente. Uma alternativa teórica para a investigação destes mecanismos é o emprego de simulações de Dinâmica Molecular, particularmente associadas à técnica de Difusão Térmica Anisotrópica (ATD). Aqui, verificamos a possibilidade de empregar conceitos da teoria de Redes Complexas para construir modelos para estruturas de proteínas, e por meio destes identificar resíduos com capacidade significativa de dissipar perturbações térmicas. Investigamos os diversos protocolos de construção de modelos de rede para proteínas encontrados na literatura, e utilizamos dados experimentais representativos da base SCOP para calcular com rigor os parâmetros numéricos necessários. Produzimos uma definição precisa para o conceito de contato entre resíduos de aminoácidos, e a partir desta calculamos a centralidade de cada resíduo. Com isto, demonstramos que, em um conjunto de Xilanases para as quais dispomos de dados de ATD, a capacidade de difundir perturbações térmicas é fortemente correlacionada com a centralidade de proximidade de cada resíduo, fornecendo argumentos para o uso de modelos de rede para estudar a termoestabilidade de proteínas. / Proteins are typically able to mantain a functional conformation only within a narrow range of temperatures. In spite of the complex cellular homeostatic machinery, it is known that a variety of molecular phenomena can induce localized vibrational imbalances, and that the efficiency with which each protein dissipates these perturbations may be related to its tolerance of higher temperatures. The transference of thermal energy among different sections of a protein chain is, however, hard to characterize experimentally. A theoretical alternative for the investigation of these mechanisms is the use of Molecular Dynamics simulations, particularly when associated with the Anisotropic Thermal Diffusion (ATD) technique. In this work, we verify the possibility of using concepts from Network Theory to construct models for protein structures, and using those to reveal residues with significant ability to dissipate thermal perturbations. We investigate several protocols of network model construction for proteins present in the literature, and we study representative experimental data from the SCOP database to rigorously calculate the necessary parameters. We produce a precise definition for the concept of contact between amino acid residues, and from this we calculate the centrality of each residue. We then show that, in a set of Xylanases for which we have data from ATD experiments, the ability to dissipate thermal perturbations is highly correlated to the closeness centrality of each residue, providing arguments for the use of network models to study protein thermal stability.