2017
DOI: 10.1016/j.foodres.2017.01.012
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Bioinactivation: Software for modelling dynamic microbial inactivation

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Cited by 56 publications
(37 citation statements)
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“…At all of the temperatures studied (95 °C, 100 °C and 105 °C), inactivation rate is higher in BHI and lower in F-ABP. There is a high log-linear correlation coefficient for all the survival curves obtained (always higher than 0.9) and counts observed were not lower than those obtained by conventional heating, which indicated that a homogeneous heating is obtained [23,24]. …”
Section: Resultsmentioning
confidence: 96%
“…At all of the temperatures studied (95 °C, 100 °C and 105 °C), inactivation rate is higher in BHI and lower in F-ABP. There is a high log-linear correlation coefficient for all the survival curves obtained (always higher than 0.9) and counts observed were not lower than those obtained by conventional heating, which indicated that a homogeneous heating is obtained [23,24]. …”
Section: Resultsmentioning
confidence: 96%
“…The model fitting has been performed using the bioinactivation package of R [40], which includes functions for parameter estimation from isothermal inactivation experiments using a one-step non-linear regression algorithm. The goodness of the fit has been assessed using the Root Mean Squared Error (RMSE) of the prediction generated by the adjusted model (Equation (3)).…”
Section: Methodsmentioning
confidence: 99%
“…The inactivation model of Geeraerd et al (2000), extended with a Bigelow-type temperature dependency (Garre et al, 2017), was fitted to the experimental data on BHI agar (i.e., providing inactivation dynamics for the total population of uninjured and injured cells). The inactivation rate was set to zero for temperatures lower than 50 • C, since these temperatures do not result in L. monocytogenes inactivation (Valdramidis et al, 2006).…”
Section: Estimation Of Inactivation Kineticsmentioning
confidence: 99%