ECTS credits ECTS credits: 4.5
ECTS Hours Rules/Memories Student's work ECTS: 74.25 Hours of tutorials: 2.25 Expository Class: 18 Interactive Classroom: 18 Total: 112.5
Use languages Spanish, Galician
Type: Ordinary Degree Subject RD 1393/2007 - 822/2021
Departments: Chemistry Engineering
Areas: Chemical Engineering
Center Faculty of Biology
Call: First Semester
Teaching: Sin docencia (Extinguida)
Enrolment: No Matriculable
Biotechnological processes share with most biological systems the need to operate under certain conditions of pH, temperature, substrate and/or product concentration. Maintaining the desired conditions over time, despite perturbations, is the objective of bioprocess control in industry, which has its counterpart in homeostasis in biological systems. In this course, the dynamics of industrial bioprocesses and examples from microbiology and biomedicine are tackled in parallel from a practical perspective. The process simulator will be used to facilitate computer experiments and promote inductive learning, thus making it possible to skip a large part of the mathematical content covered in the process control manuals. Specifically, the aim of this course is for students to be able to:
- Solve basic problems related to process modelling and dynamics.
- Apply and characterise biosensors.
- Identify and modify different control strategies depending on the process considered.
- Identify and list the different control elements necessary to monitor the basic variables in industrial biotechnological processes.
-Distinguish the elements of valves and control systems.
The contents described in the degree syllabus are: Instrumentation: sensors, transducers and controllers; control valves: characteristics and elements; biosensors: application and integration in biotech processes; open-loop control and feedback: most common control loops; process dynamics and modelling, including problem solving and use of specific software for simulation and control. These contents are organised in the following units:
Unit 1 - Introduction
Lectures: The need for control in biotechnological processes and biological systems. The difficulties of monitoring and the usefulness of biosensors.
Computer seminar: Introduction to Matlab /Simulink for dynamic simulation.
2h Lec + 1h Comp
Unit 2 - Dynamic behaviour of bioprocesses
Lectures: Representation of dynamic models of biological processes. Simple steady state and transient systems. Analysis of the dynamic response to external changes. Delay. Stability and oscillations.
Seminar: Mathematical study of dynamic responses
Computer seminar: Dynamic simulation in Matlab/Simulink of different biotechnological processes (PHA production, S. cerevisiae and mammal cell culture) and biological systems (glucose/insuline, predator/prey in bioreactor...)
6h Lec + 2h Sem + 3h Comp
Unit 3 - Bioprocess control techniques
Lectures: Open and closed-loop control. Feedback and feedforward control. Control strategies: on/off, proportional and integral. Cascade control. The delay problem in bioprocess control. Controller tuning.
Control in biological processes: homeostasis. The Goodwin oscillator.
Seminar: Controller tuning methods.
Computer seminar: Application of control strategies to the systems studied in unit 2.
Group tutorial: Introduction to a complex system/process for simulation and control design
6h Lec + 1h Sem + 4h Comp + 1h Tut
Unit 4 - Instrumentation in bioprocesses
Lectures: Main components of the control system: sensors and actuators (pumps and valves). Monitoring of biological activity by online, in-line, at-line and offline methods. Relation to process control.
Seminar: The components of automatic blood glucose monitoring and control.
Computer seminar: Simulation of instrumentation elements and their impact on control efficiency
2h Exp + 1h Sem + 1h Comp
Unit 5 - Biosensors in control and monitoring of bioprocesses
Lectures: Biosensor elements (transducer, receptor, analyte). Definition and types of biosensors (enzymatic, microbial, immunosensors). Use in biotechnological industry processes.
Seminar: Selection of biosensors for industrial bioprocesses.
Computer seminar: Simulation of biosensors integrated in biotechnological processes.
4h Lec+ 1h Sem + 1h Comp
Basic bibliography
Dochain, D. (ed.) 2008. Bioprocess control [on line ]. 1st ed. Hoboken: Wiley. Available at: https://onlinelibrary-wiley-com.ezbusc.usc.gal/doi/pdf/10.1002/97804706…
Complementary bibliography
Gòdia, F. López, J. 2010. Ingeniería bioquímica [on line ]. Madrid: Síntesis. Available at: https://prelo.usc.eres/Record/Xebook1-478
Ingalls, B. 2012. Mathematical modeling in systems biology: an introduction. Cambridge: The MIT Press
Huusom, J.K. 2016. Control of bioprocesses. In J. Villadsen, ed. Fundamental bioengineering [on line ]. Ch. 15. Available at:
https://onlinelibrary-wiley-com.ezbusc.usc.gal/doi/book/10.1002/9783527…
Larroche, C., Sanromán, M.A La., Du, G. Pandey, La. (ed.) 2016. Current developments in biotechnology and bioengineering. Bioprocesses, bioreactors and controls [on line ]. 1st ed. Amsterdam: Elsevier. Ch. 16-26. Available at:
https://www-sciencedirect-com.ezbusc.usc.gal/book/9780444636638/current…
Sonnleitner, B. 2016. Real-time measurement and monitoring of bioprocesses. In J. Villadsen, ed. Fundamental bioengineering [on line ]. Ch. 14. Available at:
https://onlinelibrary-wiley-com.ezbusc.usc.gal/doi/book/10.1002/9783527…
Specific skills
- CE6: To be able to analyse and design biotechnological industrial processes and apply them to product improvement.
Transversal skills
- CT1: Integral thinking and problem approaching from different perspectives.
- CT2: To search, process, analyse and synthesise information from different sources.
