scholarly journals Development of new cereal-, pseudocereal-, and cereal-leguminous-based probiotic foods 

2014 ◽  
Vol 32 (No. 4) ◽  
pp. 391-397 ◽  
Author(s):  
M. Kocková ◽  
Ľ. Valík

The suitability of the selected cereals, pseudocereals, and legumes for new probiotic foods development was tested. Probiotic products were produced by inoculating buckwheat, dark buckwheat, barley, oat, soya, and chickpea in combination with oat with Lactobacillus rhamnosus GG and subsequent moulding to eliminate water from the cooked grains. The cell growth, pH and organic acid profiles were monitored during fermentation process at 37°C for 10 h followed by the storage period at 5°C for 21 days. The growth and metabolic parameters were calculated using principles of the predictive microbiology. Lb. rhamnosus GG was able to grow in all substrates during fermentation and reached the cell density of 6.68–7.58 log CFU/g, the highest growth rate having been calculated in the oat product (0.341 log CFU/g/h). After the fermentation, the lowest pH value was observed in the barley product (4.52), while after the storage in the oat-soya product (4.32). The greatest amount of lactic acid after the storage period was measured in the oat-soya product (1977.8 mg/kg). Sensory characteristics of the fermented and stored products were also monitored.

2013 ◽  
Vol 67 (7) ◽  
Author(s):  
Ľubomír Valík ◽  
Alžbeta Medveďová ◽  
Michal Čižniar ◽  
Denisa Liptáková

AbstractThe application of secondary temperature models on growth rates of Lactobacillus rhamnosus GG, the much studied probiotic bacterium, is investigated. Growth parameters resulting from a primary fitting were modelled against temperature using the following models: Hinshelwood model (H), Ratkowsky extended model (RTK2), Zwietering model (ZWT), and cardinal temperature model with inflection (CTMI). As experienced by other authors, the RTK2, ZWT, and CTMI models provided the best statistical indices related to fitting the experimental data. Moreover, with the biological background, the following cardinal temperatures of L. rhamnosus GG resulted from the study by the model application: t min = 2.7°C, t opt = 44.4°C, t max = 52.0°C. The growth rate of the strain under study at optimal temperature was 0.88 log10(CFU mL−1 h−1).


Author(s):  
Monika Petruláková ◽  
Ľubomír Valík

The aim of the study was evaluation of growth and metabolic activity of Lactobacillus rhamnosus GG during fermentation of leguminous porridges (soybean flour, soybean, chickpea flour, chickpea, white bean, red bean, speckled bean, green lentil, husked lentil, yellow pea), and the evaluation of their stability during storage. A mixture of leguminous sample with water was inoculated after sterilization with equal number of L. rhamnosus GG, to obtain 5 log cfu/g in the porridge. Fermentation was led at 37 °C during 10 hours and storage at 5 °C for 21 days. Monitoring of the lactobacilli counts, pH value, and concentration of organic acids during fermentation and storage was done. Calculation of growth and metabolic parameters during fermentation and storage period was performed by the mechanistic model of Baranyi and Roberts. L. rhamnosus GG was able to grow up to 6.8–7.9 log cfu/g during fermentation, cell density during storage period was stable, except whole soybean, yellow pea and red bean. Metabolic activity of L. rhamnosus GG during fermentation caused decrease of pH value to the final 5.6–6.0, increase of lactic and acetic acid concentration to 89.3–341.7 mg/kg and 129.2–525.2 mg/kg, respectively. During storage period, metabolic activity of L. rhamnosus GG continued.


2008 ◽  
Vol 25 (No. 5) ◽  
pp. 272-282 ◽  
Author(s):  
D. Liptáková ◽  
Ľ. Valík ◽  
A. Lauková ◽  
V. Strompfová

The combined effect of initial amount of 18 h <i>L. rhamnosus</i> VT1 inoculum and incubation temperature on the growth of <i>Candida maltosa</i> YP1, an oxidative food spoilage yeast strain, was primarily modelled and studied by standard response surface methodology. This study resulted in the following linear regression equations characterising lag time and growth rate of <i>C. maltosa</i> YP1 in milk in competition with the potentially protective lactobacillus strain. Lag-phase of <i>C. maltosa</i> was strongly influenced by the amount of lactobacillus inoculum (<i>V</i><sub>0</sub>) and incubation temperature (1/<i>T</i>). The synergic effect of both these factors was also evident as results from the equation lag = –33.50 + 186.38 × <i>V</i><sub>0</sub> × 1/<i>T</i> + 512.27 × 1/<i>T</i> – 5.511 × <i>V</i><sub>0</sub> (<i>R</i><sup>2</sup><sub>(λ)</sub> = 0.849). The growth rate was sufficiently described by the linear relation: <i>Gr</i><sub>Cm</sub> = –0.00046 + 0.0033 × <i>T</i> – 0.0016 × <i>V</i><sub>0 (<i>R</i><sup>2</sup><sub>(Gr)</sub> = 0.847). On the basis of these equations, the mutual microbial interactions and the potential application of the lactobacillus strains to food protection are discussed.


Author(s):  
Joshua A. Owens ◽  
Bejan J. Saeedi ◽  
Crystal R. Naudin ◽  
Sarah Hunter-Chang ◽  
Maria E. Barbian ◽  
...  

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