Bachelor Thesis

PUBDB-2021-05625

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png 3D image analysis of the morphology and the oxygen diffusion within microparticle-enhanced fungal pellets using synchrotron radiation-based X-raymicrotomography

Lupp, K. (Corresponding author) ; Mueller, H. (Thesis advisor)Extern*

2021
Technische Universität München, School of Life Sciences

Abstract: Filamentous fungi are fo high biotechnological interest. Their fermentation products can beused for producig various goods. The productivity strongly depends on the fungal morphologicalcharacteristics. From a process engineering point of view, the pellet formation of filamentousfungi shows several advantages due to Newtonian behavior of the fermentationbroth. Furthermore, the production of certain bioproducts, e.g. citric acid is enhanced in fungalpellets. However, this densely packed morphological form provides certain biochemicaldisadvantages. Oxygen limitation may cause inactivation of fungal biomass. Therefore, growingsmall, uniform pellets is desired. This can be gained via various morphological engineeringtools, whereas microparticle-enhanced cultivation (MPEC) has been established as a flexibleand reproducible method. For the investigation of morphological characteristics and substratelimitations in the pellet’s interior, detailed knowledge of the three-dimensional morphology isrequired.in this thesis synchrotron radiation based X-ray microtomography was used to create detailed3D images of fungal pellets. The image analysis and segmentation methods allow a detailedcomparison of morphological properties in connection with different micorparticle concentrations.Furthermore, required pellet parameters as the hyphal length concentration, tip concentrationand effective diffusion coefficients were interpolated to simulate the oxygen diffusionwithin pellets cultvated with MPEC. The results of the pellets’ morphological characteristicsand the simulation of oxygen diffusion in the Aspergillus niger pellets demonstrate the advantagesof MPEC and image analysis based on μCT-measurements.

Note: Bachelorarbeit, Technische Universität München, 2021

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Contributing Institute(s):

1. DOOR-User (DOOR ; HAS-User)
2. Technische Universität München (TUM)
3. Helmholtz-Zentrum Hereon (Hereon)

Research Program(s):

1. 6G3 - PETRA III (DESY) (POF4-6G3) (POF4-6G3)
2. FS-Proposal: I-20200214 (I-20200214) (I-20200214)

Experiment(s):

1. PETRA Beamline P05 (PETRA III)

Appears in the scientific report 2021

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