THREE-DIMENSIONAL MODELING

Course objectives

Students know and understand (knowledge acquired): - The problems related to the design and control of plants of interest to industrial biotechnologies, and how these problems can be solved by applying mathematical models. - The interaction between the different mechanisms (cellular metabolism, transport, reactions in solution) that govern the dynamics of process systems based on the application of microbial communities - the basic elements of the procedures that can be followed for the formulation of first principles mathematical models of industrial biochemical processes; - the basic elements of the procedures that can be adopted for the validation of mathematical models of process systems. - how a mathematical model can be used to optimize and control processes based on the application of microbial communities. B – Application capabilities Students will be able to: - Develop, through the application of the first principles of conservation, mathematical models with lumped parameters of process systems based on the application of communities of microorganisms. - Plan experiments and use the experimental data obtained for the identification of models of process systems. - Evaluate, through analysis of the formulated mathematical models, how the dynamics of a process system changes as the operating and design parameters vary. - Use mathematical models for choosing the operating and design parameters of a process system. C – Making judgments - Be able to formulate own evaluation and/or judgment based on the interpretation of the information available in the context of the analysis and control of biochemical processes. - Be able to identify and collect additional information to achieve greater awareness. - Have the ability to know how, to know how to take initiatives and decisions taking into account the various aspects of interest in the analysis and control of processes of interest in industrial biotechnologies. D – Communication skills - Qualitatively describe the methodologies that can be adopted to verify the validity, through experimental data analysis, of mathematical models of process systems. - Knowing how to qualitatively illustrate the different mechanisms that govern the dynamics of biochemical processes based on the application of communities of microorganisms. - being able to explain to non-experts the basic notions of development methodologies, the principles and the application possibilities of mathematical process models; E – Ability to learn - Have the learning skills that are necessary for continuous updating in the development of industrial biochemical processes. - Update or expand their knowledge by using, autonomously, texts, scientific articles, and by consulting the main databases available on the web.

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PIETRO ALTIMARI Lecturers' profile

Program - Frequency - Exams

Course program
The course includes 52 hours of class teaching. Microbial growth models (18 h) Approximations introduced to describe microbial growth (segregated and structured kinetic models); Approximations introduced to describe the dynamics of bioreactors: analysis of characteristic lengths and times; Ideal reactors; Kinetic models describing the balanced cellular growth in absence of nutrient limitation; Monod kinetic growth; deviations from Monod kinetic model; scale-up analysis; Enzyme kinetics (10 h) Enzyme characteristics; Michelis-Menten kinetic model; Enzyme kinetics in presence of two substrates; Enzyme kinetics in presence of a cofactor; Enzyme kinetics in presence of substrate inhibition; Enzyme kinetics in presence of inhibitors; Competitive inhibition; Partially competitive inhibition; Uncompetitive inhibition; Partially uncompetitive inhibition; Enzyme inactivation kinetics; Kinetics of enzyme catalyzed reactions in heterogeneous systems; Biosorption (8 h) Heavy metal pollution; Conventional decontamination techniques; biosorption and biosorption materials; biosorption mechanisms; operating variables influencing biosorption; reactor configurations for biosorption processes; biosorption equilibrium models; Langmuir model for single component; Extension of the Langmuir model to multi-component systems; Mechanicistic equilibrium model; Potentiometric titration; Microalgae (6 h) Industrial applications of microalgae; Microalgae metabolism; Photoautotrophic cultivation; photobioreactor design principles; heterotrophic and mixotrophic growth;
Prerequisites
The Microbial, Industrial and Environmental Biotechnologies course is given during the first semester of the first year and is, therefore, included among the basic courses. Preparatory knowledge on Biological Industrial Processes is considered to facilitate the acquisition of the illustrated methodologies, but it is not mandatory.
Books
At the beginning of the course the complete set of the slides used is available; the coordinates are provided to find out the on-line material in the form of reviews and/or specific publications in the literature. Suggested books: Wei-Shou Hu, Engineering Principles in Biotechnology, Wiley, 2017 J.E. Bailey, D.F. Ollis, Biochemical Engineering Fundamentals, McGraw-Hill,1986
Frequency
In presence
Exam mode
The exam is aimed at verifying the level of knowledge of the topics of the program and the ability of the students to constructively apply the acquired knowledge. The evaluation is reported in thirtieths (minimum grade 18/30, maximum mark 30/30 with honors). The evaluation is based on an individual oral exam. The exam allows verifying the achievement of the objectives in terms of knowledge and skills acquired as well as communication capabilities. The test also evaluates the property of language, the clarity of exposition and the critical ability to face biotechnological problems. The final grade results from the average between the marks obtained in the two modules of the course.
Lesson mode
The course includes theoretical lectures. The lectures are given twice a week through the use of power-point slides or a dashboard.
  • Academic year2025/2026
  • CourseBiotechnology and Genomic for Industry and Environment
  • CurriculumSingle curriculum
  • Year1st year
  • Semester1st semester
  • SSDING-IND/26
  • CFU6