The iMooX-course “Tailored Materials and Enzymes for Industrial Processes – Advanced Module” focusses on state-of-the-art enzyme immobilization techniques, different methods used based on carrier materials and binding chemistries, assessment of immobilized enzymes' performance, and the use of immobilized enzymes in different reactors. Furthermore, we will introduce industrial biocatalytic applications synthesizing chemicals and downstream processing methods towards their isolation. In total nine Units were designed within the three main Topics (Design and characterization of immobilized biocatalysts, Design of reaction cascades, Process Intensification and Scaling), that will cover themes from heterogenization of enzymes and use of them in different reactor setups, also in an industrial environment. The units will be completed with some interviews between young scientists and industrial biotechnology leaders and experimental videos. After each lecture, a questionnaire must be completed and passed to successfully end the corresponding unit. The course is not only taught for students at BSc. and MSc. study levels but also to attract attention from industrial chemists interested in applying enzymes to synthesize chemicals for our daily use.

While this course can stand alone, it has been designed as part of a three MOOC series of “Tailored Materials and Enzymes for industrial Processes”:

1. “Tailored Materials and Enzymes for Industrial Processes – Basic Module”

2. “Tailored Materials and Enzymes for Industrial Processes – Advanced Module”

3. “Tailored Materials and Enzymes for Industrial Processes – Sustainability Module”

We highly recommend attending all these three MOOCs in the intended order for the best learning experience.

This course has been developed and realized in the frame of the project INTERfaces - Heterogeneous biocatalysis reaction cascades training network (H2020 Marie Skłodowska-Curie Actions (MSCA) Innovative Training Networks (ITN) – European Industrial Doctorates (EID)).

This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 860414.