دورية أكاديمية
Identifyability measures to select the parameters to be estimated in a solid-state fermentation distributed parameter model.
| العنوان: | Identifyability measures to select the parameters to be estimated in a solid-state fermentation distributed parameter model. |
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| المؤلفون: | da Silveira CL; Chemical Engineering Dept., Universidade Federal De Santa Maria, Santa Maria, Brazil., Mazutti MA; Chemical Engineering Dept., Universidade Federal De Santa Maria, Santa Maria, Brazil., Salau NP; Chemical Engineering Dept., Universidade Federal De Santa Maria, Santa Maria, Brazil. |
| المصدر: | Biotechnology progress [Biotechnol Prog] 2016 Jul 08; Vol. 32 (4), pp. 905-17. Date of Electronic Publication: 2016 Jun 03. |
| نوع المنشور: | Journal Article |
| اللغة: | English |
| بيانات الدورية: | Publisher: Wiley-Blackwell Country of Publication: United States NLM ID: 8506292 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1520-6033 (Electronic) Linking ISSN: 15206033 NLM ISO Abbreviation: Biotechnol Prog Subsets: MEDLINE |
| أسماء مطبوعة: | Publication: <2010-> : Hoboken, NJ : Wiley-Blackwell Original Publication: [New York, N.Y. : American Institute of Chemical Engineers, c1985- |
| مواضيع طبية MeSH: | Fermentation* , Models, Biological* |
| مستخلص: | Process modeling can lead to of advantages such as helping in process control, reducing process costs and product quality improvement. This work proposes a solid-state fermentation distributed parameter model composed by seven differential equations with seventeen parameters to represent the process. Also, parameters estimation with a parameters identifyability analysis (PIA) is performed to build an accurate model with optimum parameters. Statistical tests were made to verify the model accuracy with the estimated parameters considering different assumptions. The results have shown that the model assuming substrate inhibition better represents the process. It was also shown that eight from the seventeen original model parameters were nonidentifiable and better results were obtained with the removal of these parameters from the estimation procedure. Therefore, PIA can be useful to estimation procedure, since it may reduce the number of parameters that can be evaluated. Further, PIA improved the model results, showing to be an important procedure to be taken. © 2016 American Institute of Chemical Engineers Biotechnol. Prog., 32:905-917, 2016. (© 2016 American Institute of Chemical Engineers.) |
| فهرسة مساهمة: | Keywords: bioreactor; distributed parameter model; optimization; parameters identifyability analysis and estimation; solid-state fermentation |
| تواريخ الأحداث: | Date Created: 20160511 Date Completed: 20171204 Latest Revision: 20180204 |
| رمز التحديث: | 20240628 |
| DOI: | 10.1002/btpr.2297 |
| PMID: | 27160028 |
| قاعدة البيانات: | MEDLINE |
Full Text Finder | تدمد: | 1520-6033 |
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| DOI: | 10.1002/btpr.2297 |