Prospective Usage of the Internet of Bio-Nano Things For The Very Anticipated Detection of Charged Giants Proteins in Type-2 Diabetes Patients: Stopping the Progress of Diabetic Nephropathy with Nanomedicine

Published in: Innovation in Education and Inclusion : Proceedings of the 16th LACCEI International Multi-Conference for Engineering, Education and Technology
Date of Conference: July 18-20, 2018
Location of Conference: Lima, Perú
Authors: Huber Nieto-Chaupis (Universidad de Ciencias y Humanidades, PE)
Full Paper: #403

Abstract:

A natural upgrade of the Internet of Things (IoT) and the Internet of Nano-Things (IoNT) is the so-called Internet of Bio-Nano Things by the which the organs of the human body would be part of a communication’s network and emitting signals continuously. In this paper we have paid attention to the prospective scheme of surveillance that aims to measure the charged bunches of proteins which are fluxing through the renal glomerulus. We propose the idea that these bunches of albumin might have anomalous displacements out the glomerulus due to the presence of dipoles of glucose. Our theoretical formulation consists essentially in a physics model. Under this view, the electrodynamics of albumin is governed by repulsive and attractive forces that pushes out theses proteins to the spaces of urine formation. For this end, we apply electrodynamics to calculate the electric potential and fields. All these processes might be seen as the very beginning of the well-known diabetes kidney disease. Under the assumption that the presence of a nanodevice contains capabilities for sensing the bunches of albumin, we estimated the efficiencies of charge detection using the Monte Carlo method. We present simulations about the possible tracks of albumin after of their interaction with others charged negatively cells like podocytes. The present analysis has considered others charged proteins which would play the role of noise or background. This methodology is embedded in the framework of the IoBNT and the respective quality of service is estimated as well.