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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]
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Database: Engineering Source
Description
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]
ISSN:09608524
DOI:10.1016/j.biortech.2016.07.063