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In-silico Optimization of a Batch Bioreactor for mAbs Production in Relationship to the Net Evolution of the Hybridoma Cell Culture
2019
Revista de Chimie
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Bioreactor optimization is a common engineering problem difficult to be solved due to the large number of influential variables of high variability. ...
of the optimal operating setpoint (SP) of a three-phase mechanically agitated batch bioreactor (TPMAB) with immobilized hybridoma culture. ...
From the mathematical point of view, the bioreactor dynamic model translates in a set of differential mass balances for every considered species, of the form: (1) with the reaction rate r j expressions ...
doi:10.37358/rc.19.8.7470
fatcat:3ltzxqxmsrbfrpjlaecec44yue
Hybrid Gaussian Process Models for continuous time series in bolus fed-batch cultures
[article]
2021
bioRxiv
pre-print
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Nevertheless, handling the dynamics of the states of the system, known to have a continuous time-dependent evolution governed by implicit dynamics, has proven to be a major challenge. ...
typically using differential equations to describe the dynamics of the process based on its current state. ...
Gaussian Process State Space Models A very promising class are Gaussian Process State Spaces Models (GPSSM) Hewing et al. (2018) , which aim to predict the dynamics of a process and its time evolution ...
doi:10.1101/2021.12.27.474269
fatcat:4shsipv2mjgwvivm3l3vy2srue
Model-Based Optimization of a Fed-Batch Bioreactor for mAb Production Using a Hybridoma Cell Culture
2020
Molecules
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However, the optimal control of such sensitive bioreactors is an engineering problem difficult to solve due to the large number of state-variables with highly nonlinear dynamics, which often translates ...
into a non-convex optimization problem that involves a significant number of decision (control) variables. ...
the inlet levels of [GLC] and [GLN] as control variables, all being obtained by means of a hybrid deterministic (differential, intrinsic)-empiric (macroscopic) model. ...
doi:10.3390/molecules25235648
pmid:33266156
pmcid:PMC7729860
fatcat:3deimoxs6nhldoqiyqpg6xcbcu
Dynamic optimization of bioprocesses: Efficient and robust numerical strategies
2005
Journal of Biotechnology
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The dynamic optimization (open loop optimal control) of non-linear bioprocesses is considered in this contribution. ...
In particular, a hybrid technique uses a first global optimization phase followed by a fast second phase based on a local deterministic method, so it can handle the nonconvexity of many of these NLPs. ...
Acknowledgements The authors thank the Spanish Ministry of Science and Technology (MCyT project AGL2001-2610-C02-02) and Xunta de Galicia (grant PGIDIT02PXIC40211PN) for financial support. ...
doi:10.1016/j.jbiotec.2005.02.013
pmid:15888349
fatcat:m5tiag2ywbclzewohfvy3zph5q
Model-Based Optimization of a Fed-Batch Bioreactor for mAb Production Using a Hybridoma Cell Culture
[chapter]
2021
Prime Archives in Molecular Sciences
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However, the optimal control of such sensitive bioreactors is an engineering problem difficult to solve due to the large number of state-variables with highly nonlinear dynamics, which often translates ...
into a non-convex optimization problem that involves a significant number of decision (control) variables. ...
the inlet levels of [GLC] and [GLN] as control variables, all being obtained by means of a hybrid deterministic (differential, intrinsic)-empiric (macroscopic) model. ...
doi:10.37247/pamol2ed.3.2021.8
fatcat:6mvlzodmv5aa7lw7kqkjc5pism
On-line tuning of a neural PID controller based on plant hybrid modeling
2004
Computers and Chemical Engineering
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In this paper, a new control technique for nonlinear control based on hybrid neural modeling is proposed. ...
The first one is a feedforward neural network that is employed as a predictive hybrid model of the controlled plant. ...
As this work was partly carried out at the Department of Chemical Engineering, Faculty of Engineering, University of Porto, the authors wish to thank also the Portuguese National Foundation for Scientific ...
doi:10.1016/j.compchemeng.2003.12.002
fatcat:goffhqk4b5doxase4fhbaeqspa
Mathematical Modelling as a Tool for Optimized PHA Production
english
2015
Chemical and Biochemical Engineering Quarterly
english
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The same author tested three fundamental hybrid designs by comparison of the neural and mechanistic optimizations done for a fed-batch bioreactor 153 . ...
ANN and hybrid ANN-GA were found superior for modeling and optimization of process variables, respectively. ...
doi:10.15255/cabeq.2014.2101
fatcat:sbnabwlayvh6ji4qfgy3t33adq
A NONLINEAR OBSERVER FOR BIOPROCESSES USING LMI
2007
IFAC Proceedings Volumes
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The results are compared with an asymptotic observer, a classic nonlinear observer and a hybrid observer scheme. ...
