ISSN 2285-1364, ISSN CD-ROM 2285-5521, ISSN ONLINE 2285-1372, ISSN-L 2285-1364
 

OBTAINING GROWTH CURVES FOR Scheffersomyces stipitis STRAINS AND THEIR MODELING

Published in Scientific Bulletin. Series F. Biotechnologies, Vol. XX
Written by Mustafa GERMEC, Fatma Kubra KARTAL, Hazal GULDALI, Merve BILGIC, Asli ISCI, Irfan TURHAN

Growth curves are used in a wide range of applications such as crop science and biotechnology. Besides, mathematical models for fermentation can provide more information about kinetic of cell growth, and also promote the control and optimization of cell growth during fermentation. The main objectives of this study were undertaken not only plotted the cell growth curves, determined the specific growth equations, and calculated the kinetic parameters belong to Scheffersomyces stipitis strains (ATCC 58784 and 58785) but also to modelled their cell growths by using modified logistic and modified Richards models. The results indicated that the specific growth curves of ATCC 58784 in glucose and xylose mediums were y=0.3047×Abs600-0.2656 and y=0.2322×Abs600+0.4329, respectively. For ATCC 58785, they were y=0.2639×Abs600+0.0282 and y=0.2323×Abs600+0.6211, respectively. Furthermore, for ATCC 58784, maximum growth rate and doubling time values in glucose and xylose media were 0.23, 0.11 g/L/h and 2.45, 8.58 h, respectively. For ATCC 58785, they were 0.33, 0.11 g/L/h and 2.51, 7.66 h, respectively. In addition, modified logistic and modified Richards models were tested in order to describe cell growth profiles during fermentation by S. stipitis strains. Results indicated that these models can serve as a universal equation to fit cell growth. Moreover, validation of these models demonstrated that cell growth was all predicted accurately (slope=0.96 and 0.97, R2=0.998 and 0.998 for ATCC 58784 in xylose media by modified logistic and modified Richards models, respectively; slope=1.01 and 1.01, R2=0.995 and 0.995 for ATCC 58785 in xylose media by modified logistic and modified Richards models, respectively).

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