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Fermentation 2015, 1(1), 86-97; doi:10.3390/fermentation1010086

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

1
Visiting Scientist (UNCP), Division of Food Science & Post harvest Technology, NRL Building 3rd Floor, Pusa campus, Indian Agricultural Research Institute, New Delhi 110012, India
2
Head, Division of Forecasting and Agricultural Systems Modeling, Indian Agricultural Statistics Research Institute, Library Avenue, Pusa, New Delhi 110012, India
3
Department of Chemistry and Physics, PO Box 1510, Pembroke, NC 28372, USA
These authors contributed equally to this work.
*
Author to whom correspondence should be addressed.
Academic Editor: Hiroshi Kitagaki
Received: 15 June 2015 / Revised: 20 October 2015 / Accepted: 22 October 2015 / Published: 29 October 2015
(This article belongs to the Special Issue Beneficial Fermentation Microbes and Their Functional Compounds)
View Full-Text   |   Download PDF [799 KB, uploaded 29 October 2015]   |  

Abstract

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. View Full-Text
Keywords: Lactococcus lactis; specific growth rate; lag time; Gompertz; Logistic; Richards; growth modeling Lactococcus lactis; specific growth rate; lag time; Gompertz; Logistic; Richards; growth modeling
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Singh, S.; Singh, K.N.; Mandjiny, S.; Holmes, L. Modeling the Growth of Lactococcus lactis NCIM 2114 under Differently Aerated and Agitated Conditions in Broth Medium. Fermentation 2015, 1, 86-97.

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