
Basic Bioprocesses Engineering
Code: 100960Credits: 6
| Degree programme | Type | Course |
|---|---|---|
| Biotechnology | OB | 2 |
Contact lecturer
- Name :
- Antoni Sanchez Ferrer
- Email :
- antoni.sanchez@uab.cat
Teaching staff
- Antonio Javier Moral Vico
Group languages
You can consult this information at the end of the document.
Prerequisites
There are no incompatibilities.
Objectives
The general objective of this course is to learn the principles that govern the biotechnological processes carried out at full-scale.
Specific objectives include:
1. Perform the balances of energy and mass involved in these processes.
2. Use the phenomena of heat and mass transport associated with these processes.
3. Interpret the flow diagrams in which these processes are represented.
4. Use properly the units used in mathematical expressions.
Learning outcomes
- CM19 (Calculate the material and energy balances in bioindustrial processes.) Calculate the material and energy balances in bioindustrial processes.
- KM19 (Define the units, variables and characteristics of the phenomena of matter and energy transport.) Define the units, variables and characteristics of the phenomena of matter and energy transport.
- KM20 (Define the diversity of separation processes at various scales in bioprocess engineering.) Define the diversity of separation processes at various scales in bioprocess engineering.
- SM19 (Use a bioreactor appropriately.) Use a bioreactor appropriately.
Contents
1. Introduction.
1.1. Units systems
1.2. The international system of units
1.3. Numerical methods
1.3.1. Search zeros in nonlinear equations
1.3.2. Differential equations
1.3.3. Numerical integration
1.3.4. Numerical derivation
1.3.5. Interpolation and adjust
2. Mass balance without chemical reaction
2.1. General systems. Simple cases
2.2. Calculation basis. Complex systems
2.3. Non steady state
3. Systems with chemical reaction
3.1. Concept of conversion and yield
3.2. Isothermal chemical reactors
4. Energy balance
4.1. Global Balance
4.2. Heat energy
4.3. Energy in chemical reactors
5. Transport phenomena
5.1. Bases
5.2. Transport coefficients
*Unless the requirements enforced by the health authorities demand a prioritization or reduction of these contents.
Learning activities and methodology
| Title | Hours | ECTS | Learning outcomes |
|---|---|---|---|
| Type: Direct | 1 | 0.04 | |
| Type: Autonomous | 66 | 2.64 | |
| Type: Direct | 30 | 1.2 | |
| Type: Autonomous | 30 | 1.2 | |
| Type: Supervised | 15 | 0.6 |
Methodology combining different activities:
Classes of theory: it is a master class taught by the theory teacher who, in some cases, has audiovisual support that is available in the Virtual Campus of the course. In classrooms, it is possible to propose practical examples.
Classes of problems: that will focus on lesson problems that are presented in the Virtual Campus of the course, with different grades of complexity. The problem-solving classes will consider a limited number of problems. Apart from these problems, other ones are at the disposition of the students to do them autonomously. Also, blocks of more problems are at teacher's disposition and in the bibliography of the course.
It is important to note that some of the problems require a numerical resolution that exceeds the ability of the students. For this reason, in Theme 1 is presented a software to help the student to solve them. The software is presented in a specific session.
Theory classes are done in a single group, whereas the classes of problems are divided into two groups (A and B). The student has to consult in which group is included.
Assessment
Continuous assessment activities
| Title | Weight | Hours | ECTS | Learning outcomes |
|---|---|---|---|---|
| Activity 3 | 25% | 2 | 0.08 | CM19, KM20 |
| Activity 4 | 25% | 2 | 0.08 | CM19, SM19 |
| Deliverables | 25% | 2 | 0.08 | KM19 |
| Activity 4 | 25% | 2 | 0.08 | SM19 |
Use of Artificial Intelligence (AI):
For this course, the use of Artificial Intelligence (AI) technologies is permitted exclusively in support tasks, such as bibliographic or information searches, text correction or translations, and the resolution of complex mathematical systems in evaluable activities or in the resolution of class problems. The student must clearly identify which parts have been generated with this technology, specify the tools used, and include a critical reflection on how these have influenced the process and the final result of the activity. The lack of transparency in the use of AI in this evaluable activity will be considered a lack of academic honesty and may lead to a partial or total penalty in the qualification of the activity, or greater sanctions in serious cases.