The values of the gain matrix are determined through the resolution of a LMI formed by the vertexes of a polytope defined by the limited values of the states. ...
DYNAMIC MODEL OF A BIOLOGICAL REACTOR The dynamic model of bioreactors is classified in accordance with the level of detail employed to describe an individual cell. ...
doi:10.3182/20070604-3-mx-2914.00067
fatcat:qsr5eabrejhennx6t6wahjsxye
Miniature bioreactors: current practices and future opportunities
2006
Microbial Cell Factories
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Finally we will discuss how MBRs can be used in conjunction with automated robotic systems and other miniature process units to deliver a fully-integrated, high-throughput (HT) solution for cell cultivation ...
This review focuses on the emerging field of miniature bioreactors (MBRs), and examines the way in which they are used to speed up many areas of bioprocessing. ...
Centre for Micro Biochemical Engineering. ...
doi:10.1186/1475-2859-5-21
pmid:16725043
pmcid:PMC1523360
fatcat:x32fute2znafpki4dglqgx34bi
Modeling of an industrial process of pleuromutilin fermentation using feed-forward neural networks
2013
Brazilian Journal of Chemical Engineering
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This work investigates the use of artificial neural networks in modeling an industrial fermentation process of Pleuromutilin produced by Pleurotus mutilus in a fed-batch mode. ...
aim to predict the evolution of three main bioprocess variables: biomass, substrate and product. ...
fermentation of Pleuromutilin produced in a fedbatch mode. ...
doi:10.1590/s0104-66322013000100012
fatcat:35f2h26cvrcghdezvc2juk5zga
Optimal adaptive control of (bio)chemical reactors: past, present and future
2004
Journal of Process Control
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Following the paradigm of the Minimum Principle of Pontryagin the derivation of optimal control sequences for fed-batch production processes is briefly revisited. ...
Implementing this knowledge leads in a natural way to the design of (nearly) optimal adaptive feedback controllers. ...
yeast, food additives and recombinant proteins), optimization and control of fedbatch bioreactors has become more challenging than ever. ...
doi:10.1016/j.jprocont.2003.12.005
fatcat:4e2turkq7vavrlw5nyneek2w5a
Modern Sensor Tools and Techniques for Monitoring, Controlling, and Improving Cell Culture Processes
2022
Processes
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The growing biopharmaceutical industry has reached a level of maturity that allows for the monitoring of numerous key variables for both process characterization and outcome predictions. ...
Sensors were historically used in order to maintain an optimal environment within the reactor to optimize process performance. ...
Conflicts of Interest: The authors declare no conflict of interest. ...
doi:10.3390/pr10020189
fatcat:cp3zlq3ocfdw5mmnkactz4jq2m
Model Predictive Feeding Rate Control in Conventional and Single-use Lab-scale Bioreactors: A Study on Practical Application
english
2016
Chemical and Biochemical Engineering Quarterly
english
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The step-by-step evolution of the socalled "golden batch" optimal biomass growth profile and its control during the process is demonstrated. ...
Four sequentially performed experiments are demonstrated as an example for desirable feeding profile evolution for E. coli BL21 biomass production in a glucose-limited fed-batch process. ...
For the integration of differential equations, the standard Matlab ODE solver ode15s (a variable-order method for solving stiff differential equation systems) was used. ...
doi:10.15255/cabeq.2015.2212
fatcat:m2nmauy7tbgipmvoirmfpgyrwm
A novel identification method for hybrid (N)PLS dynamical systems with application to bioprocesses
2011
Expert systems with applications
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The proposed model belongs to the class of hybrid models and consists of a NPLS submodel, which mimics the cellular system, coupled to a set of material balance equations defining the reactor dynamics. ...
This paper presents a method for the identification of nonlinear partial least square (NPLS) models embedded in macroscopic material balance equations with application to bioprocess modeling. ...
Acknowledgment Sincere thanks for the provided data go to the Netherlands Vaccine Institute and for financial support to the Fundacao para a Ciencia e a Tecnologia, where the reference number of the provided ...
doi:10.1016/j.eswa.2011.02.117
fatcat:4jawsswmvvbwdgag6ysdgmigsu
Digital Twin in biomanufacturing: challenges and opportunities towards its implementation
2021
Systems Microbiology and Biomanufacturing
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For demonstration purposes, the framework is applied to a bench-scale second-generation ethanol fermentation process as a case study. ...
In an attempt to clarify this issue, we investigate this overlap for the specific case of fermentation operation, a central step in many biomanufacturing processes. ...
Acknowledgements The Authors would like to acknowledge the Novo Nordisk Foundation in the frame of the 'Accelerated Innovation in Manufacturing Biologics' (AIMBio) project (Grant number NNF19SA0035474) ...
doi:10.1007/s43393-021-00024-0
fatcat:wwfjljml6bh3vlen6vziynctgi
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