Application of heat compensation calorimetry to an E. coli fed-batch process

Müller, Matthias; Meusel, Wolfram; Husemann, Ute; Greller, Gerhard; Kraume, Matthias

doi:10.1016/j.jbiotec.2017.12.002

Cited by 7 publications

(9 citation statements)

References 41 publications

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“…The E. coli BL21(DE3) strain, which is considered in the following experimental validation, is well‐adapted to high cell density cultivation due to its relatively low acetate production and lower sensitivity to varying growth conditions 27 …”

Section: Methodsmentioning

confidence: 99%

“…The E. coli BL21(DE3) strain, which is considered in the following experimental validation, is well-adapted to high cell density cultivation due to its relatively low acetate production and lower sensitivity to varying growth conditions. 27 The composition of the pre-culture, batch, and feed media are provided in Tables 1 and 2. The media were prepared according to the protocol of References 28 and 29.…”

Section: Microbial Strain and Pre-culture Conditionsmentioning

confidence: 99%

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Experimental validation of a nonlinear model predictive controller regulating the acetate concentration in fed‐batch Escherichia coli BL21(DE3) cultures

et al. 2022

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Fed-batch cultures of Escherichia coli are commonly used for the production of biopharmaceuticals. However, productivity can be adversely affected by the production of acetate inhibiting the cell respiratory capacity. In this study, a nonlinear predictive control is developed based on a process model, and an unscented Kalman filter for estimating the evolution of the glucose and acetate concentrations. The control objective is to regulate the acetate concentration at a low level, so as to maintain the culture close to the edge between the fermentative and respirative regimes. The control strategy is tested in simulation and in lab-scale experiments, demonstrating its feasibility and performance.

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Section: Methodsmentioning

confidence: 99%

Section: Microbial Strain and Pre-culture Conditionsmentioning

confidence: 99%

Experimental validation of a nonlinear model predictive controller regulating the acetate concentration in fed‐batch Escherichia coli BL21(DE3) cultures

et al. 2022

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“…The E. coli BL21 (DE3) strain was used in the bioreactor experiments. BL21 is known to lead to a low acetate formation compared to E. coli K12, which is suitable for high cell-density cultivation as well as a lower sensitivity to varying growth conditions [30].…”

Section: Microbial Strainmentioning

confidence: 99%

Generic Model Control Applied to E. coli BL21(DE3) Fed-Batch Cultures

et al. 2020

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This work proposes a Generic Model Control (GMC) strategy to regulate biomass growth in fed-batch cultures of Escherichia coli BL21(DE3). The control law is established using a previously validated mechanistic model based on the overflow metabolism paradigm. A model reduction is carried out to prevent the controller from relying on kinetics, which may be uncertain. In order to limit the controller to the use of a single measurement, i.e., biomass concentration which is readily available, a Kalman filter is designed to reconstruct the nonmeasurable information from the outlet gas and the remaining stoichiometry. Several numerical simulations are presented to assess the controller robustness with respect to model uncertainty. Experimental validation of the proposed GMC strategy is achieved with a lab-scale bioreactor.

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“…Obtained numerical simulation of substrate feed rate in batch-to-batch process and leads to a robust process from measured problems in protein production [22]. Showed that heat capacity calorimeter of growth behavior will help to find validity and accuracy in a fermentation process used in many applications by this simple strategy [23]. Evidenced that glycan fractions with a heavy chain and the protein abundance enzyme to measure the time evolution of heterogeneities in pharmaceutical production as shown in Figure 4 [24] [25].…”

Section: 1mentioning

confidence: 99%

“…Observed enzyme activity of monoclonal antibodies in a bioreactor scale to improve intracellular clustering of micro-heterogeneities mining method for an absolute measure of scale in a pharmaceutical production [25]. Compared heat capacity calorimetry to compensation mode in a validity and accuracy, since mainly deal with PAT solution [23]. Analyzed the NIR data and EN data in partial least square with high correlation biomass, glucose, and acetate during monitoring and control of spectral identification [21].…”

Section: 1mentioning

confidence: 99%

Implementation Bioreactor of Fed-Batch OperatingMode using Biomass Growth Adaptive Control System

Sathyaraj¹,

Levišauskas²,

Urniezius³

2019

ijastems

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This paper work describes the glycerol control system. The operation of the glycerol control system has been analyzed and actual showing intervals determined.The research part describes the research methods: First order time delay models, second order polynomial model, PID control algorithm, Cohen and Coon tuning rules. The goal of present work develop and investigate biomass growth control system in fed-batch operating mode bioreactor. This paper provides the develop and investigate a model for simulation of adaptive control system performance for tracking of specific growth rate at specific set point time trajectories and compare the result with ordinary control system performance indices. In the investigation part of the study, the calculation was made according to three different methods. The mathematical model parameters are obtained using an open loop test.The calculated reaction curve results are compared with experimental results using a second order polynomial method. The experimental results were carried out using an adaptive system and non-adaptive system methods. The results of the two methods were compared and the problem was solved. The tables of calculation with the results and the optimized results graphs are presented. Experimental calculations, programming and modelling performed using MATLAB/SIMULINK software.

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Application of heat compensation calorimetry to an E. coli fed-batch process

Cited by 7 publications

References 41 publications

Experimental validation of a nonlinear model predictive controller regulating the acetate concentration in fed‐batch Escherichia coli BL21(DE3) cultures

Experimental validation of a nonlinear model predictive controller regulating the acetate concentration in fed‐batch Escherichia coli BL21(DE3) cultures

Generic Model Control Applied to E. coli BL21(DE3) Fed-Batch Cultures

Implementation Bioreactor of Fed-Batch OperatingMode using Biomass Growth Adaptive Control System

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