BioPhysique et Biotechnologies

BioPhysics - Modeling and Measure for Biotechnologies

Description: Biotechnologies play a strategic role in many industrial sectors, including agri-food, pharmaceuticals, and environmental applications. Optimizing bioprocesses in these areas requires precise monitoring of critical parameters. Conventional approaches, which rely on offline analyses, are often time-consuming, costly, and can introduce contamination risks. In contrast, in situ measurement techniques—especially optical methods—enable real-time, non-invasive monitoring and generate large volumes of data that require advanced processing tools. This course introduces the fundamentals of industrial biotechnologies, the principles of physical measurement, and modeling approaches applied to biological systems. Particular attention is given to in situ optical techniques such as Raman spectroscopy. The course also covers data analysis using multivariate methods and neuro-inspired approaches.

Learning outcomes: At the end of this elective course, students will be able to: AA1: Experiment on a real bioprocess and collect in situ data – AA2: Process and analyze data using multivariate methods – AA3: Model and validate a predictive model of the biotechnological system – AA4: Interpret discrepancies between the model and experimental results.

Evaluation methods: 1h30 written test, can be retaken

Evaluated skills:

• Physical Modeling
• Data Processing

Course supervisor:

• Ninel Kokanyan
• Cédric Guerin

Geode ID: SPM-PHY-005