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Impact of bioreactor scale on lovastatin biosynthesis by Aspergillus terreus ATCC 20542 in a batch culture

Marta Pawlak Stanisław Ledakowicz Marcin Bizukojć
Chemical and Process Engineering | 2012 | No 1 March | 71-84 | DOI: 10.2478/v10176-012-0007-0
Keywords lovastatin Aspergillus terreus ATCC 20542 shake flask stirred tank bioreactor batch process
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Abstract

Biosynthesis of lovastatin (a polyketide metabolite of Aspergillus terreus) in bioreactors of different working volume was studied to indicate how the change of scale of the process influences the formation of this metabolite. The experiments conducted in shake flasks of 150 ml working volume allowed to obtain lovastatin titres at the level of 87.5 mg LOV l-1, when two carbon sources, namely lactose and glycerol were used. The application of the same components in a large stirred-tank bioreactor of 5.3-litre working volume caused a decrease of lovastatin production by 87% compared to the shake flask culture. The deficiency of nitrogen in this bioreactor did not favour the formation of lovastatin, in contrast to the small bioreactor of 1.95-litre working volume, in which lovastatin titres comparable to those in the shake flasks could be achieved, when organic nitrogen concentration was two-fold decreased. When the control of pH and/or pO2 was used simultaneously, an increase in lovastatin production was observed in the bioreactors. However, these results were still slightly lower than lovastatin titres obtained in the shake flasks.

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Authors and Affiliations

Marta Pawlak
Stanisław Ledakowicz
Marcin Bizukojć

A study of mixing structure in stirred tanks equipped with multiple four-blade Rushton impellers

Zied Driss Sarhan Karray Wajdi Chtourou Hedi Kchaou Mohamed Salah Abid
Archive of Mechanical Engineering | 2012 | vol. 59 | No 1 | 53-72 | DOI: 10.2478/v10180-012-0004-3
Keywords multiple Rushton impellers four blades six blades stirred tank numerical method modelling
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Abstract

The effect of multiple Rushton impellers configurations on hydrodynamics and mixing performance in a stirred tank has been investigated. Three configurations defined by one, two and three Rushton impellers are compared. Results issued from our computational fluid dynamics (CFD) code are presented here concerning fields of velocity components and viscous dissipation rate. These results confirm that the multi-impellers systems are necessary to decrease the weaken zones in each stirred tanks. The experimental results developed in this work are compared with our numerical results. The good agreement validates the numerical method.

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Authors and Affiliations

Zied Driss
Sarhan Karray
Wajdi Chtourou
Hedi Kchaou
Mohamed Salah Abid

Analysis of liquid blending dynamics with Maxblend impellers by Electrical Resistance Tomography

Suzuka Iwasawa Honami Kubo Katsuhide Takenaka Sandro Pintus Francesco Maluta Giuseppina Montante Alessandro Paglianti
Chemical and Process Engineering | 2021 | vol. 42 | No 3 | 197-207 | DOI: 10.24425/cpe.2021.138925
Keywords Maxblend impeller mixing time Electrical Resistance Tomography stirred tank
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Abstract

The aim of the investigation was liquid mixing time measurement in a laboratory scale stirred tank equipped with a metal Maxblend impeller and comparison with the corresponding mixing time obtained with other conventional impellers. The data are collected by Electrical Resistance Tomography, whose applicability in this case is non-trivial, because of the electrical interferences between the large paddles of the impeller and the measuring system. The raw data treatment methodology purposely developed for obtaining the homogenization dynamics curve is presented.Arobust approach for a fine and lowcost investigation of the mixing performances of close-clearance impellers in opaque systems is suggested. The analysis of the local and averaged conductivity time traces reveals the effect of important variables, such as the fluid viscosity and the vessel configuration, on the mixing time under various agitation conditions. The data collection and post processing procedures open the way to the application of the technique to multiphase and non-Newtonian fluids stirred with close-clearance impellers.
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Bibliography

