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fbtwitterlinkedinvimeoflicker grey 14rssslideshare1
Types: Doctoral thesis
Subjects:
Introduction General concepts involved in the scope of this PhD Thesis are briefly presented. Part I: Bioinspired iron oxide mineralization Using single amino acids may be thought an over-simplification of larger proteins or peptides. However, their use as model system already enables the understanding of some crystalline phase selection processes. Some general rules about iron oxide biomineralization in the presence of amino acids and thus, as an extension, in the presence of proteins are drawn out of this study. Part II: Small self assembling peptides and the transcription of their chiral information into inorganic materials Small self assembling peptides can be tuned to self assemble in organogels. The 3D organogel self-organization scheme can be transcribed into inorganic materials using processes involving metal alkoxide (sol-gel) technologies. The peptide synthesis and the selfassembling motives, material synthesis (silica and anatase based materials) and characterization are described in this part. Part III: Using organogels to synthetize nanoparticles and to orient them on a peptide fiber Organogels prepared from two chemically and structurally similar peptides can be mixed to prepare a homogenous 3D network which will present on its surface complexing properties depending on the structure of the peptides chosen. This scaffold could be used to organize nanoparticles or to prepare silver-based nanostructures. Peptides involved, their self assembling schemes, the structures created and rationalization of this approach will be presented in this part. Part IV: Using small self assembling peptides to create new porous materials The preparation of metal-organic frameworks using a slightly modified version of the model peptide which was used througout the PhD Thesis is possible. We present here the synthesis and spectroscopic and crystallographic characterization of the materials obtained. Conclusions In this section the achievements realized during the PhD will be discussed. Some new tracks to further exploit these systems will also be introduced.
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