- CT6: To reason critically
- CT7: Maintaining an ethical commitment
- CT8: Adapting to new situations (resilience)
The methodology of this course skips most of the mathematical content that characterises the teaching of process control and dynamic systems. Instead, the aim is to transmit in an intuitive and practical way how biological systems and industrial bioprocesses behave dynamically and how, on the basis of their dynamic responses, to design control and monitoring strategies.
Teaching methodology in scenario 1: adapted normality
The lectures will consist of master classes combined with short quizzes to encourage active participation.
The interactive seminar sessions will focus on students carrying out exercises to deepen the concepts seen in the lectures.
In the computer seminar sessions, Matlab/Simulink software will be used for the dynamic simulation of selected bioprocesses and biological systems. Simulation models, implemented in Simulink, will be provided by the lecturer to be used in virtual experiments, in the design and testing of controllers and in the application of monitoring strategies. The Matlab/Simulink software can be freely installed on personal computers connected to the USC network by accessing the campus licence.
The group tutorial will be dedicated to present a team work on the control design of a dynamic system that will be exposed in an expository class session. Attendance to the computer seminar and to the group tutorial is compulsory.
The Moodle application (Virtual Campus) will be used as a communication tool with the students, offering information on the teaching programme throughout the course in the classroom and complementary materials for the study of the subject (lecturer's notes and scientific-technical articles), encouraging the student's autonomous study and the use of bibliographic sources in English.
The skills to be achieved with each activity are:
Activity_____________________________________Skills
Lectures_____________________________________ CT2, CT6, CE6
Seminar___________________________ __________CT1, CT6, CT8,
Computer seminar_______________________________ CT1, CT6, CT8, CE6
Group tutorial (including team assignment) ____________ CT2, CT6, CT7
Assessment system in scenario 1: adapted normality
The student's grade is a weighted average of the performance obtained in a) the exam (mandatory) 50%, b) the team assignment (mandatory) 25%, c) handing in exercises in the computer seminars (20%) and d) active participation (exercise solving at the blackboard or orally) in lectures and seminars (5%). The final exam is complementary to the continuous assessment, which is made up of sections b), c) and d).
In order to take into account the grades obtained in sections b), c) and d) in the final grade, it will be necessary to achieve a minimum of 35% in the exam.
A student who has not taken either the exam or the team work will be considered as a No Show. In the case of failing the course at the first opportunity, the student will be re-evaluated in section a) at the second opportunity and the grades for the other sections will be maintained. Students who take the exam at the second opportunity and have not handed in the team assignment may do an individual work on a similar subject indicated by the lecturer.
In the case of fraudulent performance of any assessable activity, the "Normativa de avaliación do rendemento académico dos estudantes e de revisión das cualificacións" (Regulations for the assessment of students' academic performance and revision of qualifications) will apply.
The skills are evaluated in the following sections:
- Group tutorial (including team assignment): CT2, CT6, CT7.
- Active participation: CT1, CT2, CT8,
- Exercises in the computer seminar: CT1, CT6, CT8, CE6
- Final exam: CT6, CT8, CE6
The course has a workload equivalent to 4.5 ECTS which are distributed as shown in the table. The total workload is 112.5 hours, which means that each ECTS represents 25 hours of work for the student.
Distribution of the activities in hours of work.
Activity__________________Classroom work____________Personal work
Lectures ___________20__________________34
Seminars___________________5___________________10
Computer seminars_______________12 _________________15
Group tutorials________________1,0___________________6
One-to-one tutorials______0,5___________________2
Exam and revision_____________2___________________5.
TOTAL___________________40,5____________________72
Attendance and active participation in the classroom and use of the Virtual Campus (Moodle environment) is recommended to follow the content of the subject and to facilitate communication between teacher and students.
The course language will be Galician, but English bibliography will be used for assignments.
CONTINGENCY PLAN
TEACHING METHODOLOGY
Scenario 2: Social distancing (partial restrictions to physical presence)
Synchronous lectures via MS Teams in the schedule established for the subject in the official course calendar. Use of online tests (e.g. Socrative or Kahoot application) to promote active participation.
Interactive seminar classes: face-to-face
Computer classroom classes: face-to-face
Synchronous group tutoring via MS Teams
Synchronous one-to-one tutorials via MS Teams
Scenario 3: Closing of the facilities
Synchronous lectures and interactive seminar classes via MS Teams in the schedule established for the course in the official course calendar. Use of online quizzes (e.g. Socrative or Kahoot) to promote active participation.
Computer classroom classes: synchronous via MS Teams. VPN access to Matlab/Simulink software will be requested for students' use from home.
Synchronous group tutoring via MS Teams.
Synchronous one-to-one tutorials via MS Teams
It is recommended to have a computer with a camera to be able to follow the telematic classes.
EVALUATION SYSTEM
The evaluation system will be maintained regardless of the scenario in-force during the semester. The evaluation activities will be carried out in the classroom or by telematic means, as established by the instructions of this university.
Miguel Mauricio Iglesias
Coordinador/a- Department
- Chemistry Engineering
- Area
- Chemical Engineering
- Phone
- 881816800
- miguel.mauricio [at] usc.es
- Category
- Professor: LOU (Organic Law for Universities) PhD Assistant Professor
| Monday | |||
|---|---|---|---|
| 11:00-13:00 | Grupo /CLE_01 | Galician | Computer room 1. Rosalind Franklin |
| Thursday | |||
| 16:00-17:00 | Grupo /CLIL_01 | Galician | Computer room 1. Rosalind Franklin |
| 12.22.2021 10:00-14:00 | Grupo /CLE_01 | Classroom 12.Vasili Dokucháyev |
| 06.20.2022 10:00-14:00 | Grupo /CLE_01 | Classroom 12.Vasili Dokucháyev |