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Grenville R.K., Nienow A.W., 2004. Blending of miscible liquids, In: Paul E.L., Atiemo-Obeng V.A., Kresta S.M. (Eds.). Handbook of industrial Mixing: Science and practice. John Wiley & Sons, Inc. Chapter 9, 507–542. DOI: 10.1002/0471451452.ch9.
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Hosseini S., Patel D., Ein-Mozaffari F., Mehrvar M., 2010. Study of solid-liquid mixing in agitated tanks through electrical resistance tomography. Chem. Eng. Sci., 65, 1374–1384. DOI: 10.1016/j.ces.2009.10.007.
Jairamdas K., Bhalerao A., Machado M.B., Kresta S.M., 2019. Blend time measurement in the confined impeller stirred tank. Chem. Eng. Technol., 42, 1594–1601. DOI: 10.1002/ceat.201800752.
Maluta F., Montante G., Paglianti A., 2020. Analysis of immiscible liquid-liquid mixing in stirred tanks by Electrical Resistance Tomography. Chem. Eng. Sci., 227, 115898. DOI: 10.1016/j.ces.2020.115898.
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Montante G., Carletti C., Maluta F., Paglianti A., 2019. Solid dissolution and liquid mixing in turbulent stirred tanks. Chem. Eng. Technol., 42 (8), 1627–1634. DOI: 10.1002/ceat.201800726.
Montante G., Coroneo M., Paglianti A., 2016. Blending of miscible liquids with different densities and viscosities in static mixers. Chem. Eng. Sci., 141, 250–260. DOI: 10.1016/j.ces.2015.11.009.
Paglianti A., Carletti C., Montante G., 2017. Liquid mixing time in dense solid-liquid stirred tanks. Chem. Eng. Technol., 40, 862–869. DOI: 10.1002/ceat.201600595.
Patel D., Ein-Mozaffari F., Mehrvar M., 2013. Using tomography to characterize the mixing of non-Newtonian fluids with a Maxblend impeller. Chem. Eng. Technol., 36, 687–695. DOI: 10.1002/ceat.201200425.
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Stobiac V., Fradette L., Tanguy P.A., Bertrand F., 2014. Pumping characterisation of the maxblend impeller for Newtonian and strongly non-Newtonian fluids. Can. J. Chem. Eng., 92, 729–741. DOI: 10.1002/cjce.21906.
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Authors and Affiliations

Suzuka Iwasawa
1
Honami Kubo
1
Katsuhide Takenaka
1
Sandro Pintus
2
Francesco Maluta
3
Giuseppina Montante
3
Alessandro Paglianti
3
  1. Sumitomo Heavy Industries Process Equipment Co., Ltd. 1501, Imazaike, Saijo City, Ehime, Japan
  2. Retired from University of Pisa, Via Giunta Pisano 28, 56126 Pisa, Italy
  3. Department of Industrial Chemistry, University of Bologna, viale Risorgimento 4,40136 Bologna, Italy

Nonlinear PID controller parameter optimization using modified hybrid artificial bee colony algorithm for continuous stirred tank reactor

Nedumal Pugazhenthi P S. Selvaperumal K. Vijayakumar
Bulletin of the Polish Academy of Sciences Technical Sciences | 2021 | 69 | 3 | e137348 | DOI: 10.24425/bpasts.2021.137348
Keywords artificial bee colony stirred tank reactor genetic algorithm nonlinear PID controller performance measures
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Abstract

The artificial bee colony (ABC) algorithm is well known and widely used optimization method based on swarm intelligence, and it is inspired by the behavior of honeybees searching for a high amount of nectar from the flower. However, this algorithm has not been exploited sufficiently. This research paper proposes a novel method to analyze the exploration and exploitation of ABC. In ABC, the scout bee searches for a source of random food for exploitation. Along with random search, the scout bee is guided by a modified genetic algorithm approach to locate a food source with a high nectar value. The proposed algorithm is applied for the design of a nonlinear controller for a continuously stirred tank reactor (CSTR). The statistical analysis of the results confirms that the proposed modified hybrid artificial bee colony (HMABC) achieves consistently better performance than the traditional ABC algorithm. The results are compared with conventional ABC and nonlinear PID (NLPID) to show the superiority of the proposed algorithm. The performance of the HMABC algorithm-based controller is competitive with other state-of-the-art meta-heuristic algorithm-based controllers in the literature.
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Authors and Affiliations

Nedumal Pugazhenthi P
1
S. Selvaperumal
1
ORCID: ORCID
K. Vijayakumar
2
  1. Department of EEE, Syed Ammal Engineering College, Ramanathapuram, Tamilnadu, India
  2. Department of electronics and instrumentation, Dr. Mahalingam College of Engineering and Technology, Pollachi, Tamilnadu, India

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