Academic literature on the topic 'Complex fed-batch bioprocess'

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Journal articles on the topic "Complex fed-batch bioprocess"

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Caramihai, Mihai, and Irina Severin. "Intelligent Techniques for Fed-Batch Bioprocess Control." Key Engineering Materials 467-469 (February 2011): 1478–81. http://dx.doi.org/10.4028/www.scientific.net/kem.467-469.1478.

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Bioprocesses are appreciated as difficult to control because their dynamic behavior is highly nonlinear and time varying, in particular, when they are operating in fed batch mode. For this kind of bioprocess where the mathematical model contains many structured and unstructured uncertainties, we try to combine different intelligent techniques based on natural syllogisms of these techniques. In order to obtain a high bioprocess productivity it is essential to accord the benefits of the classical control strategy (i.e. the analytical determination of the optimum) with the subjective bioprocess c
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2

Ivušić, Franjo, Tonči Rezić, and Božidar Šantek. "Heterotrophic Cultivation of Euglena gracilis in Stirred Tank Bioreactor: A Promising Bioprocess for Sustainable Paramylon Production." Molecules 27, no. 18 (2022): 5866. http://dx.doi.org/10.3390/molecules27185866.

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Paramylon is a valuable intracellular product of the microalgae Euglena gracilis, and it can accumulate in Euglena cells according to the cultivation conditions. For the sustainable production of paramylon and appropriate cell growth, different bioreactor processes and industrial byproducts can be considered as substrates. In this study, a complex medium with corn steep solid (CSS) was used, and various bioreactor processes (batch, fed batch, semicontinuous and continuous) were performed in order to maximize paramylon production in the microalgae Euglena gracilis. Compared to the batch, fed ba
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3

Castañeda, María Teresita, Sebastián Nuñez, Martín Jamilis, and Hernán De Battista. "Enhancement of Lipid Production in Rhodosporidium toruloides: Designing Feeding Strategies Through Dynamic Flux Balance Analysis." Fermentation 11, no. 6 (2025): 354. https://doi.org/10.3390/fermentation11060354.

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Fed-batch cultivation is a widely used strategy for microbial lipid production, offering flexibility in nutrient control and the potential for high lipid productivity. However, optimizing feeding strategies remains a complex challenge, as it depends on multiple factors, including strain-specific metabolism and process limitations. In this study, we developed a computational framework based on dynamic flux balance analysis and small-scale metabolic models to evaluate and optimize lipid production in Rhodosporidium toruloides strains. We proposed equations to estimate both the carbon and energy
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4

Fan, Qin, Giorgio Caserta, Christian Lorent, Oliver Lenz, Peter Neubauer, and Matthias Gimpel. "Optimization of Culture Conditions for Oxygen-Tolerant Regulatory [NiFe]-Hydrogenase Production from Ralstonia eutropha H16 in Escherichia coli." Microorganisms 9, no. 6 (2021): 1195. http://dx.doi.org/10.3390/microorganisms9061195.

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Hydrogenases are abundant metalloenzymes that catalyze the reversible conversion of molecular H2 into protons and electrons. Important achievements have been made over the past two decades in the understanding of these highly complex enzymes. However, most hydrogenases have low production yields requiring many efforts and high costs for cultivation limiting their investigation. Heterologous production of these hydrogenases in a robust and genetically tractable expression host is an attractive strategy to make these enzymes more accessible. In the present study, we chose the oxygen-tolerant H2-
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Hrnčiřík, Pavel. "Monitoring of Biopolymer Production Process Using Soft Sensors Based on Off-Gas Composition Analysis and Capacitance Measurement." Fermentation 7, no. 4 (2021): 318. http://dx.doi.org/10.3390/fermentation7040318.

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This paper focuses on the design of soft sensors for on-line monitoring of the biotechnological process of biopolymer production, in which biopolymers are accumulated in bacteria as an intracellular energy storage material. The proposed soft sensors for on-line estimation of the biopolymer concentration represent an interesting alternative to the traditional off-line analytical techniques of limited applicability for real-time process control. Due to the complexity of biochemical reactions, which make it difficult to create reasonably complex first-principle mathematical models, a data-driven
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6

Mihai, Caramihai, and Severin Irina. "Quality Fed-Batch Bioprocess Control A Case Study." August 28, 2009. https://doi.org/10.5281/zenodo.1084734.

