| Code |
12869
|
| Year |
1
|
| Semester |
S2
|
| ECTS Credits |
6
|
| Workload |
OT(30H)/PL(30H)
|
| Scientific area |
Bioengenharia
|
|
Entry requirements |
There are no prerequisites in the Bioprocess Design Curricular Unit.
|
|
Mode of delivery |
Tutorial system where it will be evaluated the formal exhibition of theoretical fundaments and methodologies in the response to problems. Some relevant papers to the Curricular Unit will be proposed to be studied individually. Also, will be proposed dimensioning examples in an industrial platform perspective, for potential implementation of bioreactors, chromatographic columns and other unitary methods. At this stage, creative and integrative development of students will be invoked.
|
|
Work placements |
Not applicable
|
|
Learning outcomes |
- Identify and describe the fundamental principles that define bioprocesses.
- Understand the sustainable and global integration of a bioprocess.
- Understand the selection of the calculation basis.
- Model the optimization and validation of biological systems using DOE and MATLAB.
- Identify and apply the main experimental design tools in the upstream and downstream stages of a biotechnological process.
The student should acquire the following skills:
- Knowledge of modeling in biotechnology and use it in the formulation and discussion of problems.
- Professional skills, namely: reasoning, hypothesis formulation, systemic, creative and critical thinking, in order to manipulate programming in DOE.
- Knowledge of the design and development phases of bioprocesses.
|
|
Syllabus |
OT: 1- The classic structure of a biotechnological process: upstream, downstream, and final polishing.
2- Scale-up of fermenters focusing on classic inputs (pH, temperature, culture medium, aeration, and mass transfer coefficient (KLa), among others) and sizing to maximize the target output using a factorial design.
3- Scale-up of the downstream stage: understanding the main target parameters and challenges associated with bioseparation, as well as the objectives of modeling chromatographic processes using experimental design.
4- Bioinformatics in the modeling, optimization, and validation of bioproduct expression in typical biological systems. Application of factorial design, neural networks, and MATLAB to increase mass and volumetric productivities.
PL: Detailed study of bioprocess integration: Design of penicillin production, production of chiral molecules of pharmaceutical interest; vitamin production, among other examples.
|
|
Main Bibliography |
1- Artigos científicos enquadrados nos conteúdos elaborados para a unidade curricular, nomeadamente nos domínios de modelação e validação das várias etapas de um bioprocesso.
2- Montgomery, D.C. (2001), Design and Analysis of Experiments, 5.ª ed., John Wiley & Sons, New York.
3- Guiochon G, Beaver LA, Separation science is the key to successful biopharmaceuticals, Journal of Chromatography A, 1218 (2011) 8836–8858.
4- Valente JFA, Sousa A, Queiroz JA, Sousa F, DoE to improve supercoiled p53-pDNA purification by O-phospho-L-tyrosine chromatography. Journal of Chromatography B. (2019) 1105: 184-192.
|
|
Teaching Methodologies and Assessment Criteria |
OT: two tests overall weight of 65% in the final grade. T1 and T2: with a partial weight each of 50%. Weight PL – 35% (minimum passing grade 9.5 points). The PL component encompasses the resolution of a case study proposed by the teacher at the beginning of the school year where the various groups must model, present and discuss at the end of the semester.
|
|
Language |
Portuguese. Tutorial support is available in English.
|