Micro cell culture analog apparatus (μCCA) output prediction using microcontroller system based on a Artificial neural network

Abstract

This paper presents a framework for the prediction of naphthalene concentrations in the liver and lung compartments of a micro cell culture analog apparatus (μCCA) using a microcontroller system based on an Artificial Neural Network (ANN). The system can be used to simulate organ and circulatory system reactions in terms of residual naphthalene concentrations before conducting experiments on a μCCA. The system is implemented as follows: a keypad which is used to input the quantities of inhaled air (naphthalene), a microcontroller for processing and data prediction, a LCD to display the predicted values. The ANN, previously trained in MATLAB, was transferred to the microcontroller in order to obtain predicted naphthalene concentrations in the liver and lungs. The complete framework is described with guides for future work.