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Analysis of batch and repeated fedbatch productions of Candida utilis cell mass using mathematical modeling method.

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Title: Analysis of batch and repeated fedbatch productions of Candida utilis cell mass using mathematical modeling method.
Authors: Yutian Lin1, Guoli Liu2,3, Huibin Lin4, Ling Gao5 gaoling33@hotmail.com, Jianqiang Lin2
Source: Electronic Journal of Biotechnology. 2013, Vol. 16 Issue 4, p1-8. 8p.
Subjects: Candida utilis, Mathematical models, Cost effectiveness, Industrial costs, Batch processing, Process optimization
Abstract: Background: Candida utilis is widely used in bioindustry, and its cell mass needs to be produced in a cost effective way. Process optimization based on the experimental results is the major way to reduce the production cost. However, this process is expensive, time consuming and labor intensive. Mathematical modeling is a useful tool for process analysis and optimization. Furthermore, sufficient information can be obtained with fewer experiments by using the mathematical modeling, and some results can be predicted even without doing experiments. Results: In the present study, we performed the mathematical modeling and simulation for the cell mass production of Candida utilis based on limited batch and repeated fedbatch experiments. The model parameters were optimized using genetic algorithm (GA), and the processes were analyzed. Conclusions: Taken together, this newly developed method is efficient, labor saving and cost effective. [ABSTRACT FROM AUTHOR]
Copyright of Electronic Journal of Biotechnology is the property of Pontificia Universidad Catolica de Valparaiso and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
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  Data: Analysis of batch and repeated fedbatch productions of Candida utilis cell mass using mathematical modeling method.
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  Data: <searchLink fieldCode="AR" term="%22Yutian+Lin%22">Yutian Lin</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Guoli+Liu%22">Guoli Liu</searchLink><relatesTo>2,3</relatesTo><br /><searchLink fieldCode="AR" term="%22Huibin+Lin%22">Huibin Lin</searchLink><relatesTo>4</relatesTo><br /><searchLink fieldCode="AR" term="%22Ling+Gao%22">Ling Gao</searchLink><relatesTo>5</relatesTo><i> gaoling33@hotmail.com</i><br /><searchLink fieldCode="AR" term="%22Jianqiang+Lin%22">Jianqiang Lin</searchLink><relatesTo>2</relatesTo>
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  Data: <searchLink fieldCode="JN" term="%22Electronic+Journal+of+Biotechnology%22">Electronic Journal of Biotechnology</searchLink>. 2013, Vol. 16 Issue 4, p1-8. 8p.
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  Data: <searchLink fieldCode="DE" term="%22Candida+utilis%22">Candida utilis</searchLink><br /><searchLink fieldCode="DE" term="%22Mathematical+models%22">Mathematical models</searchLink><br /><searchLink fieldCode="DE" term="%22Cost+effectiveness%22">Cost effectiveness</searchLink><br /><searchLink fieldCode="DE" term="%22Industrial+costs%22">Industrial costs</searchLink><br /><searchLink fieldCode="DE" term="%22Batch+processing%22">Batch processing</searchLink><br /><searchLink fieldCode="DE" term="%22Process+optimization%22">Process optimization</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Background: Candida utilis is widely used in bioindustry, and its cell mass needs to be produced in a cost effective way. Process optimization based on the experimental results is the major way to reduce the production cost. However, this process is expensive, time consuming and labor intensive. Mathematical modeling is a useful tool for process analysis and optimization. Furthermore, sufficient information can be obtained with fewer experiments by using the mathematical modeling, and some results can be predicted even without doing experiments. Results: In the present study, we performed the mathematical modeling and simulation for the cell mass production of Candida utilis based on limited batch and repeated fedbatch experiments. The model parameters were optimized using genetic algorithm (GA), and the processes were analyzed. Conclusions: Taken together, this newly developed method is efficient, labor saving and cost effective. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Electronic Journal of Biotechnology is the property of Pontificia Universidad Catolica de Valparaiso and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.2225/vol16-issue4-fulltext-2
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      – Code: eng
        Text: English
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        PageCount: 8
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      – SubjectFull: Candida utilis
        Type: general
      – SubjectFull: Mathematical models
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      – SubjectFull: Cost effectiveness
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      – SubjectFull: Industrial costs
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      – SubjectFull: Batch processing
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      – SubjectFull: Process optimization
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            NameFull: Huibin Lin
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            NameFull: Jianqiang Lin
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              M: 07
              Text: 2013
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