An artificial intelligence tool for bioprocess monitoring: application to continuous production of gluconic acid by immobilized Aspergillus niger
Metadata of CSIR Papers
View Archive Info| Field | Value | |
| Title |
An artificial intelligence tool for bioprocess monitoring: application to continuous production of gluconic acid by immobilized Aspergillus niger
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| Creator |
Sankpal, NV
Cheema, JJS Tambe, SS Kulkarni, BD |
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| Subject |
Biotechnology & Applied Microbiology
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| Description |
Experimental data on continuous fermentation of sucrose and glucose solution at low pH to gluconic acid by Asprgillus niger immobilized on cellulose fabric show complex dynamic behaviour including a decline in yield. The data have been analyzed using an artificial intelligence based symbolic regression technique to provide a mathematical model for predicting values of conversion 5, 10 and 15 h ahead values of conversion. These predictions can be used during continuous operations to monitor the bioprocess and adjust the residence time of fermentation to get complete and more efficient conversion of sucrose or glucose to gluconic acid.
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| Publisher |
KLUWER ACADEMIC PUBLDORDRECHTSPUIBOULEVARD 50, PO BOX 17, 3300 AA DORDRECHT, NETHERLANDS
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| Date |
2011-09-24T08:39:08Z
2011-09-24T08:39:08Z 2001 |
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| Type |
Article
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| Identifier |
BIOTECHNOLOGY LETTERS
0141-5492 http://hdl.handle.net/123456789/24062 |
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| Language |
English
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