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Moritz Peterwitz

Moritz Peterwitz Photo of Moritz Peterwitz

(+49)231 755-2339

(+49)231 755-2341


Laboratory of Plant and Process Design
Emil-Figge-Str. 70
Geschossbau 2
44227 Dortmund

Room G2-R3.20

since 2018

PhD at Invite GmbH (Leverkusen) in cooperation with the Laboratory of Plant and Process Design (TU Dortmund) within the frame of the consortium DDIC

M.Sc. Chemical Engineering, TU Dortmund University

2016-2017 Master thesis: Parameter study for optimisation of space-time-yield in the siphon reactor
2012-2016 Bachelor thesis: Experimental investigation of the influence of solvent viscosity in organic solvent nanofiltration
2004-2012 Graf-Engelbert-Schule (Bochum)
Born November 3rd, Bochum (Germany)

Field of Research

Currently, most pharmaceutical processes for producing solid oral dosage forms like tablets are operated in batch mode. But, continuous manufacturing (CM) as it has been performed in other industries for years offers many advantages. However, CM has no broad application until now because there is still a missing in process understanding. As a consequence, this work focuses on modeling and predicting disturbances in CM and their propagation through the process chain. For this purpose, device models will be developed and integrated into a process model. On this way, understanding of process dynamics in CM should be improved.

This work is a cooperation of INVITE GmbH and TU Dortmund within the frame of the academic-industrial consortium Drug Delivery Innovation Center (DDIC).

Recommended for further reading

[1]  P. Kleinebudde, J. Khinast, J. Rantanen, Continuous Manufacturing of Pharmaceuticals, Advances in Pharmaceutical Technology, John Wiley & Sons Incorporated, Newark 2017.

[2]  L. B. Bohle, Continuous Processing Unit QbCon - Your Continuous Manufacturing Starts Here, http://www.continuous-production.com/continuous-processing-unit, accessed 23 February 2018.



M. Peterwitz, G. Schembecker
Evaluating the potential for optimization of axial back mixing in continuous pharmaceutical manufacturing
Computers and Chemical Engineering 04.02 (2021) 107251