The commission of any irregularity in an assessment act (academic fraud, plagiarism or improper use of AI, unless this use is expressly authorized in this teaching guide), which may lead to a significant variation in the qualification, means that this act will be graded with a 0. In the event that the teaching guide provides that in order to pass the course it is an essential requirement to have obtained a minimum qualification in the evaluation or that several irregularities occur in the evaluation acts of the same course, the final grade for this subject is 0. Apart from this, a disciplinary process may be initiated against the student who incurs any of these irregularities.
Evaluation:
The evaluation system is based on a continuous assessment that combines different activities:
Continuous assessment activities: 100%
• Activity 1 (Test Unit 1): 25%
• Activity 2 (Test Unit 2): 25%
• Activity 3 (Test Unit 3): 25%
• Activity 4 (Test Unit 4): 25%
To pass the course will take a minimum of five as the average grade of the continuous evaluation. All activities must have been evaluated. Students who do not attend an activity will be evaluated with a 0 in that activity.
Students that do less than 3 activities will not be evaluated. Students who fail the course with continuous assessment can make a final examination, including any part of the course and calculated in 100%.
Students who wish to increase qualification can also do this final examination. In this case, the qualification of the continuous assessment will not be considered. The minimum grade to pass the final exam is again 5.
Without prejudice to other disciplinary action deemed appropriate and in accordance with the academic regulations in force, it will qualify with a zero irregularities committed by the student that may lead to a change in the qualification of an act of evaluation. Therefore, to copy any assessment activity will imply not to pass the course.
This course does not include unique evaluation system.
Bibliography
Llibres
- Díaz Fernández, Mario. (2012). Ingeniería de bioprocesos. Paraninfo Díaz
Disponible en paper a la biblioteca
- Doran, Pauline M. (2025). Bioprocess engineering principles. (3rd ed.) Academic Press Dora
Disponible en paper a la biblioteca
- Doran, Pauline M. (2013). Bioprocess engineering principles. (2nd ed.) Elsevier Dora
Disponible en línia
- Doran, Pauline M. (1998). Principios de ingeniería de los bioprocesos. Acribia Dora
Disponible en paper a la biblioteca
- Felder, Richard M. & Bullard, Lisa G. & Rousseau, Ronald W. (2017). Felder's elementary Feld
principles of chemical processes. (Global ed.) John Wiley & Sons
Disponible en paper a la biblioteca
- Felder, Richard M. & Rousseau, Ronald W. (2003). Principios elementales de los procesos Feld
químicos. (3ª ed.) Limusa Wiley
Disponible en paper a la biblioteca
- Himmelblau, David Mautner. (1997). Principios básicos y cálculos en ingeniería química. Him
(6ª ed.) Prentice-Hall Hispanoamericana
Disponible en paper a la biblioteca
- Himmelblau, David Mautner & Riggs James B. (2024). Basic Principles and Calculations in Him
Chemical Engineering, Global Edition. (9th ed.) Pearson Education Limited
Disponible en línia
- Himmelblau, David Mautner & Riggs James B. (2023). Basic principles and calculations in Him
chemical engineering. (9th ed.) Pearson
Disponible en paper a la biblioteca
- Southard, Marylee Z. & Green, Don W. (2019). Perry's chemical engineers' handbook. (9th Sout
ed.) McGraw Hill
Disponible en paper a la biblioteca
Software
THe student should use some software for the resolution of numerical problems.
Course groups and languages
The information provided is provisional until November 30. After this date, you will be able to consult the language of each group through this link. To access the information, you will need to enter the course CODE
| Type of teaching | Group | Language | Semester | Shift |
|---|---|---|---|---|
| (TE) Theory | 42 | Catalan | first semester | afternoon |
| (PAUL) Classroom practices | 421 | Catalan | first semester | afternoon |
| (SEM) Seminars | 421 | Catalan | first semester | morning-mixed |
| (PAUL) Classroom practices | 422 | Catalan | first semester | afternoon |
| (SEM) Seminars | 422 | Catalan | first semester | morning-mixed |
| (SEM) Seminars | 423 | Catalan | first semester | morning-mixed |
| (SEM) Seminars | 424 | Catalan | first semester | morning-mixed |