Christoph Herwig
Vienna University of Technology
274 Papers
820 Citations
Christoph Herwig is an academic researcher from Vienna University of Technology. The author has contributed to research in topics: Chemistry & Bioprocess. The author has an hindex of 36, co-authored 243 publications. Previous affiliations of Christoph Herwig include Takeda Pharmaceutical Company & Gesellschaft Deutscher Chemiker.
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Papers
A control strategy to investigate the relationship between specific productivity and high-mannose glycoforms in CHO cells
Dénes Zalai,Helga Hevér,Krisztina Lovász,Dóra Molnár,Patrick Wechselberger,Alexandra Hofer,László Párta,Ákos Putics,Christoph Herwig +8 more
TL;DR: This study demonstrated how physiological parameters could be used to understand interactions between process parameters, physiological parameters, and product quality attributes.
Soft sensor for monitoring biomass subpopulations in mammalian cell culture processes.
TL;DR: The presented soft sensor concept provides a tool for viable, dead and lysed cell concentration estimation in real-time with adequate accuracy and enables further applications with respect to process optimization and control.
Development of a fed-batch process for a recombinant Pichia pastoris Δoch1 strain expressing a plant peroxidase.
Christoph Gmeiner,Amirhossein Saadati,Daniel Maresch,Stanimira Krasteva,Manuela Frank,Friedrich Altmann,Christoph Herwig,Oliver Spadiut +7 more
TL;DR: C cultivation conditions for a recombinant P. pastoris Δoch1 strain are determined allowing high productivity and product purity and the effects of the 3 process parameters temperature, pH and dissolved oxygen concentration on cell physiology, cell morphology, cell lysis and productivity are investigated in a multivariate manner.
Advancing Raman model calibration for perfusion bioprocesses using spiked harvest libraries
Patrick Romann,Jakub Kolar,Daniela Tobler,Christoph Herwig,Jean-Marc Bielser,Thomas K. Villiger +5 more
TL;DR: In this article , robust and specific model calibration remains a challenge due to insufficient analyte variability to train the models and high cross-correlation of various media components and artifacts throughout the process.
Determination of a dynamic feeding strategy for recombinant Pichia pastoris strains.
TL;DR: A fast method based on batch experiments with methanol pulses to extract certain strain characteristic parameters, which are required to set up a dynamic feeding strategy for P. pastoris strains based on specific substrate uptake rate (q(s).