Modeling the Growth of Bacteria Streptococcus sobrinus Using Exponential Regression
Pesqui. bras. odontopediatria clín. integr
;
20: e5380, 2020. tab, graf
Artículo
en Inglés
| LILACS, BBO
| ID: biblio-1135529
ABSTRACT
Abstract Objective:
To build an exponential regression model based on parameter estimation. Material andMethods:
We developed a simple mathematical model to simulate the growth of bacteria and the exponential growth is often used to model population growth as such cell growth while the exponential decay is portraying a declining or decreases in the size of the population. An exponential regression method was used to fit the data and estimate growth parameter values Streptococcus sobrinus using statistical software SPSS version 20.Results:
Based on the results of the parameter estimates, which is constant are 83.039 and b1 is 0.005 while R-square is 0.952. According to the R-Square results obtained, the model is good and appropriate.Conclusion:
The model can be used to find the potential biological parameters, which may be able to predict the treatment outcome. This study helps researchers to understand the specific growth rate(s), which can be used to best grow the organism.
Texto completo:
Disponible
Índice:
LILACS (Américas)
Asunto principal:
Bacterias
/
Análisis de Regresión
/
Streptococcus sobrinus
/
Estreptococos Viridans
/
Modelos Teóricos
Tipo de estudio:
Estudio diagnóstico
/
Estudio pronóstico
País/Región como asunto:
Asia
Idioma:
Inglés
Revista:
Pesqui. bras. odontopediatria clín. integr
Asunto de la revista:
Odontología
Año:
2020
Tipo del documento:
Artículo
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