2014
DOI: 10.1590/1981-6723.6414
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MicroFit: um software gratuito para desenvolvimento e ajuste de modelos matemáticos de crescimento bacteriano

Abstract: A conservação de alimentos é uma das práticas mais antigas apropriadas pela humanidade, entretanto as infecções alimentares ainda despontam como uma gravíssima questão de saúde pública em todo o mundo, levando a óbito milhares de pessoas todos os anos. Nesse contexto, os modelos de predição microbiológica surgem como uma importante ferramenta para aferição da segurança alimentar e avaliação do risco de contaminação de alimentos. Os parâmetros de predição do comportamento microbiano proporcionam um caminho rápi… Show more

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Cited by 11 publications
(4 citation statements)
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“…Through mathematical models developed by Microfit software (Siqueira et al, 2014), the theoretical coefficients were fitted according to the experimental coefficients.…”
Section: Methodsmentioning
confidence: 99%
“…Through mathematical models developed by Microfit software (Siqueira et al, 2014), the theoretical coefficients were fitted according to the experimental coefficients.…”
Section: Methodsmentioning
confidence: 99%
“…Different mathematical models (Table 3) were tested to evaluate the experimental data obtained in the growth kinetics as previously done by Gomes et al (2021) and Spier et al (2009). All models were calculated using OriginPro 8.5 (OriginLab, Massachusetts, USA, 2018) and Microfit® (Siqueira, 2014). The…”
Section: Mathematical Modeling In Bioprocess Kineticsmentioning
confidence: 99%
“…Different mathematical models (Table 3) were tested to evaluate the experimental data obtained in the growth kinetics as previously done by Gomes et al (2021) and Spier, Letti, Woiciechowski, and Soccol (2009). All models were calculated using OriginPro 8.5 (OriginLab, Massachusetts, USA, 2018) and Microfit® (Siqueira, Carvalho, Mendes, & Shiosaki, 2014). The coefficient of determination (R²) and the Root mean square error (RMSE) were used to determine the proper fit.…”
Section: Mathematical Modeling In Bioprocess Kineticsmentioning
confidence: 99%