Project Details

Description

A multidimensional approach is used to identify suitable scale-down workflows to mimic and subsequently optimize laboratory-scale industrial bioprocesses. The effects of different scale-down configurations on cultivation performance are compared to industrial cultivation with a focus on the oleogenic yeast Yarrowia lipolytica and single-cell analysis of its macromorphology and lipid droplet formation. This concept is followed up to the industrial production scale.
With advanced in-situ microscopy, macromorphological changes to elongated cells, a sign for cell stress, can be measured with sufficient time and size resolution. This allows a better assignment of occurring macromorphological changes to specific cultivation conditions, including scale-up effects.

Key findings

In general, so far a greater agreement between population heterogeneities across scales was found with multi-compartment systems than with single-compartment systems. Overall, oscillatory conditions have effects on product formation behavior and amino acid incorporation in Yarrowia lipolytica in this regard. Interestingly, the addition of complex components in the medium does not lead to a noticeable improvement of resistance against typical scale-related stress factors.
StatusActive
Effective start/end date16/10/2022 → …

Collaborative partners

  • Technical University of Berlin
  • Jülich Research Centre

UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This project contributes towards the following SDG(s):

  • SDG 2 - Zero Hunger
  • SDG 3 - Good Health and Well-being
  • SDG 8 - Decent Work and Economic Growth
  • SDG 9 - Industry, Innovation, and Infrastructure
  • SDG 12 - Responsible Consumption and Production

Keywords

  • Scale-down
  • oleagineous yeast
  • single-cell monitoring
  • industrial scale
  • population heterogeneity

Fingerprint

Explore the research topics touched on by this project. These labels are generated based on the underlying awards/grants. Together they form a unique fingerprint.