Optimisation of agitation and aeration in fermenters

Alves, Sebastião S.; Vasconcelos, Jorge

doi:10.1007/bf00369428

Cited by 11 publications

(14 citation statements)

References 5 publications

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“…where F G is air volumetric flowrate and V L is the working volume of the bioreactor. The correlation relationship between k L a and agitator mechanical power input in the gassed bioreactor (Pag) and air superficial velocity (v s ) is given by Equation (19). This equation was used to calculate Pag in the mathematical simulations:…”

Section: Of 19mentioning

confidence: 99%

“…The values of the constants were K = 0.026, n 1 = 0.4 and n 2 = 0.5 and these were obtained from van't Riet [29]. Equation (19) is an important correlation and the values of the constants in this equation should be experimentally evaluated in the application of this modelling approach to a real bioreaction. Furthermore, the size of the bioreactor volume may influence the values of constants in Equation (19).…”

Section: Of 19mentioning

confidence: 99%

“…Equation (19) is an important correlation and the values of the constants in this equation should be experimentally evaluated in the application of this modelling approach to a real bioreaction. Furthermore, the size of the bioreactor volume may influence the values of constants in Equation (19). Even though the bioreactor volume changes in this study, a simplifying assumption is made that the values of the constants do not vary in Equation (19).…”

Section: Of 19mentioning

confidence: 99%

“…Furthermore, the size of the bioreactor volume may influence the values of constants in Equation (19). Even though the bioreactor volume changes in this study, a simplifying assumption is made that the values of the constants do not vary in Equation (19). However, in the application of the mathematical approach to a real bioreactor, some work should also be undertaken to investigate how scale-up influences these constants.…”

Section: Of 19mentioning

confidence: 99%

“…Even though there is much work presented on oxygen transfer and bioreaction dynamics in the literature, there is little presented on the application of mathematical modelling to analysing energy requirements in bioreactors and how this may interact with other key process design output variables, such as the size of the bioreactor. Alves and Vasconcelos [19] showed energy savings of 10 to 20% could be achieved by applying a mathematical optimisation procedure to aerobic bioreactions. Kreyenschulte et al [20] developed a computation tool to assess the energy demand at large-scale based on small-scale data.…”

Section: Introductionmentioning

confidence: 99%

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Insights from Mathematical Modelling into Energy Requirement and Process Design of Continuous and Batch Stirred Tank Aerobic Bioreactors

Fitzpatrick

2019

ChemEngineering

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Bioreaction kinetics, oxygen transfer and energy modelling were applied to stirred tank aerobic bioreactors. This was done to investigate how key input design variables influence bioreactor size, feed and wasted substrate, and electrical energy requirements for aeration and cooling, and to compare batch and continuous modes of operation. Oxygen concentration in the liquid is a key input design variable, but its selection is challenging as it can result in design trade-offs. Reducing its value caused a decrease in electrical energy requirement, however this tended to increase the working volume of the bioreactor. The minimum or near-to-minimum total energy requirement for oxygen transfer occurred when operating at the onset of flooding throughout the bioreaction time. For typical K S values, continuous mode of operation required a much smaller bioreactor volume, due to higher operating cell concentration, and this is a major advantage of continuous over batch.

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Section: Of 19mentioning

confidence: 99%

Section: Of 19mentioning

confidence: 99%

Section: Of 19mentioning

confidence: 99%

Section: Of 19mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Insights from Mathematical Modelling into Energy Requirement and Process Design of Continuous and Batch Stirred Tank Aerobic Bioreactors

Fitzpatrick

2019

ChemEngineering

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From Gene to Product: the Advantage of Integrative Biotechnology

Schmidt

2010

Pharmaceutical Sciences Encyclopedia

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Biotechnology is gaining in increasing importance in pharmaceutical production processes by replacing chemical production procedures for economical and ecological reasons and in the development and commercialization of novel therapeutic principles. To fully exploit the potential of biotechnological production methods, an integrated process design will be necessary considering the downstream processing requirement during the design of upstream operations and vice versa. This chapter aims is to give insights into the typical issues and problems encountered in the manufacture of biopharmaceuticals, to mediate general ideas and current strategies on how to proceed in the design and development of biotechnological processes.

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Optimization and scale up of industrial fermentation processes

2005

Appl Microbiol Biotechnol

275

136

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To increase product yields and to ensure consistent product quality, key issues of industrial fermentations, process optimization and scale up are aimed at maintaining optimum and homogenous reaction conditions minimizing microbial stress exposure and enhancing metabolic accuracy. For each individual product, process and facility, suitable strategies have to be elaborated by a comprehensive and detailed process characterization, identification of the most relevant process parameters influencing product yield and quality and their establishment as scale-up parameters to be kept constant as far as possible. Physical variables, which can only be restrictedly kept constant as single parameters, may be combined with other pertinent parameters to appropriate mathematical groups or dimensionless terms. Process characterization is preferably based on real-time or near real-time data collected by in situ and on-line measurements and may be facilitated by supportive approaches and tools like neural network based chemometric data analysis and modelling, clarification of the mixing and stream conditions through computational fluid dynamics and scale-down simulations. However, as fermentation facilities usually are not strictly designed according to scale-up criteria and the process conditions in the culture vessels thus may differ significantly and since any strategy and model can only insufficiently consider and reflect the highly complex interdependence and mutual interaction of fermentation parameters, successful scale up in most cases is not the result of a conclusive and straight-lined experimental strategy, but rather will be the outcome of a separate process development and optimization on each scale. This article gives an overview on the problems typically coming along with fermentation process optimization and scale up, and presents currently applied scale-up strategies while considering future technologies, with emphasis on Escherichia coli as one of the most commonly fermented organisms.

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Optimisation of agitation and aeration in fermenters

Cited by 11 publications

References 5 publications

Insights from Mathematical Modelling into Energy Requirement and Process Design of Continuous and Batch Stirred Tank Aerobic Bioreactors

Insights from Mathematical Modelling into Energy Requirement and Process Design of Continuous and Batch Stirred Tank Aerobic Bioreactors

From Gene to Product: the Advantage of Integrative Biotechnology

Optimization and scale up of industrial fermentation processes

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