NAME OF THE COURSE |
Biochemical Engineering |
Code |
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Course teacher |
Prof Sandra Svilović |
Credits (ECTS) |
6.0 |
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Associate teachers |
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Type of instruction (number of hours) |
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Status of the course |
Mandatory |
Percentage of application of e-learning |
0 % |
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COURSE DESCRIPTION |
Course objectives |
Mastering the engineering principles in chemistry, biochemistry and food technology |
Course enrolment requirements and entry competences required for the course |
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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: |
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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 |
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