Modeling and optimization of sporulation by Bacillus licheniformis BF-002 based on dynamics and recurrent neural networks
Copyright © 2024. Published by Elsevier Ltd..
Bacillus licheniformis is widely utilized in disease prevention and environmental remediation. Spore quantity is a critical factor in determining the quality of microbiological agents containing vegetative cells. To improve the understanding of Bacillus licheniformis BF-002 strain culture, a hybrid model integrating traditional dynamic modeling and recurrent neural network was developed. This model enabled the optimization of carbon/nitrogen source feeding rates, pH, temperature and agitation speed using genetic algorithms. Carbon and nitrogen source consumption in the optimal duplicate batches showed no significant difference compared to the control batch. However, the spore quantity in the broth increased by 16.2% and 35.2% in the respective duplicate batches. Overall, the hybrid model outperformed the traditional dynamic model in accurately tracking the cultivation dynamics of Bacillus licheniformis, leading to increased spore production when used for optimizing cultivation conditions.
| Medienart: |
E-Artikel |
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| Erscheinungsjahr: |
2024 |
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| Erschienen: |
2024 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:398 |
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| Enthalten in: |
Bioresource technology - 398(2024) vom: 15. März, Seite 130534 |
| Sprache: |
Englisch |
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| Beteiligte Personen: |
Ding, Jian [VerfasserIn] |
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| Links: |
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| Themen: |
7440-44-0 |
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| Anmerkungen: |
Date Completed 19.03.2024 Date Revised 19.03.2024 published: Print-Electronic Citation Status MEDLINE |
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| doi: |
10.1016/j.biortech.2024.130534 |
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| funding: |
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| Förderinstitution / Projekttitel: |
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NLM369427041 |
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| 520 | |a Copyright © 2024. Published by Elsevier Ltd. | ||
| 520 | |a Bacillus licheniformis is widely utilized in disease prevention and environmental remediation. Spore quantity is a critical factor in determining the quality of microbiological agents containing vegetative cells. To improve the understanding of Bacillus licheniformis BF-002 strain culture, a hybrid model integrating traditional dynamic modeling and recurrent neural network was developed. This model enabled the optimization of carbon/nitrogen source feeding rates, pH, temperature and agitation speed using genetic algorithms. Carbon and nitrogen source consumption in the optimal duplicate batches showed no significant difference compared to the control batch. However, the spore quantity in the broth increased by 16.2% and 35.2% in the respective duplicate batches. Overall, the hybrid model outperformed the traditional dynamic model in accurately tracking the cultivation dynamics of Bacillus licheniformis, leading to increased spore production when used for optimizing cultivation conditions | ||
| 650 | 4 | |a Journal Article | |
| 650 | 4 | |a Bacillus licheniformis | |
| 650 | 4 | |a Hybrid modeling | |
| 650 | 4 | |a Process optimization | |
| 650 | 4 | |a Spore | |
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| 700 | 1 | |a Liu, Qingyuan |e verfasserin |4 aut | |
| 700 | 1 | |a Hou, Wenbiao |e verfasserin |4 aut | |
| 700 | 1 | |a Cai, Jun |e verfasserin |4 aut | |
| 700 | 1 | |a Lu, Cheng |e verfasserin |4 aut | |
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