Marko Tramšek (Author), Andreja Goršek (Author)

Abstract

This work describes the statistical analysis of three mathematical models, modified for describing the kefir grain biomass growth curve. Experimental data of time-dependent kefir grain mass increase were used. The propagation was performed in RC1 batch reaction system under optimal bioprocess parameters (temperature, rotational frequency of stirrer, glucose mass concentration) using traditional cultivation in fresh, high-temperature, pasteurized whole fat cow's milk. We compared values of biological parameters obtained by applying the nonlinear regression of experimental data in logistic, Gompertz and Richards models. The most statistically appropriate model was determined using the seven statistical indicators. We established that the kefir grain biomass growth curve during batch propagation under optimal bioprocess conditions can be most successfully described using the Gompertz growth model.

Keywords

bioprocesi;mlečni izdelki;kefir;kefirna zrna;rast kefirnih zrn;kemijska procesna tehnika;procesni parametri;matematični modeli;chemical processing;milk products;kefir grain growth;process parameters;design of experiments;modeling;mathematical models;Gompertz growth model;RC1;

Data

Language: English
Year of publishing:
Typology: 1.01 - Original Scientific Article
Organization: UM FKKT - Faculty of Chemistry and Chemical Engineering
UDC: 66.01:637.1
COBISS: 12374038 Link will open in a new window
ISSN: 0145-8876
Views: 2324
Downloads: 118
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Other data

Secondary language: English
Secondary keywords: bioprocesi;mlečni izdelki;kefir;kefirna zrna;rast kefirnih zrn;kemijska procesna tehnika;procesni parametri;matematični modeli;
URN: URN:SI:UM:
Pages: str. 754-767
Volume: ǂVol. ǂ31
Issue: ǂiss. ǂ6
Chronology: 2008
DOI: 10.1111/j.1745-4530.2007.00187.x
ID: 8716980