Growth rate data fitting of Yarrowia lipolytica NCIM 3589 using logistic equation and artificial neural networks

DOI: 10.4236/abb.2010.11007   PDF   HTML   XML   4,449 Downloads   9,336 Views   Citations


Growth rate of Yarrowia lipolytica NCIM 3589 was observed in a fermentation medium consisting of peptone, yeast extract, sodium chloride. Logistic equation was fitted to the growth data (time vs. biomass concentration) and compared with the prediction given by Artificial Neural Networks (ANN). ANN was found to be superior in describing growth characteristics. A single MATLAB programme is developed to fit the growth data by logistic equation and ANN.

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Imandi, S. , Karanam, S. , Darsipudi, S. and Garapati, H. (2010) Growth rate data fitting of Yarrowia lipolytica NCIM 3589 using logistic equation and artificial neural networks. Advances in Bioscience and Biotechnology, 1, 47-50. doi: 10.4236/abb.2010.11007.

Conflicts of Interest

The authors declare no conflicts of interest.


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