TY - JOUR
T1 - Bioprocess scale-up/down as integrative enabling technology
T2 - from fluid mechanics to systems biology and beyond
AU - Delvigne, Frank
AU - Takors, Ralf
AU - Mudde, Rob
AU - van Gulik, Walter
AU - Noorman, Henk
PY - 2017/9/1
Y1 - 2017/9/1
N2 - Efficient optimization of microbial processes is a critical issue for achieving a number of sustainable development goals, considering the impact of microbial biotechnology in agrofood, environment, biopharmaceutical and chemical industries. Many of these applications require scale-up after proof of concept. However, the behaviour of microbial systems remains unpredictable (at least partially) when shifting from laboratory-scale to industrial conditions. The need for robust microbial systems is thus highly needed in this context, as well as a better understanding of the interactions between fluid mechanics and cell physiology. For that purpose, a full scale-up/down computational framework is already available. This framework links computational fluid dynamics (CFD), metabolic flux analysis and agent-based modelling (ABM) for a better understanding of the cell lifelines in a heterogeneous environment. Ultimately, this framework can be used for the design of scale-down simulators and/or metabolically engineered cells able to cope with environmental fluctuations typically found in large-scale bioreactors. However, this framework still needs some refinements, such as a better integration of gas–liquid flows in CFD, and taking into account intrinsic biological noise in ABM.
AB - Efficient optimization of microbial processes is a critical issue for achieving a number of sustainable development goals, considering the impact of microbial biotechnology in agrofood, environment, biopharmaceutical and chemical industries. Many of these applications require scale-up after proof of concept. However, the behaviour of microbial systems remains unpredictable (at least partially) when shifting from laboratory-scale to industrial conditions. The need for robust microbial systems is thus highly needed in this context, as well as a better understanding of the interactions between fluid mechanics and cell physiology. For that purpose, a full scale-up/down computational framework is already available. This framework links computational fluid dynamics (CFD), metabolic flux analysis and agent-based modelling (ABM) for a better understanding of the cell lifelines in a heterogeneous environment. Ultimately, this framework can be used for the design of scale-down simulators and/or metabolically engineered cells able to cope with environmental fluctuations typically found in large-scale bioreactors. However, this framework still needs some refinements, such as a better integration of gas–liquid flows in CFD, and taking into account intrinsic biological noise in ABM.
UR - http://www.scopus.com/inward/record.url?scp=85029715122&partnerID=8YFLogxK
UR - http://resolver.tudelft.nl/uuid:66a5fe2f-455d-438a-ba53-82dfccc5fcf6
U2 - 10.1111/1751-7915.12803
DO - 10.1111/1751-7915.12803
M3 - Article
AN - SCOPUS:85029715122
SN - 1751-7907
VL - 10
SP - 1267
EP - 1274
JO - Microbial Biotechnology
JF - Microbial Biotechnology
IS - 5
ER -