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1.
Food Microbiol ; 38: 143-50, 2014 Apr.
Artigo em Inglês | MEDLINE | ID: mdl-24290637

RESUMO

The effect of pH (1.7-3.2) and sugar concentration (64-68 °Brix) on the growth of Zygosaccharomyces rouxii MC9 using response surface methodology was studied. Experiments were carried out in concentrated grape juice inoculated with Z. rouxii at isothermal conditions (23 °C) for 60 days. pH was the variable with the highest effect on growth parameters (potential maximum growth rate and lag phase duration), although the effect of sugar concentration were also significant. In a second experiment, the time for spoilage by this microorganism in concentrated grape juice was evaluated at isothermal (23 °C) and non-isothermal conditions, in an effort to reproduce standard storage and overseas shipping temperature conditions, respectively. Results show that pH was again the environmental factor with the highest impact on delaying the spoilage of the product. Thereby, a pH value below 2.0 was enough to increase the shelf life of the product for more than 60 days in both isothermal and non-isothermal conditions. The information obtained in the present work could be used by producers and buyers to predict the growth and time for spoilage of Z. rouxii in concentrated grape juice.


Assuntos
Bebidas/análise , Bebidas/microbiologia , Conservação de Alimentos/métodos , Vitis/microbiologia , Zygosaccharomyces/crescimento & desenvolvimento , Metabolismo dos Carboidratos , Carboidratos/análise , Contaminação de Alimentos/análise , Armazenamento de Alimentos , Concentração de Íons de Hidrogênio , Cinética , Temperatura , Vitis/química , Zygosaccharomyces/química , Zygosaccharomyces/metabolismo
2.
Int J Food Microbiol ; 170: 83-90, 2014 Jan 17.
Artigo em Inglês | MEDLINE | ID: mdl-24291186

RESUMO

The present study uses a probabilistic model to determine the growth/no growth interfaces of the spoilage wine yeast Dekkera bruxellensis CH29 as a function of ethanol (10-15%, v/v), pH (3.4-4.0) and free SO2 (0-50 mg/l) using time (7, 14, 21 and 30 days) as a dummy variable. The model, built with a total of 756 growth/no growth data obtained in a simile wine medium, could have application in the winery industry to determine the wine conditions needed to inhibit the growth of this species. Thereby, at 12.5% of ethanol and pH 3.7 for a growth probability of 0.01, it is necessary to add 30 mg/l of free SO2 to inhibit yeast growth for 7 days. However, the concentration of free SO2 should be raised to 48 mg/l to achieve a probability of no growth of 0.99 for 30 days under the same wine conditions. Other combinations of environmental variables can also be determined using the mathematical model depending on the needs of the industry.


Assuntos
Dekkera/metabolismo , Etanol/metabolismo , Microbiologia de Alimentos , Modelos Estatísticos , Dióxido de Enxofre/metabolismo , Vinho/microbiologia , Concentração de Íons de Hidrogênio
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