BIOPROCESS OPTIMIZATION (Elective IV) syllabus, JNTu (2007-2008)

UNIT I: BASIC CONCEPT

Overview of experimental design in biological processes, understanding of variables in biological processes.

UNIT II: OPTIMIZATION APPROACHES

Non-statistical, statistical and numerical optimization-fundamental theory.

UNIT III: STATISTICAL OPTIMIZATION

First order and second order designs, differences in approaches, general response surface analysis.

UNIT IV: FIRST ORDER DESIGNS

Statistical experimental procedures for plckett-burman taguchi’s designs.

UNIT V: DETERMINATION OF OPTIMAL CONDITIONS

Method of Ridge analysis, Nelder-Mead simplex method, optimization of multi response biological systems.

UNIT VI: MIXTURE DESIGNS AND ANALYSIS

Simple, latis arrangement and their associated models.

UNIT VII: VARIANCE AND DESIGN

Variance minimizing design, mixed variable and multi response generalized distance function approaches for multiresponse optimization.

UNIT VIII: NON-STATISTICAL OPTIMIZATION AND EXAMPLES

Self –directing optimization, case studies with single response and multi response analysis.

BOOKS

1.B.volesky and J.votruba,Modelling optimization of fermentation processes,Elsevier,Amsterdam,1992.

2.A.I.Khruri and J.A.Cornell,Response surface – design and optimization,Newyork,1987