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Original scientific paper

Predictive modeling of Bifidobacterium animalis subsp. lactis Bb-12 growth in cow’s, goat’s and soy milk

Vedran Slačanac
Mirela Lučan
Jovica Hardi
Kristina Habschied   ORCID icon orcid.org/0000-0001-9404-5688 ; Josip Juraj Strossmayer University of Osijek, Faculty of Food Technology,Department for Food Technology, Kuhačeva 18, 31000 Osijek, Croatia
Vinko Krstanović
Goran Gagula

Fulltext: english, pdf (386 KB) pages 220-227 downloads: 728* cite
APA 6th Edition
Slačanac, V., Lučan, M., Hardi, J., Habschied, K., Krstanović, V. & Gagula, G. (2013). Predictive modeling of Bifidobacterium animalis subsp. lactis Bb-12 growth in cow’s, goat’s and soy milk. Mljekarstvo, 63 (4), 220-227. Retrieved from https://hrcak.srce.hr/111100
MLA 8th Edition
Slačanac, Vedran, et al. "Predictive modeling of Bifidobacterium animalis subsp. lactis Bb-12 growth in cow’s, goat’s and soy milk." Mljekarstvo, vol. 63, no. 4, 2013, pp. 220-227. https://hrcak.srce.hr/111100. Accessed 24 Feb. 2020.
Chicago 17th Edition
Slačanac, Vedran, Mirela Lučan, Jovica Hardi, Kristina Habschied, Vinko Krstanović and Goran Gagula. "Predictive modeling of Bifidobacterium animalis subsp. lactis Bb-12 growth in cow’s, goat’s and soy milk." Mljekarstvo 63, no. 4 (2013): 220-227. https://hrcak.srce.hr/111100
Harvard
Slačanac, V., et al. (2013). 'Predictive modeling of Bifidobacterium animalis subsp. lactis Bb-12 growth in cow’s, goat’s and soy milk', Mljekarstvo, 63(4), pp. 220-227. Available at: https://hrcak.srce.hr/111100 (Accessed 24 February 2020)
Vancouver
Slačanac V, Lučan M, Hardi J, Habschied K, Krstanović V, Gagula G. Predictive modeling of Bifidobacterium animalis subsp. lactis Bb-12 growth in cow’s, goat’s and soy milk. Mljekarstvo [Internet]. 2013 [cited 2020 February 24];63(4):220-227. Available from: https://hrcak.srce.hr/111100
IEEE
V. Slačanac, M. Lučan, J. Hardi, K. Habschied, V. Krstanović and G. Gagula, "Predictive modeling of Bifidobacterium animalis subsp. lactis Bb-12 growth in cow’s, goat’s and soy milk", Mljekarstvo, vol.63, no. 4, pp. 220-227, 2013. [Online]. Available: https://hrcak.srce.hr/111100. [Accessed: 24 February 2020]

Abstracts
The aim of this study was to use a predictive model to analyse the growth of a probiotic strain Bifidobacterium animalis subsp. lactis Bb-12 in cow’s, goat’s and soy milk. The Gompertz model was used, and the suitability of the model was estimated by the Schnute algorithm. Except for the analysis of Bifidobacterium animalis subsp. lactis Bb-12 growth, the Gompertz model was also used for the analysis of pH changes during the fermentation process. Experimental results, as well as the values of kinetic parameters obtained in this study, showed that the highest growth rate of Bifidobacterium animalis subsp. lactis Bb-12 was obtained in goat’s milk, and the lowest in soy milk. Contrary to the growth of Bifidobacterium animalis subsp. lactis Bb-12, pH decreased faster in soy milk than in cow’s milk. The highest rate of pH decrease was also observed in goat’s milk, which is in correspondence with results of various previous studies. The Gompertz model proved to be highly suitable for analysing the course and the fermentation kinetics in these three kinds of milk, and might be used to analyse the growth kinetics of other probiotic and starter cultures in milk.

Keywords
bacterial growth rate; fermentation kinetics; cow’s milk; goat’s milk; soy milk; Bifidobacterium animalis subsp. lactis Bb-12

Hrčak ID: 111100

URI
https://hrcak.srce.hr/111100

[croatian]

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