Background Process optimization deals with various parameters and statistical methods to guarantee consistent cell grow than product quality. Even if high throughput systems can handle these parameter combinations in parallel experiments, the heuristic restriction of boundaries can result in stepwise iterations with many experiments. This can make the way from process development to process est...

A systematic design of experiments (DOE) approach was used to optimize the perfusion process of a tri-axial bioreactor designed for translational tissue engineering exploiting mechanical stimuli and mechanotransduction. Four controllable design parameters affecting the perfusion process were identified in a cause-effect diagram as potential improvement opportunities. A screening process was use...

Design of Experiments (DoE) is an indispensable tool in contemporary drug analysis as it simultaneously balances a number chromatographic parameters to ensure optimal separation High Pressure Liquid Chromatography (HPLC). This manuscript briefly outlines the theoretical background DOE and provides step-by-step instruction for its implementation HPLC pharmaceutical practice. It particularly disc...

This study assesses the performance of model-assisted Design Experiment (mDoE) software toolbox for design two microalgae bioprocesses. The mDoE-toolbox was applied to maximize biomass growth Desmodesmus pseudocommunis in a photobioreactor by varying light intensity and pH Chlorella vulgaris shake flasks, duration. For both case studies, mathematical mechanistic model applied. In first only one...