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17th National Research Competition in Life and Earth Sciences
Food security and biotechnology
Research Centre or Institution : Facultad de Física. Universidad de Santiago de Compostela
This project will involve the development of new synthetic strategies which employ miocroemulsions to obtain biocompatible templates, an essential characteristic which every system must comply with when it interacts with biological systems for the regeneration of bone tissue. For this purpose, firstly the system to initiate the mineralisation of the proteins will be designed. Subsequently, we will focus on the development of protein-based nanofibrous materials, as a basis for the self-assembling structures of these components. We will then focus on analysis of the systems' biocompatibility. Assuming that the more the structural and functional characteristics of a system adapt to the demands of a certain application, the better the final outcome will be, we will use microemulsions, given that they will enable us to set the parameters of the mineralisation process. Time and resources will be optimised by combining experimental techniques and computation. We will initially proceed with the creation of extensive databases which will be analysed using statistical and biocomputing tools. These databases will contain the highest possible number of entries of both molecular components of different architectures and external agents (temperature, pH, elasticity and concentration). We can thus determine which components are more appropriate for our needs. Once the systems and conditions which are the most likely to succeed have been selected, we will produce the materials which will be classified experimentally and computationally. For the experimental part we will make use of several techniques: TEM, SEM, FT-IR, x-ray diffraction and neutron diffraction. Due to the importance of the mineralisation processes imaging analysis, we will develop software for the visualisation and analysis of electron microscopy images. All these IT and experimental resources will be processed synergistically and systematically, resulting in a periodical feedback process for continuous optimisation.
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