Page 34 - REC :: M.Tech. BioTech Curriculum and Syllabus - R2019
P. 34

Methods  of  measuring  process  variables  –Temperature  –  Flow  measurement  and  control  –  Pressure
                  measurement and control – Agitation – shaft power, rate of stirring – Foam sensing and control – Microbial
                  biomass – Measurement and control of Dissolved oxygen – Inlet and outlet gas analysis – pH measurement and
                  control.
                                                                                   Total Contact Hours   :   45

               Course Outcomes:
                   Select appropriate bioreactor configurations and operation modes based upon the nature of  bioproducts and
                
                   cell lines and other processcriteria.
                  Apply their knowledge of transport phenomena in designingfield.
                  Plan a research career or to work in the biotechnology industry with strongfoundation.
                  Design bioreactor, scale up and troubleshooting the problems inbioreactors.
                   Integrate research lab and Industry; identify problems and seek practical solutions for large scale
                
                   implementation of Biotechnology with process controlexpertise.

               Text Book(s):
                   Mansi,E.M.T.EL., Bryce,C.F.A., Demain, A.L. andAllman,A.R.,“Fermentation Microbiology and
                1
                   Biotechnology”, Taylor and Francis,2006.
                   Mann, U., “Principles of Chemical Reactors Analysis & Design: New tools for Industrial Chemical Reactor
                2
                   Operations “, Willey–VCH,2009.

               Reference Books(s) / Web links:
                   Impre, J.F.M.V., Vanrolleghem, P.A. and Iserentant, D.M., “Advanced Instrumentation, Data Interpretation
                1
                   and Control of Biotechnological Processes”, Kluwer Academic Publishers,2010.
                                                                              nd
                2   Shuler, M.L. and Kargi, F., “Bioprocess Engineering: Basic Concepts”, 2  Edition, Prentice Hall, 2001.
                   Towler, G. and Sinnott, R., “Chemical Engineering Design: Principles, Practice, Economics of Plant and
                3
                   Process Design”, Butterworth – Heinemann ltd., Elsevier,2008.






               BY19P25               BIOPROCESS MODELING AND SIMULATION                    Category   L  T  P  C
                                                                                                      3  0  0  3

               Objectives:
                    This course aims at imparting knowledge about the different types of bioreactors and its models for non-
                
                    ideal behaviour.
                  The students will learn about the different software solution strategies for bioprocess models.

               UNIT-I     CONCEPTS AND PRINCIPLES                                                          9
                  Introduction  to  modelling  –  Systematic  approach  to  model  building  –  Material  and  energy  balance  –
                  Classification  of  models  –  General  form  of  dynamic models  dimensionless  models  –  General  form  of  linear
                  systems of equations nonlinear function – Conservation principles thermodynamic principles of process systems
               UNIT-II    MODELS                                                                           9
                  Structured kinetic models – Compartmental models (two and three) – Product formation Unstructured models
                  – Genetically  structured  models–Stochastic  model  for  thermal  sterilization  of  the  medium  –  Modelling  for
                  activated  sludge  process  –  Model  for  anaerobic  digestion  –  Models  for  lactic  fermentation  and  antibiotic
                  production

               UNIT-III   MODELLINGOFBIOREACTORS                                                           9
                  Modelling of non-ideal behaviour in Bioreactors – Tanks-in-series and Dispersion models – Modelling of PFR
                  and other first order processes – Analysis of packed bed and membrane bioreactors  Recombinant Cell  Culture
                  Processes – Plasmid stability in recombinant Cell Culture limits toover-expression
   29   30   31   32   33   34   35   36   37   38