Title of article :
Predictive modeling of biomass production by Chlorella vulgaris in a drafttube airlift photobioreactor
Author/Authors :
Mansouri، Mohsen نويسنده Department of Chemical Engineerin,Ilam University,Ilam,Iran ,
Issue Information :
فصلنامه با شماره پیاپی سال 2016
Pages :
8
From page :
119
To page :
126
Abstract :
The objective of this study was to investigate the growth rate of Chlorella vulgaris for CO2 biofixation and biomass production. Six mathematical growth models (Logistic, Gompertz, modified Gompertz, Baranyi, Morgan and Richards) were used to evaluate the biomass productivity in continuous processes and to predict the following parameters of cell growth: lag phase duration (λ), maximum specific growth rate (μmax), and maximum cell concentration (Xmax). The low rootmeansquare error (RMSE) and high regression coefficients (R2) indicated that the models employed were well fitted to the experiment data and it could be regarded as enough to describe biomass production. Using statistical and physiological significance criteria, the Baranyi model was considered the most appropriate for quantifying biomass growth. The biological variables of this model are as follows: μmax=0.0309 h^−1, λ=100 h, and Xmax=1.82 g/L.
Keywords :
CHLORELLA VULGARIS , CO2 , photobioreactor , Predictive modeling
Journal title :
advances in Environmental Technology
Serial Year :
2016
Journal title :
advances in Environmental Technology
Record number :
2403883
Link To Document :
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