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This research deals with the development of a novel secondary modelling procedure within the framework of predictive microbiology.
Nowadays, experimental designs for secondary modelling within the field of predictive microbiology are mostly arbitrary or based on factorial design.
Finally, significant correlation coefficients were found between ergosterol and colony diameters, suggesting that both parameters may be useful for primary modelling and thus for subsequent secondary modelling.
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Thus, a polynomial secondary model, based on the sigmoid model, was developed to accurately predict the 7.0-log reduction times.
Secondly, these parameters were used as responses and analysed according to a mixture design experiment (secondary model).
It's affiliate sales model (which lets users of Pandora buy music through iTunes or Amazon), is already proving to be a nice little secondary model — one that is growing thanks to the iPhone.
Inactivation kinetic parameters were obtained through the application of a primary biphasic model and classical secondary models to describe the influence of pressure and temperature on spore inactivation.
Diverse secondary models were assessed for their ability to describe the radial growth rate as a function of individual and combined effect of aw and temperature.
Next, secondary models were deployed to estimate the cardinal values (minimal, optimal and maximal temperatures, minimal water activity where no growth is observed anymore) for the three species.
In other words, the microbial behavior can be described in a dynamic environment with the use of a primary and secondary model.
This secondary model describes the influence of temperature on the microbial specific growth rate from the minimum to the maximum temperature for growth.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com