Modeling the Growth of Lactococcus lactis NCIM 2114 under Differently Aerated and Agitated Conditions in Broth Medium

Fermentation

Sunita Singh²  Kamalesh N. Singh¹  Siva Mandjiny³  Leonard Holmes³ 

[1] Head, Division of Forecasting and Agricultural Systems Modeling, Indian Agricultural Statistics Research Institute, Library Avenue, Pusa, New Delhi 110012, India; E-Mail:;Visiting Scientist (UNCP), Division of Food Science & Post harvest Technology, NRL Building 3rd Floor, Pusa campus, Indian Agricultural Research Institute, New Delhi 110012, India;Department of Chemistry and Physics, PO Box 1510, Pembroke, NC 28372, USA; E-Mails:

关键词: Lactococcus lactis;    specific growth rate;    lag time;    Gompertz;    Logistic;    Richards;    growth modeling;   

DOI  :  10.3390/fermentation1010086

来源: mdpi

【 摘 要 】

The study of growth of Lactococcus lactis NCIM 2114, a nisin producer, was modeled using continuously generated concentration data for growth in fermenter. The sigmoidal growth functions, Logistic, Gompertz, and Richards were used to fit the data. A nonlinear regression method was used to fit the data and estimate growth parameter values of L. lactis, using Marquardt algorithm with Statistical Software SPSS, version 20. Bacterial growth data from the exponential phase of the bacteria’s growth was analyzed. An F test showed that the Gompertz and Logistic functions were acceptable 92% and 67% of times respectively in the batch fermenter runs where this particular application was used to derive the lag time, growth rates, and time to maximum growth rates of L. lactis. The maximal specific growth rate ranged between 0.23 h⁻¹ to 0.30 h⁻¹ and the lag time lasted up to a maximum of 1.63 h depending upon aeration conditions provided to the organism. This study will help to estimate specific growth rates and lag time of L. lactis under different growth conditions. Predicted values can be accurately determined.

【 授权许可】

CC BY   
© 2015 by the authors; licensee MDPI, Basel, Switzerland.