While there is continuing interest in bioresorbable materials for orthopedic fixation devices, the major challenge in utilizing these materials in load-bearing applications is creating materials sufficiently stiff and strong to sustain loads throughout healing while maintaining fracture stability. The primary aim of this study is to quantify the degradation rate of a bioresorbable material system, then use this degradation rate to determine the material response of an orthopedic device made of the same material as healing progresses. The present research focuses on the development and characterization of a material system consisting of carbon foam infiltrated with hydroxyapatite (HA) reinforced poly(D,L-lactide)-co-poly(glycolide) (PDLGA). A processing technique is developed to infiltrate carbon foam with HA/PDLGA and material morphology is investigated. Additionally, short-term rat osteoblast cell studies are undertaken to establish a starting point for material biocompatibility. Degradation experiments are conducted to elicit the time-dependent properties of the material system at the material scale. These properties are then incorporated into computational models of an internal plate attached to a fractured human femur to design and predict the material response to applied physiological loads. Results from this work demonstrate the importance of material dissolution rate as well as material strength when designing internal fixation plates.

While there is continuing interest in bioresorbable materials for orthopedic fixation devices, the major challenge in utilizing these materials in load-bearing applications is creating materials sufficiently stiff and strong to sustain loads throughout healing while maintaining fracture stability. The primary aim of this study is to quantify the degradation rate of a bioresorbable material system, then use this degradation rate to determine the material response of an orthopedic device made of the same material as healing progresses. The present research focuses on the development and characterization of a material system consisting of carbon foam infiltrated with hydroxyapatite (HA) reinforced poly(D,L-lactide)-co-poly(glycolide) (PDLGA). A processing technique is developed to infiltrate carbon foam with HA/PDLGA and material morphology is investigated. Additionally, short-term rat osteoblast cell studies are undertaken to establish a starting point for material biocompatibility. Degradation experiments are conducted to elicit the time-dependent properties of the material system at the material scale. These properties are then incorporated into computational models of an internal plate attached to a fractured human femur to design and predict the material response to applied physiological loads. Results from this work demonstrate the importance of material dissolution rate as well as material strength when designing internal fixation plates.

Orientadora: Profa. Dra. Sônia Maria Malmonge / Dissertação (mestrado) - Universidade Federal do ABC, Programa de Pós-Graduação em Engenharia Biomédica, 2014.

Nous étudions l'utilisation de l'électronique organique à l'interface du tissu nerveux pour des applications in vitro et in vivo. Le principal objectif est la fabrication d’interfaces neuronales flexibles pour enregistrer l'activité électrophysiologique de cellules neuronales sur de longues durées. À cette fin, nous utilisons du parylène-C comme substrat et le polymère conducteur poly(3,4-éthylène dioxythiophène):poly(styrène sulfonate) pour réduire l'impédance de l'interface cellule/électrode. En utilisant nos matrices de microélectrodes, nous montrons comment améliorer le rendement d'enregistrement avec un modèle 3D in vitro. La formation de clusters cellulaires 3D augmente considérablement le nombre d’enregistrements de potentiels d’action unitaires. In vivo, nous démontrons la fabrication de sondes de support en polymères biodégradables sur nos capteurs flexibles en utilisant une combinaison de polymères alcool polyvinylique et poly(lactique-co-glycolique). Alors que notre support d’insertion en PVA fournit la rigidité nécessaire à la pénétration, le revêtement PLGA retarde la dissolution du support afin de placer précisément les capteurs à l'intérieur du cerveau. Cela nous permet d’enregistrer en profondeur et, dans les conditions idéales, de minimiser les lésions cérébrales par rapport à les sondes traditionnelles rigides. Dans l'ensemble, nous avons réussi à effectuer des enregistrements électrophysiologiques avec nos propres microélectrodes et sondes invasives, améliorant le rendement d'enregistrements in vitro et démontrant que nos support d’insertion biodégradables pénètrent le cerveau. Ces résultats annoncent de prometteuses applications médicales futures. / Neural interfaces are designed to unravel the mysteries of the brain and to restore the functions of paralyzed patients. Despite the success of traditional neural interfaces, these rigid devices are prone to failure within months after surgery. Mechanical mismatch with the soft neural tissue is believed to be one of the main causes. In this thesis, we studied the use of soft organic electronics to interface with neural tissue for both in vitro and in vivo applications. Parylene-based microelectrode arrays (MEAs) and depth probes were made, employing the conducting polymer poly(3,4-ethylene dioxythiophene):poly(styrene sulfonate) (PEDOT:PSS) to reduce the impedance at the cell-electrode interface. In vitro, we thereby showed how to enhance the recording yield of MEAs by creating a three-dimensional model of neurospheres. We further report on the fabrication of a new biodegradable polymer shuttle for flexible depth probes based on the combination of poly(vinyl alcohol) (PVA) and poly(lactic-co-glycolic) (PLGA). In vivo, the PVA/PLGA- shuttled probes were acutely tested in mice and revealed promising electrophysiological results. More research remains necessary to evaluate its long-term function in vivo. In conclusion, our results demonstrate that bioresorbable polymers are capable of providing the required stiffness to penetrate the brain, which shows much promise for future neural applications. This work thereby shows that a long-term functional neural interface is not far from being developed.