Abstract
Predictive microbiology is an interesting tool that allows evaluating the behavior of biomass and metabolites in different culture media, providing multiple benefits, whether scientific or industrial, for these and other reasons the objective of this research was to evaluate applied sigmoidal kinetic models to the growth of Saccharomyces boulardii in milk. For this purpose, flasks were prepared with 200 mL of fresh cow's milk, previously sterilized at 121 ° C x 15 min, then the strains were inoculated at a temperature of 37 ° C and incubated at the same temperature under constant shaking of 20 revolutions per minute (rpm) in a water bath with shaking, for 7 h; To construct the curves and obtain the growth constants, colony-forming units were counted per milliliter (cfu / ml) at one-hour intervals, with a monocular microscope and Neubauer chamber. Also, the pH and titratable acidity expressed in lactic acid were measured. The data obtained were converted to a logarithmic scale to apply the sigmoidal equations of Gompertz, Logistic, Modified Logistic and Weibull. The results of the kinetic modeling gave us that the modified Logistics and Logistics models presented a better fit compared to the rest. Likewise, the Weibull model presented the lowest value of adjustment, on the other hand, in the analysis of the statistical criteria, all models except Weibull present similarity. Finally, each sigmoidal model allowed to evaluate the growth of Saccharomyces boulardii with each of its kinetic constants.
Highlights
Predictive microbiology is an interesting tool that allows evaluating the behavior of biomass and metabolites in different culture media, providing multiple benefits, whether scientific or industrial, for these and other reasons the objective of this research was to evaluate applied sigmoidal kinetic models to the growth of Saccharomyces boulardii in milk
Actualmente, la microbiología predictiva, se ha convertido en una herramienta poderosa para analizar, describir y predecir cambios microbianos producidos en los alimentos
Luego se procedió a realizar la activación de Saccharomyces boulardii en una solución de sacarosa al 2%, luego se tomó 1 ml de la solución de la cepa y se pasó a inocular en la leche fresca de vaca a una temperatura de 37 ± 1 oC, con una agitación constante de 20 RPM regulado por un baño maría BS – 11 y a cada una hora (0 – 6 horas de incubación) se retiraba cada matraz para el conteo correspondiente; asimismo, se realizó monitoreo de pH, porcentaje de acidez según la metodología antes descrita
Summary
La microbiología predictiva es una interesante herramienta que permite evaluar el comportamiento de biomasa y metabolitos en diferentes medios de cultivo, proporcionándonos múltiples beneficios ya sean de carácter científico o industrial, por estas y otras razones el objetivo de la presente investigación fue evaluar modelos cinéticos sigmoidales aplicados al crecimiento de Saccharomyces boulardii en leche. Los datos obtenidos fueron convertidos a escala logarítmica para aplicar las ecuaciones sigmoidales de Gompertz, Logístico, Logístico modificado y Weibull. Los resultados del modelamiento cinético nos dieron que los modelos Logístico y Logístico modificado presentaron un mejor ajuste en comparación a los restantes. Finalmente, cada modelo sigmoidal permitió evaluar el crecimiento de Saccharomyces boulardii con cada una de sus constantes cinéticos. Palabras clave: Saccharomyces boulardii, microbiología predictiva, crecimiento microbiano
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