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Kinetic modeling of growth and lipid body induction in Chlorella pyrenoidosa under heterotrophic conditions.

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Title: Kinetic modeling of growth and lipid body induction in Chlorella pyrenoidosa under heterotrophic conditions.
Authors: Sachdeva, Neha1, Kumar, G. Dinesh2, Gupta, Ravi Prakash3 guptarp1@indianoil.in, Mathur, Anshu Shankar3, Manikandan, B.2, Basu, Biswajit1, Tuli, Deepak Kumar1
Source: Bioresource Technology. Oct2016, Vol. 218, p934-943. 10p.
Subjects: Chlorella pyrenoidosa, Lipids, Biomass, Algal growth, Nitrates, Bioaccumulation
Abstract: The aim of the present work was to develop a mathematical model to describe the biomass and (total) lipid productivity of Chlorella pyrenoidosa NCIM 2738 under heterotrophic conditions. Biomass growth rate was predicted by Droop’s cell quota model, while changes observed in cell quota (utilization) under carbon excess conditions were used for the modeling and predicting the lipid accumulation rate. The model was simulated under non-limiting (excess) carbon and limiting nitrate concentration and validated with experimental data for the culture grown in batch (flask) mode under different nitrate concentrations. The present model incorporated two modes (growth and stressed) for the prediction of endogenous lipid synthesis/induction and aimed to predict the effect and response of the microalgae under nutrient starvation (stressed) conditions. MATLAB and Genetic Algorithm were employed for the prediction and validation of the model parameters. [ABSTRACT FROM AUTHOR]
Copyright of Bioresource Technology is the property of Elsevier B.V. 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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DbLabel: Engineering Source
An: 117475643
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PubTypeId: academicJournal
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  Data: Kinetic modeling of growth and lipid body induction in Chlorella pyrenoidosa under heterotrophic conditions.
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  Data: <searchLink fieldCode="AR" term="%22Sachdeva%2C+Neha%22">Sachdeva, Neha</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Kumar%2C+G%2E+Dinesh%22">Kumar, G. Dinesh</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AR" term="%22Gupta%2C+Ravi+Prakash%22">Gupta, Ravi Prakash</searchLink><relatesTo>3</relatesTo><i> guptarp1@indianoil.in</i><br /><searchLink fieldCode="AR" term="%22Mathur%2C+Anshu+Shankar%22">Mathur, Anshu Shankar</searchLink><relatesTo>3</relatesTo><br /><searchLink fieldCode="AR" term="%22Manikandan%2C+B%2E%22">Manikandan, B.</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AR" term="%22Basu%2C+Biswajit%22">Basu, Biswajit</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Tuli%2C+Deepak+Kumar%22">Tuli, Deepak Kumar</searchLink><relatesTo>1</relatesTo>
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  Data: <searchLink fieldCode="JN" term="%22Bioresource+Technology%22">Bioresource Technology</searchLink>. Oct2016, Vol. 218, p934-943. 10p.
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  Data: <searchLink fieldCode="DE" term="%22Chlorella+pyrenoidosa%22">Chlorella pyrenoidosa</searchLink><br /><searchLink fieldCode="DE" term="%22Lipids%22">Lipids</searchLink><br /><searchLink fieldCode="DE" term="%22Biomass%22">Biomass</searchLink><br /><searchLink fieldCode="DE" term="%22Algal+growth%22">Algal growth</searchLink><br /><searchLink fieldCode="DE" term="%22Nitrates%22">Nitrates</searchLink><br /><searchLink fieldCode="DE" term="%22Bioaccumulation%22">Bioaccumulation</searchLink>
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  Data: The aim of the present work was to develop a mathematical model to describe the biomass and (total) lipid productivity of Chlorella pyrenoidosa NCIM 2738 under heterotrophic conditions. Biomass growth rate was predicted by Droop’s cell quota model, while changes observed in cell quota (utilization) under carbon excess conditions were used for the modeling and predicting the lipid accumulation rate. The model was simulated under non-limiting (excess) carbon and limiting nitrate concentration and validated with experimental data for the culture grown in batch (flask) mode under different nitrate concentrations. The present model incorporated two modes (growth and stressed) for the prediction of endogenous lipid synthesis/induction and aimed to predict the effect and response of the microalgae under nutrient starvation (stressed) conditions. MATLAB and Genetic Algorithm were employed for the prediction and validation of the model parameters. [ABSTRACT FROM AUTHOR]
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  Label:
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  Data: <i>Copyright of Bioresource Technology is the property of Elsevier B.V. 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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RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1016/j.biortech.2016.07.063
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      – Code: eng
        Text: English
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        PageCount: 10
        StartPage: 934
    Subjects:
      – SubjectFull: Chlorella pyrenoidosa
        Type: general
      – SubjectFull: Lipids
        Type: general
      – SubjectFull: Biomass
        Type: general
      – SubjectFull: Algal growth
        Type: general
      – SubjectFull: Nitrates
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      – SubjectFull: Bioaccumulation
        Type: general
    Titles:
      – TitleFull: Kinetic modeling of growth and lipid body induction in Chlorella pyrenoidosa under heterotrophic conditions.
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            NameFull: Sachdeva, Neha
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            NameFull: Kumar, G. Dinesh
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            NameFull: Gupta, Ravi Prakash
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            NameFull: Mathur, Anshu Shankar
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            NameFull: Manikandan, B.
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            NameFull: Basu, Biswajit
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            NameFull: Tuli, Deepak Kumar
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              Text: Oct2016
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              Y: 2016
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              Value: 218
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