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@ARTICLE{Jansen:891597,
author = {Jansen, Roman and Morschett, Holger and Hasenklever, Dennis
and Moch, Matthias and Wiechert, Wolfgang and Oldiges,
Marco},
title = {{M}icrobioreactor‐assisted cultivation workflows for
time‐efficient phenotyping of protein producing
{A}spergillus niger in batch and fed‐batch mode},
journal = {Biotechnology progress},
volume = {37},
number = {4},
issn = {1520-6033},
address = {Malden, MA},
publisher = {Wiley},
reportid = {FZJ-2021-01608},
pages = {e3144},
year = {2021},
abstract = {In recent years, many fungal genomes have become publicly
available. In combination with novel gene editing tools,
this allows for accelerated strain construction, making
filamentous fungi even more interesting for the production
of valuable products. However, besides their extraordinary
production and secretion capacities, fungi most often
exhibit challenging morphologies, which need to be screened
for the best operational window. Thereby, combining genetic
diversity with various environmental parameters results in a
large parameter space, creating a strong demand for
time‐efficient phenotyping technologies. Microbioreactor
systems, which have been well established for bacterial
organisms, enable an increased cultivation throughput via
parallelization and miniaturization, as well as enhanced
process insight via non‐invasive online monitoring.
Nevertheless, only few reports about microtiter plate
cultivation for filamentous fungi in general and even less
with online monitoring exist in literature. Moreover,
screening under batch conditions in microscale, when a
fed‐batch process is performed in large‐scale might even
lead to the wrong identification of optimized parameters.
Therefore, in this study a novel workflow for Aspergillus
niger was developed, allowing for up to 48 parallel
microbioreactor cultivations in batch as well as fed‐batch
mode. This workflow was validated against lab‐scale
bioreactor cultivations to proof scalability. With the
optimized cultivation protocol, three different
micro‐scale fed‐batch strategies were tested to identify
the best protein production conditions for intracellular
model product GFP. Subsequently, the best feeding strategy
was again validated in a lab‐scale bioreactor.},
cin = {IBG-1},
ddc = {660},
cid = {I:(DE-Juel1)IBG-1-20101118},
pnm = {2172 - Utilization of renewable carbon and energy sources
and engineering of ecosystem functions (POF4-217)},
pid = {G:(DE-HGF)POF4-2172},
typ = {PUB:(DE-HGF)16},
pubmed = {pmid:33745237},
UT = {WOS:000634853000001},
doi = {10.1002/btpr.3144},
url = {https://juser.fz-juelich.de/record/891597},
}