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@PHDTHESIS{Rohr:1012223,
author = {Rohr, Katja},
othercontributors = {Oldiges, Marco and Schwaneberg, Ulrich and Wiechert,
Wolfgang},
title = {{A}dvancing bioprocess development for filamentous fungi},
school = {RWTH Aachen University},
type = {Dissertation},
address = {Aachen},
publisher = {RWTH Aachen University},
reportid = {RWTH-2025-04925},
pages = {1 Online-Ressource : Illustrationen},
year = {2025},
note = {Veröffentlicht auf dem Publikationsserver der RWTH Aachen
University; Dissertation, RWTH Aachen University, 2025},
abstract = {Biotechnology has advanced industrial sectors such as
bio-pharmaceuticals, animal feed and nutrition by harnessing
the power of microorganisms to produce essential compounds.
Among these microbial producers, filamentous fungi have
proven indispensable due to their remarkable capacity for
enzyme production. Important examples of enzymes produced by
filamentous fungi are cellulases, which are used in
bioethanol production and textile processing, and phytases,
which increase the bioavailability of phosphorous in animal
feed. However, bioprocess development for filamentous fungi
is hampered by their complex morphology and its significant
impact on productivity, making strain selection and process
optimization inefficient and time-consuming. Conventional
small-scale cultivation approaches often fail to replicate
large-scale industrial process conditions, further
complicating bioprocess development for filamentous fungi.
This work addresses these limitations by advancing
small-scale cultivation techniques through the use of
high-throughput microbioreactor systems, integrated
laboratory automation and automated microscopy.
Specifically, the methodology was developed for Trichoderma
reesei, Aspergillus niger and Thermothelomyces thermophilus
due to their industrial relevance and distinct morphological
characteristics. First, microbioreactor cultivation
strategies were optimized for T. reesei, closely aligning
small-scale conditions with industrial environments.
Subsequently, automated workflows significantly improved the
efficiency and throughput of A. niger cultivation.
Furthermore, a detailed analysis of images of T.
thermophilus obtained by automated microscopy revealed
specific morphological features associated with enhanced
enzyme production. These results contribute to a deeper
understanding of the relationship between fungal morphology
and productivity. The methods and results presented in this
thesis greatly accelerate fungal bioprocess development by
reducing both the time and manual effort required. Overall,
this framework provides a more efficient approach to
optimizing fungal bioprocesses, ultimately advancing
industrial enzyme production and contributing to the broader
field of industrial biotechnology.},
cin = {163820 / 160000},
ddc = {570},
cid = {$I:(DE-82)163820_20140620$ / $I:(DE-82)160000_20140620$},
typ = {PUB:(DE-HGF)11},
doi = {10.18154/RWTH-2025-04925},
url = {https://publications.rwth-aachen.de/record/1012223},
}