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Bioprocesses are appreciated as difficult to control because their dynamic behavior is highly nonlinear and time varying, in particular, when they are operating in fed batch mode. The research objective of this study was to develop an appropriate control method for a complex bioprocess and to implement it on a laboratory plant. Hence, an intelligent control structure has been designed in order to produce biomass and to maximize the specific growth rate.
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7

Mihai, Caramihai, and Severin Irina. "Quality Fed-Batch Bioprocess Control A Case Study." International Journal of Information, Control and Computer Sciences 2.0, no. 8 (2009). https://doi.org/10.5281/zenodo.1335324.

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Abstract:
Bioprocesses are appreciated as difficult to control because their dynamic behavior is highly nonlinear and time varying, in particular, when they are operating in fed batch mode. The research objective of this study was to develop an appropriate control method for a complex bioprocess and to implement it on a laboratory plant. Hence, an intelligent control structure has been designed in order to produce biomass and to maximize the specific growth rate.
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8

Mihai, Caramihai Ana A. Chirvase, and Severin Irina. "Bioprocess Intelligent Control: A Case Study." August 23, 2011. https://doi.org/10.5281/zenodo.1059651.

Full text
Abstract:
Bioprocesses are appreciated as difficult to control because their dynamic behavior is highly nonlinear and time varying, in particular, when they are operating in fed batch mode. The research objective of this study was to develop an appropriate control method for a complex bioprocess and to implement it on a laboratory plant. Hence, an intelligent control structure has been designed in order to produce biomass and to maximize the specific growth rate.
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9

Ivušić, Franjo, Tonci Rezic, and Božidar Šantek. "Heterotrophic Cultivation of Euglena gracilis in Stirred Tank Bioreactor: A Promising Bioprocess for Sustainable Paramylon Production." Molecules 27, no. 18 (2022). https://doi.org/10.3390/molecules27185866.

Full text
Abstract:
Paramylon is a valuable intracellular product of the microalgae Euglena gracilis, and it can accumulate in Euglena cells according to the cultivation conditions. For the sustainable production of paramylon and appropriate cell growth, different bioreactor processes and industrial byproducts can be considered as substrates. In this study, a complex medium with corn steep solid (CSS) was used, and various bioreactor processes (batch, fed batch, semicontinuous and continuous) were performed in order to maximize paramylon production in the microalgae Euglena gracilis. Compared
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10

Jianwen, Yang, Chen Xiangguang, and Jin Huaiping. "Online prediction for contamination of chlortetracycline fermentation based on Dezert–Smarandache theory." March 13, 2015. https://doi.org/10.5281/zenodo.32225.

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Fermentative production of chlortetracycline is a complex fed-batch bioprocess. It generally takes over 90 h for cultivation and is often contaminated by undesired microorganisms. Once the fermentation system is contaminated to certain extent, the product quality and yieldwill be seriously affected, leading to a substantial economic loss.
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Conference papers on the topic "Complex fed-batch bioprocess"

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Šormaz, Dušan, Saruda Seeharit, Boonserm Kulvatunyou, and Miloš Drobnjaković. "A Basic Formal Ontology-Based Ontological Modeling for Plan and Occurrence, a Biomanufacturing Process Verification Use Case." In ASME 2024 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2024. http://dx.doi.org/10.1115/detc2024-143710.

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Abstract Biomanufacturing has gained significant importance in recent years due to its role in developing new medications, handling pandemics, and increasing the well-being of human populations. The nature of biochemical processes requires complex planning and control, with many controlled and non-controllable variables that impact the quality of bioproducts. Representing biomanufacturing process knowledge, control models, and actual occurrences in coherent ontologies could aid both humans and computers in dealing with the complexity. However, there is a lack of such coherent ontologies. Even
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