Page 8 - REC :: M.Tech. BioTech Curriculum and Syllabus - R2019
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sterilization  –  Types  of  culture  medium  –  Oxygen  requirements  of  industrial  fermentation  –  Mass
                  transfer in fermentation – Determination of KLa values – Factors affecting KLa values in fermentation.
               UNIT-II    INDUSTRIALFERMENTATIONPROCESSES                                                  9
                  Aerobic and anaerobic fermentations  – Development of inocula for industrial fermentation  – Batch
                  culture,  continuous  culture,  fed  batch  culture  –  Comparison  of  batch  and  continuous  culture  –
                  Submerged and solid state fermentation for the production of enzymes – Immobilization of enzymes –
                  Biocatalysis in organic media using enzymes – Biotransformation with crude enzymes and wholecells.
               UNIT-III   PRODUCTION OF ENZYMESANDMETABOLITES                                              9
                  Production  of  Proteases,  Cellulases,  Lipase,  Amylase,  Glucose  isomerase,  Pectinase,  Peroxidase  –
                  Production  of  organic  acids  (Citric  acid,  Lactic  acid)  –  Production  of  antibiotics  (Penicillin,
                  streptomycin)  –  Production  of  vitamins  (Vitamin  B12,  Riboflavin)  –  production  of  amino  acids
                  (Glutamic acid, Lysine).
               UNIT-IV    ENZYMEKINETICS                                                                   9
                  Overview  of  enzyme  and  its  action  –  Time  course  of  enzymatic  reactions  –  Effects  of  substrate
                  concentration  on  velocity  – Steady state  model  of  enzyme  kinetics  – Significance of kcatandKm –
                  Experimental Measurement of  kcatandKm – Linear transformations of enzyme  kinetic data  – Bi Bi
                  reaction mechanisms – Modes of reversible inhibition.
               UNIT-V     APPLICATIONSOFENZYMES                                                            9
                     Enzymes  in  organic  synthesis  –  Enzymes  as  biosensors  –  Enzymes  forfood,  pharmaceutical,
                     tannery, textile, paper and pulp industries applications – Enzyme for environmental applications –
                     Enzymes for analytical and diagnostic applications – Enzymes for molecular biology research.
                                                                                   Total Contact Hours   :   45

               Course Outcomes:
                  Fundamentals and important parameters in fermentationprocesses
                  Industrial fermentation process for enzymeproduction
                  Industrially important enzymes and their use in producing biologicalmetabolites
                  Enzymekinetics
                  Applications of enzymes as biosensors and in other varied industrialapplications

               Text Book(s):
                   Buchholz, K., Kasche, V. and Bornscheuer, U., “Biocatalysts and Enzyme Technology”, WILEY– VCH,
                1
                   2005.
                   Mansi, E.M.T.EL., Bryce, C.F.A., Demain, A.L. and Allman, A.R., “Fermentation Microbiology and
                2
                   Biotechnology”, Taylor and Francis,2006.

               Reference Books(s) / Web links:
                1   Copeland, R. A., “Enzymes”, 2 nd Edition, WILEY–VCH,2008.
                2   Najafpour, G.D., “Biochemical Engineering & Biotechnology”, Elsevier,2007.
                3   McNeil, B., Harvey, L., “Practical Fermentation Technology”, John Wiley & Sons,2008.



               BY19103                 BIOINFORMATICS AND APPLICATIONS                     Category   L  T  P  C
                                                                                                      3  0  0  3

               Objectives:
                  To develop skill in Perl Programming and Linux commands.
                  To provide knowledge on DBMS and different Biological Databases.
                  To develop data analysis/visualisation skill with basic knowledge of data analysis
                  To understand different algorithms of Sequence Alignment/Structural Bioinformatics
                  To understand different statistical methods and application in Biology.
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