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Growth Dynamics of Lactococcus lactis SQ117 under Different Temperatures and pHs

ZHOU Kang, WEI Jun, JIANG Cui-lian, HAN Xin-feng, LIU Shu-liang   

  1. College of Food Science, Sichuan Agricultural University, Ya’an 625014, China
  • Online:2014-04-15 Published:2014-04-18

Abstract:

In this study, we used the isolated strain from fermented milk, which was identified as Lactococcus lactis SQ117,to study its dynamic growth under different temperatures and pH values. We used DMFit web-edition, which is basedon the Baranyi model, to establish the primary model, and Ratkowsky model was applied for the secondary model. Bothmodels were validated. The results showed that this DMFit software simulated the growth curve with an excellent goodnessof-fit indicating that DMFit is a functional and handy software. Furthermore, we also found that the theory of predictivemicrobiology had a good potential to describe the growth of lactic acid bacteria.

Key words: predictive microbiology, DMFit web-edition, temperature, pH, Lactococcus lactis