Skip to Main content Skip to Navigation
Journal articles

On the Interaction between a Nanoparticulate System and the Human Body in Body Area Nanonetworks

Abstract : In this work, we investigate the interaction of a nanoparticulate system for nanomedicine applications with the biological environment, i.e., the human body. Following the molecular communication paradigm, we assess how our nanoparticulate system model is suitable for coexistence in a biological environment. Specifically, we assume the presence of the human immune system that can affect the optimal behavior of nanoparticles, aiming to locally deliver drug inside the human body. When a flow of nanoparticles is injected into the blood, the interference due to the immune system can provide a strong decrease of the nanoparticle concentration, by means of “humoral immunity”, the phagocytosis process, etc. As a consequence, the correct drug delivery will occur with a lower probability. Since the mechanism behind the biological immune system is very complicated, in this paper, we start from a simplistic nanoparticulate model, where the nanoparticles and the cells of the immune system are subject to the diffusion laws. Finally, we derive the end-to-end physical model of our nanoparticulate nanomedicine system with the presence of the human immune system cells. The error analysis is then investigated in terms of how these errors can affect the performance of the system, i.e., nanoparticle survival probability.
Document type :
Journal articles
Complete list of metadata

Cited literature [46 references]  Display  Hide  Download
Contributor : Valeria Loscri Connect in order to contact the contributor
Submitted on : Monday, February 1, 2016 - 11:09:10 AM
Last modification on : Monday, December 7, 2020 - 9:50:02 AM
Long-term archiving on: : Friday, November 11, 2016 - 11:02:37 PM


Files produced by the author(s)




Valeria Loscrì, Anna Maria Vegni, Giancarlo Fortino. On the Interaction between a Nanoparticulate System and the Human Body in Body Area Nanonetworks. Micromachines, MDPI, 2016, Special Issue "Sensors and Systems for Medical Applications and Personal Health Monitoring", 6 (9), pp.1213-1235. ⟨10.3390/mi6091213⟩. ⟨hal-01188280⟩



Record views


Files downloads