Designing of bioreactors is a very complex process and requires the clear understanding of the biological phenomena occurring during the process and the development of best suitable reactor for bringing out the product in an economically viable, large scale form. The conventional techniques currently in uses are very time consuming and some of their steps may even be based on trial and error format. Therefore there is a need to look towards advanced techniques in the designing of these bioreactors. One such technique is to use computational modeling in the design and simulation of reactors. For this purpose software such as MATLAB are ideal as they can be used to study various factors such as transport phenomena, reaction kinetics, derivation of complex kinetic equations, design of the bioreactor and its simulation. These systems can also be combined with software for computational fluid dynamics, etc. The other technique in place is use of mathematical modeling of reactions. Several mathematical modeling techniques that have been in use for this purpose in recent times are narmax model, wavelet model (with bootstrap), neural networks and the latest one being fuzzy logic.The use of these techniques makes it very easy and cost effective to design reactors for specific needs and in cases where similar production procedures do not exist. This can reduce the time taken in the development of reactors.
KEYWORDS: Bioreactor designing, reaction kinetics, transport phenomena, reactor simulation, computational modeling, MATLAB, narmax model, wavelet model, neural networks, fuzzy logic.
Bioreactors are one of the most important parts of technological production system. The choosing proper reactor and setting optimal parameters of its work are crucial for optimum results during production. The complexity of the bioreactor lies in the number of input parameters that exist in these cases when compared to their simpler chemical counterparts. Conventional reaction engineering techniques that are basically designed for chemical reactor design therefore cannot handle such enormous input multiplicity both at the level of reactor designing as well as in the process control designing. Therefore there exists a need to take help of mathematical modeling in the design of bioreactors. With various software’s now available for mathematical modeling it has become quite easy to apply these modeling techniques with ease even though the designer has no much previous familiarity with those modeling techniques.
MATHEMATICAL MODELLING THROUGH MATLAB
MATLAB® is a high-performance language for technical computing. It integrates computation, visualization, and programming in an easy-to-use environment where problems and solutions are expressed in familiar mathematical notation. Typical uses include Math and computation Algorithm development Data acquisition Modeling, simulation, and prototyping Data analysis, exploration, and visualization Scientific and engineering graphics Application development, including graphical user interface building. MATLAB is an interactive system whose basic data element is an array that does not require dimensioning. This allows you to solve many technical computing problems, especially those with matrix and vector formulations, in a fraction of the time it would take to write a program in a scalar non-interactive language such as C or FORTRAN. The name MATLAB stands for matrix laboratory. MATLAB was originally written to provide easy access to matrix software developed by the LINPACK and EISPACK projects. Today, MATLAB engines incorporate the LAPACK and BLAS libraries, embedding the state of the art in software for matrix computation. MATLAB has evolved over a period of years with input from many users. In university environments, it is the standard instructional tool for introductory and...