TFTB50 · 6 credits · Advanced level (A1N) · Teknisk biologi
Bioprocess Analytical Technologies
Active · next start HT 2026
84%
passed the latest ordinary exam
TEN1 · 29 Oct 2025 · 37 students
85%
passed the ordinary exams, all sittings over the last 5 years
TEN1 · 79 students
54%
Harder than 54% of courses at advanced level
Compared with 285 courses at the same level, ordinary exams over the last three academic years. 79 students.
Part of 2 programmes
Exam
TEN1 Written examination
- 5
- 4
- 3
- U
Ordinary exams
85% passed · 79 students
- 84%37
- 86%42
Re-exams
91% passed · 47 students
- 100%5
- 80%5
- 92%37
- Pass the re-exam: 91% (47 students), compared with 85% (79 students) on the ordinary exam
- Get 4 or 5: 48% (126 students)
Show small sittings (4)
Sittings with fewer than 5 students, often credit transfers or special sittings. They are not part of any figure on this page.
- 100%1
- 100%1
- 100%1
- 100%4
Other modules
Partial exams, hand-ins and labs. They are not part of the figures at the top.
Hand-in or lab
UPG1 Project
- G
Main rounds
100% passed · 81 students
- 100%41
- 100%40
Later rounds
100% passed · 36 students
- 100%36
- Pass a later round: 100% (36 students), compared with 100% (81 students) on the ordinary exam
Hand-in or lab
LAB1 Laboratory work
- G
Main rounds
100% passed · 80 students
- 100%41
- 100%39
Later rounds
100% passed · 36 students
- 100%36
- Pass a later round: 100% (36 students), compared with 100% (80 students) on the ordinary exam
Show small sittings (1)
Sittings with fewer than 5 students, often credit transfers or special sittings. They are not part of any figure on this page.
- 100%1
About the course
Aim
The course will give an introduction to the bioanalytical techniques and sensors used in biomanufacturing industry and during process development as well as how they are used for product quality control, analysis of metabolites, nutrients, bioproducts and product variants, and for monitoring of process parameters, optimization and control of bioprocesses. The course will also give the students a good understanding on how bioanalytical techniques and sensors can be used for measuring different relevant quality parameters and quality attributes and how this information ca be used for implementation of Quality-by-Design in production of biotechnological products and to facilitate more sustainable production. After the course, the students should be able to:
- Account for common bioanalytical methods, technologies, and sensors that are used in the bioprocess industry and the chemical, biochemical, and/or physical principles upon which they are based.
- Describe which bioanalytical technologies that are relevant to apply to address relevant questions that may arise during biotechnological production and process development.
- Account for the concept Quality-By-Design (QbD) and how process analytical technologies (PAT) enable QbD in the bioprocess industry.
- Analyze, reflect upon and present experimental data from common bioanalytical techniques for analysis of samples from biotechnical processes.
Content
The course covers various bioanalytical techniques and sensors that are used in biological production and during process development. Their chemical and physical principles are discussed, as well as how they are used to address different analytical questions related to quality control of products, raw materials, analysis of metabolites, nutrients, bioproducts, product variants and biomolecular interactions. Possibilities to use process analytical technologies (PAT) and real-time bioanalytical data for monitoring process parameters, process optimization and control are discussed as we all as possibilities to use PAT to improve sustainability of biological processes. In addition, the course covers the role of PAT for determining and monitoring different quality parameters and attributes and how this information can be used for implementation of Quality-by-Design concepts in bioproduction. Bioanalytical techniques that are discussed include mass spectroscopy, chromatography, biosensors, various chemical and physical sensors, immunological methods, and spectroscopy. The course also touches upon methods for data collection and data treatment, multidimensional data representation and data structures, and multivariate data analysis.
- Examiner
- Johan Karlsson
- Scheduled hours
- 56 h
- Main field of study
- Teknisk biologi