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ZENODO
Research . 2023
License: CC BY
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Other literature type . 2023
License: CC BY
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ZENODO
Research . 2023
License: CC BY
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Thermal Process Lethality Calculator (F-value)

descriptionPublicationkeyboard_double_arrow_right Research , Other literature type 09 Aug 2023 English Publisher:Zenodo
Authors: , Simoes;

doi: 10.5281/zenodo.8227376 , 10.5281/zenodo.8227375

Thermal Process Lethality Calculator (F-value)

Abstract

The paper presents two Python-based calculators for determining the F-value, a measure of the lethality of a thermal process in food safety. Utilizing both the Trapezoidal rule and Simpson's rule for numerical integration, the calculators compute the integral of the lethal rate over time. The inclusion of the Z-value is considered, enabling adjustments to the lethal rate based on temperature deviations.

Source code and usage instructions are available in the GitHub repository, "Thermal-Process-Lethality-Calculator-F-value-".

Keywords

Thermal Processing, Food Safety, Lethality, F-value, Numerical Integration, Trapezoidal Rule, Simpson's Rule, z-value, Lethal Rate, Python Calculator, Food Industry, Microorganism Inactivation

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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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