Biochemical Engineering

NAME OF THE COURSE Biochemical Engineering

Code

KTM104

Year of study

1.

Course teacher

Prof Sandra Svilović

Credits (ECTS)

6.0

Associate teachers

Type of instruction (number of hours)

P S V T

30

15

15

0

Status of the course

Mandatory

Percentage of application of e-learning

0 %

COURSE DESCRIPTION

Course objectives

Mastering the engineering principles in chemistry, biochemistry and food technology

Course enrolment requirements and entry competences required for the course

 

Learning outcomes expected at the level of the course (4 to 10 learning outcomes)

After completing the course, the student will be able to:
- differentiate homogenous and heterogeneous reaction kinetics
- describe various types of reactors and bioreactors
- differentiate chemical processes and bioprocesses
- perceive basis of biseparation
- define particularities of mixing and aeration in bioprocesses
- describe basic measurment instruments

Course content broken down in detail by weekly class schedule (syllabus)

1st week: Similarity and differences between reaction engineering and biochemical engineering; reactor and bioreactor
2nd week: Kinetics of homogenous and heterogeneous chemical reactions
3rd week: Kinetics of homogenous and heterogeneous chemical reactions-numerical problems.
4th week: Models for ideal reactors
5th week:. Ideal reactors--numerical problems
6th week: Substrate preparation. Sterilization
7th week: Biocatalysts. Immobilized biocatalysts. Features of engineering enzymatic processes.
8th week: Enzyme kinetics – numerical problems (Partial knowledge test)
9th week: Featuresures of engineering fermentation processes Bioreactors
10th week: Bioreactors for microbial cell culture. Bioreactors for plant and animal cell and tissue culture. Enzyme bioreactors.
11th week: Bioreactors evaluation and ratings
12th week: Transport phenomena in bioprocess systems
13th week: Aeration. Mixing in bioprocess systems
14th week: Separations in biotechnology
15th week: Bioprocess control (Partial knowledge test)
Exercises: Aeration. Determination of diffusion coefficient. Crystallization. Mathcad. Enzyme kinetics – Modelling dana using Mathcad (Michaelis-Menten, Lineweaver-Burk, Eadie-Hofsteed and Hanes-Woolf model).

Format of instruction:

Student responsibilities

Regular attendance and active participation at lectures, and exercises.

Screening student work (name the proportion of ECTS credits for eachactivity so that the total number of ECTS credits is equal to the ECTS value of the course):

Class attendance

0.0

Research

0.0

Practical training

0.0

Experimental work

0.5

Report

0.0