In-body Network Biomedical Applications: from Modeling to Experimentation

Abstract : —Innovative diagnostic approaches and therapies are more and more based on the use of injections or oral delivery of nanoparticle sized substances. For a better understanding of the overall phenomena, aiming to facilitate a safe application at large scale, the development of accurate models and analysis techniques are required. These techniques take into consideration different aspects of the overall process: accurate numerical modeling of the different phases of the nanoparticles in the body, and knowledge of the local environment , that can be varying very fast within a short-range in the body itself. Such aspects should be taken into account to correctly predict the amount of drug and its timely release for the specific disease. Deep and accurate analysis of the interaction between the nanoparticles and the biological fluid where the nanoparticles are immersed is mandatory for an efficient correlation of all these aspects. Because of their biocompatibility, in this paper, we focus our attention on systems of Titanium (Ti), and its oxide (e.g., TiO2), given their specific features in terms of density, lack of cytotoxic effects, etc. Specifically, we present the study and design of an in-body system by characterizing each of the emission, diffusion, and reception processes with a proper realistic model. The theoretical investigation is further supported by experimental study of the morphology and other important characteristics (e.g., the pH of the particles, and thermal stability) of TiO2 systems when immersed in a Ringer solution, in order to derive important information related to their potential toxicity inside the human body.
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IEEE Transactions on NanoBioscience, Institute of Electrical and Electronics Engineers, 2016, 〈10.1109/TNB.2016.2521386〉
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Valeria Loscrí, Ladislau Matekovits, Ildiko Peter, Anna Maria Vegni. In-body Network Biomedical Applications: from Modeling to Experimentation. IEEE Transactions on NanoBioscience, Institute of Electrical and Electronics Engineers, 2016, 〈10.1109/TNB.2016.2521386〉. 〈hal-01262020〉

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