Barth, G. and Gaillardin, C. (1996) Yarrowia lipolytica in: nonconventional yeasts in biotechnology (Wolf, K., Ed.), A Handbook, Springer, Berlin, Heidelberg, New York, pp. 313-388.
has been cited by the following article:
TITLE: Growth rate data fitting of Yarrowia lipolytica NCIM 3589 using logistic equation and artificial neural networks
AUTHORS: Sarat Babu Imandi, Sita Kumari Karanam, Surekha Darsipudi, Hanumantha Rao Garapati
KEYWORDS: Yarrowia lipolytica; Logistic Equation; Artificial Neural Networks
JOURNAL NAME: Advances in Bioscience and Biotechnology, Vol.1 No.1, April 22, 2010
ABSTRACT: 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.