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Pregled bibliografske jedinice broj: 676638

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


Slačanac, Vedran; Lučan, Mirela; Hardi, Jovica; Habschied, Kristina; Krstanović, Vinko; Gagula, Goran
Predictive modeling of Bifidobacterium animalis subsp. lactis Bb-12 growth in cow’s, goat’s and soy milk // Mljekarstvo, Vol.63 No.4 Studeni 2013. ISSN 0026- 704X (Tisak)ISSN 1846-4025 (Online), 63 (2013), 4; 220-227 doi:UDK: 637.146/579.873.13 (međunarodna recenzija, članak, znanstveni)


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

Autori
Slačanac, Vedran ; Lučan, Mirela ; Hardi, Jovica ; Habschied, Kristina ; Krstanović, Vinko ; Gagula, Goran

Izvornik
Mljekarstvo, Vol.63 No.4 Studeni 2013. ISSN 0026- 704X (Tisak)ISSN 1846-4025 (Online) (ISSN0026-704X) 63 (2013), 4; 220-227

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni

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

Sažetak
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.

Izvorni jezik
Engleski

Znanstvena područja
Prehrambena tehnologija



POVEZANOST RADA


Projekt / tema
113-1130475-0336 - Funkcionalna svojstva raznih vrsta mlijeka i sirutke fermentiranih probioticima (, )
113-1780691-0538 - Unapređenje zdravstvene sigurnosti u proizvodnji i preradbi žitarica (Krstanović, Vinko, MZOS - )

Ustanove
Prehrambeno-tehnološki fakultet, Osijek

Citiraj ovu publikaciju

Slačanac, Vedran; Lučan, Mirela; Hardi, Jovica; Habschied, Kristina; Krstanović, Vinko; Gagula, Goran
Predictive modeling of Bifidobacterium animalis subsp. lactis Bb-12 growth in cow’s, goat’s and soy milk // Mljekarstvo, Vol.63 No.4 Studeni 2013. ISSN 0026- 704X (Tisak)ISSN 1846-4025 (Online), 63 (2013), 4; 220-227 doi:UDK: 637.146/579.873.13 (međunarodna recenzija, članak, znanstveni)
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, Vol.63 No.4 Studeni 2013. ISSN 0026- 704X (Tisak)ISSN 1846-4025 (Online), 63 (4), 220-227 doi:UDK: 637.146/579.873.13.
@article{article, year = {2013}, pages = {220-227}, DOI = {UDK: 637.146/579.873.13}, keywords = {bacterial growth rate, fermentation kinetics, cow’s milk, goat’s milk, soy milk, Bifidobacterium animalis subsp. lactis Bb-12}, journal = {Mljekarstvo, Vol.63 No.4 Studeni 2013. ISSN 0026- 704X (Tisak)ISSN 1846-4025 (Online)}, doi = {UDK: 637.146/579.873.13}, volume = {63}, number = {4}, issn = {ISSN0026-704X}, title = {Predictive modeling of Bifidobacterium animalis subsp. lactis Bb-12 growth in cow’s, goat’s and soy milk}, keyword = {bacterial growth rate, fermentation kinetics, cow’s milk, goat’s milk, soy milk, Bifidobacterium animalis subsp. lactis Bb-12} }

Časopis indeksira:


  • Web of Science Core Collection (WoSCC)
    • SCI-EXP, SSCI i/ili A&HCI


Uključenost u ostale bibliografske baze podataka:


  • CAB Abstracts


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