Modeling and Optimization of Gas Sparging-Assisted Bacterial Cultivation Broth Microfiltration by Response Surface Methodology and Genetic Algorithm
Production of highly efficient biomass-based microbial biopesticides significantly depends on downstream processing in terms of obtaining as high concentration of viable cells as possible. Microfiltration is one of the recommended operations for microbial biomass separation, but its main limitation...
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MDPI AG
2021-09-01
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| Series: | Membranes |
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| Online Access: | https://www.mdpi.com/2077-0375/11/9/681 |
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doaj-e79a0bc169af4bd08093f23ad28e318d2021-09-26T00:40:20ZengMDPI AGMembranes2077-03752021-09-011168168110.3390/membranes11090681Modeling and Optimization of Gas Sparging-Assisted Bacterial Cultivation Broth Microfiltration by Response Surface Methodology and Genetic AlgorithmAleksandar Jokić0Ivana Pajčin1Nataša Lukić2Vanja Vlajkov3Arpad Kiralj4Selena Dmitrović5Jovana Grahovac6Faculty of Technology Novi Sad, University of Novi Sad, Bulevar cara Lazara 1, 21000 Novi Sad, SerbiaFaculty of Technology Novi Sad, University of Novi Sad, Bulevar cara Lazara 1, 21000 Novi Sad, SerbiaFaculty of Technology Novi Sad, University of Novi Sad, Bulevar cara Lazara 1, 21000 Novi Sad, SerbiaFaculty of Technology Novi Sad, University of Novi Sad, Bulevar cara Lazara 1, 21000 Novi Sad, SerbiaFaculty of Technology Novi Sad, University of Novi Sad, Bulevar cara Lazara 1, 21000 Novi Sad, SerbiaFaculty of Technology Novi Sad, University of Novi Sad, Bulevar cara Lazara 1, 21000 Novi Sad, SerbiaFaculty of Technology Novi Sad, University of Novi Sad, Bulevar cara Lazara 1, 21000 Novi Sad, SerbiaProduction of highly efficient biomass-based microbial biopesticides significantly depends on downstream processing in terms of obtaining as high concentration of viable cells as possible. Microfiltration is one of the recommended operations for microbial biomass separation, but its main limitation is permeate flux decrease due to the membrane fouling. The effect of air sparging as a hydrodynamic technique for improvement of permeate flux during microfiltration of <i>Bacillus velezensis</i> cultivation broth was investigated. Modeling of the microfiltration was performed using the response surface methodology, while desirability function approach and genetic algorithm were applied for optimization, i.e., maximization of permeate flux and minimization of specific energy consumption. The results have revealed antagonistic relationship between the investigated dependent variables. The optimized values of superficial feed velocity and transmembrane pressure were close to the mean values of the investigated value ranges (0.68 bar and 0.96 m/s, respectively), while the optimized value of superficial air velocity had a more narrow distribution around 0.25 m/s. The results of this study have revealed a significant improvement of microfiltration performance by applying air sparging, thus this flux improvement method should be further investigated in downstream processing of different bacterial cultivation broths.https://www.mdpi.com/2077-0375/11/9/681microfiltrationgas spargingresponse surface methodologydesirability functiongenetic algorithmpermeate flux |
| collection |
DOAJ |
| language |
English |
| format |
Article |
| sources |
DOAJ |
| author |
Aleksandar Jokić Ivana Pajčin Nataša Lukić Vanja Vlajkov Arpad Kiralj Selena Dmitrović Jovana Grahovac |
| spellingShingle |
Aleksandar Jokić Ivana Pajčin Nataša Lukić Vanja Vlajkov Arpad Kiralj Selena Dmitrović Jovana Grahovac Modeling and Optimization of Gas Sparging-Assisted Bacterial Cultivation Broth Microfiltration by Response Surface Methodology and Genetic Algorithm Membranes microfiltration gas sparging response surface methodology desirability function genetic algorithm permeate flux |
| author_facet |
Aleksandar Jokić Ivana Pajčin Nataša Lukić Vanja Vlajkov Arpad Kiralj Selena Dmitrović Jovana Grahovac |
| author_sort |
Aleksandar Jokić |
| title |
Modeling and Optimization of Gas Sparging-Assisted Bacterial Cultivation Broth Microfiltration by Response Surface Methodology and Genetic Algorithm |
| title_short |
Modeling and Optimization of Gas Sparging-Assisted Bacterial Cultivation Broth Microfiltration by Response Surface Methodology and Genetic Algorithm |
| title_full |
Modeling and Optimization of Gas Sparging-Assisted Bacterial Cultivation Broth Microfiltration by Response Surface Methodology and Genetic Algorithm |
| title_fullStr |
Modeling and Optimization of Gas Sparging-Assisted Bacterial Cultivation Broth Microfiltration by Response Surface Methodology and Genetic Algorithm |
| title_full_unstemmed |
Modeling and Optimization of Gas Sparging-Assisted Bacterial Cultivation Broth Microfiltration by Response Surface Methodology and Genetic Algorithm |
| title_sort |
modeling and optimization of gas sparging-assisted bacterial cultivation broth microfiltration by response surface methodology and genetic algorithm |
| publisher |
MDPI AG |
| series |
Membranes |
| issn |
2077-0375 |
| publishDate |
2021-09-01 |
| description |
Production of highly efficient biomass-based microbial biopesticides significantly depends on downstream processing in terms of obtaining as high concentration of viable cells as possible. Microfiltration is one of the recommended operations for microbial biomass separation, but its main limitation is permeate flux decrease due to the membrane fouling. The effect of air sparging as a hydrodynamic technique for improvement of permeate flux during microfiltration of <i>Bacillus velezensis</i> cultivation broth was investigated. Modeling of the microfiltration was performed using the response surface methodology, while desirability function approach and genetic algorithm were applied for optimization, i.e., maximization of permeate flux and minimization of specific energy consumption. The results have revealed antagonistic relationship between the investigated dependent variables. The optimized values of superficial feed velocity and transmembrane pressure were close to the mean values of the investigated value ranges (0.68 bar and 0.96 m/s, respectively), while the optimized value of superficial air velocity had a more narrow distribution around 0.25 m/s. The results of this study have revealed a significant improvement of microfiltration performance by applying air sparging, thus this flux improvement method should be further investigated in downstream processing of different bacterial cultivation broths. |
| topic |
microfiltration gas sparging response surface methodology desirability function genetic algorithm permeate flux |
| url |
https://www.mdpi.com/2077-0375/11/9/681 |
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