Filters








81 Hits in 4.2 sec

In-silico Optimization of a Batch Bioreactor for mAbs Production in Relationship to the Net Evolution of the Hybridoma Cell Culture

Gheorghe Maria, Cristiana Luminita Gijiu, Iulian Cebanu, Cristina Maria, Carmen Tociu
2019 Revista de Chimie  
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]

Mariano Nicolas Cruz-Bournazou, Harini Narayanan, Alessandro Fagnani, Alessandro Butte
2021 bioRxiv   pre-print
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

Gheorghe Maria
2020 Molecules  
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

Julio R. Banga, Eva Balsa-Canto, Carmen G. Moles, Antonio A. Alonso
2005 Journal of Biotechnology  
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]

Gheorghe Maria
2021 Prime Archives in Molecular Sciences  
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

A. Andrášik, A. Mészáros, S.F. de Azevedo
2004 Computers and Chemical Engineering  
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

M. Novak
2015 Chemical and Biochemical Engineering Quarterly  
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

N. Raúl Chiu, H. José L. Navarro, Jesús Picó
2007 IFAC Proceedings Volumes  
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

Jonathan I Betts, Frank Baganz
2006 Microbial Cell Factories  
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

L. Khaouane, O. Benkortbi, S. Hanini, C. Si-Moussa
2013 Brazilian Journal of Chemical Engineering  
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

Ilse Y. Smets, Johan E. Claes, Eva J. November, Georges P. Bastin, Jan F. Van Impe
2004 Journal of Process Control  
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

Sebastian Juan Reyes, Yves Durocher, Phuong Lan Pham, Olivier Henry
2022 Processes  
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

O. Grigs
2016 Chemical and Biochemical Engineering Quarterly  
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

M. von Stosch, R. Oliveira, J. Peres, S. Feyo de Azevedo
2011 Expert systems with applications  
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

Isuru A. Udugama, Pau C. Lopez, Carina L. Gargalo, Xueliang Li, Christoph Bayer, Krist V. Gernaey
2021 Systems Microbiology and Biomanufacturing  
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
« Previous Showing results 1 — 15 out of 81 results