Bioprocessing in the digital age: the role of process models

H Narayanan, MF Luna, M von Stosch… - Biotechnology …, 2020 - Wiley Online Library
In this age of technology, the vision of manufacturing industries built of smart factories is not
a farfetched future. As a prerequisite for Industry 4.0, industrial sectors are moving towards …

Current trends in fungal biosynthesis of chitin and chitosan

MM Abo Elsoud, EM El Kady - Bulletin of the National Research Centre, 2019 - Springer
Background Chitin and chitosan are natural biopolymers found in shell of crustaceans,
exoskeletons of insects and mollusks, as well as in the cell walls of fungi. These biopolymers …

Estimating parameters of photovoltaic models using accurate turbulent flow of water optimizer

M Said, AM Shaheen, AR Ginidi, RA El-Sehiemy… - Processes, 2021 - mdpi.com
Recently, the use of diverse renewable energy resources has been intensively expanding
due to their technical and environmental benefits. One of the important issues in the …

Artificial neural networks enable genome-scale simulations of intracellular signaling

A Nilsson, JM Peters, N Meimetis, B Bryson… - Nature …, 2022 - nature.com
Mammalian cells adapt their functional state in response to external signals in form of
ligands that bind receptors on the cell-surface. Mechanistically, this involves signal …

[HTML][HTML] Modern day monitoring and control challenges outlined on an industrial-scale benchmark fermentation process

S Goldrick, CA Duran-Villalobos, K Jankauskas… - Computers & Chemical …, 2019 - Elsevier
This paper outlines real-world control challenges faced by modern-day biopharmaceutical
facilities through the extension of a previously developed industrial-scale penicillin …

Parameter estimation in large-scale systems biology models: a parallel and self-adaptive cooperative strategy

DR Penas, P González, JA Egea, R Doallo… - BMC …, 2017 - Springer
Background The development of large-scale kinetic models is one of the current key issues
in computational systems biology and bioinformatics. Here we consider the problem of …

[HTML][HTML] Bioprocess systems engineering: transferring traditional process engineering principles to industrial biotechnology

M Koutinas, A Kiparissides, EN Pistikopoulos… - Computational and …, 2012 - Elsevier
The complexity of the regulatory network and the interactions that occur in the intracellular
environment of microorganisms highlight the importance in developing tractable mechanistic …

Combining model structure identification and hybrid modelling for photo‐production process predictive simulation and optimisation

D Zhang, TR Savage, BA Cho - Biotechnology and …, 2020 - Wiley Online Library
Integrating physical knowledge and machine learning is a critical aspect of developing
industrially focused digital twins for monitoring, optimisation, and design of microalgal and …

Analysis and design of a genetic circuit for dynamic metabolic engineering

N Anesiadis, H Kobayashi, WR Cluett… - ACS synthetic …, 2013 - ACS Publications
Recent advances in synthetic biology have equipped us with new tools for bioprocess
optimization at the genetic level. Previously, we have presented an integrated in silico …

Advanced model‐based control strategies for the intensification of upstream and downstream processing in mAb production

MM Papathanasiou… - Biotechnology …, 2017 - Wiley Online Library
Current industrial trends encourage the development of sustainable, environmentally
friendly processes with minimal energy and material consumption. In particular, the …