% IMPORTANT: The following is UTF-8 encoded. This means that in the presence
% of non-ASCII characters, it will not work with BibTeX 0.99 or older.
% Instead, you should use an up-to-date BibTeX implementation like “bibtex8” or
% “biber”.
@ARTICLE{Morschett:841203,
author = {Morschett, Holger and Loomba, Varun and Huber, Gregor and
Wiechert, Wolfgang and von Lieres, Eric and Oldiges, Marco},
title = {{L}aboratory scale photobiotechnology – {C}urrent trends
and future perspectives},
journal = {FEMS microbiology letters},
volume = {365},
number = {1},
issn = {1574-6968},
address = {Oxford},
publisher = {Oxford Univ. Press},
reportid = {FZJ-2017-08296},
pages = {1-9},
year = {2018},
abstract = {Phototrophic bioprocesses are a promising puzzle piece in
future bioeconomy concepts but yet mostly fail for economic
reasons. Besides other aspects, this is mainly attributed to
the omnipresent issue of optimal light supply impeding
scale-up and -down of phototrophic processes according to
classic established concepts. This MiniReview examines two
current trends in photobiotechnology, namely microscale
cultivation and modeling and simulation.
Microphotobioreactors are a valuable and promising trend
with microfluidic chips and microtiter plates as predominant
design concepts. Providing idealized conditions, chip
systems are preferably to be used for acquiring
physiological data of microalgae while microtiter plate
systems are more appropriate for process parameter and
medium screenings. However, these systems are far from
series technology and significant improvements especially
regarding flexible light supply remain crucial. Whereas
microscale is less addressed by modeling and simulation so
far, benchtop photobioreactor design and operation have
successfully been studied using such tools. This
particularly includes quantitative model-assisted
understanding of mixing, mass transfer, light dispersion and
particle tracing as well as their relevance for microalgal
performance. The ultimate goal will be to combine
physiological data from microphotobioreactors with hybrid
models to integrate metabolism and reactor simulation in
order to facilitate knowledge-based scale transfer of
phototrophic bioprocesses.},
cin = {IBG-1 / IBG-2},
ddc = {570},
cid = {I:(DE-Juel1)IBG-1-20101118 / I:(DE-Juel1)IBG-2-20101118},
pnm = {583 - Innovative Synergisms (POF3-583)},
pid = {G:(DE-HGF)POF3-583},
typ = {PUB:(DE-HGF)16},
UT = {WOS:000428748700001},
doi = {10.1093/femsle/fnx238},
url = {https://juser.fz-juelich.de/record/841203},
}