D72°C VALUES OF SALMONELLA TYPHIMURIUM IN CITRUS JUICES: PREDICTIVE EFFICACY OF A MODEL
Identifieur interne : 001C18 ( Main/Exploration ); précédent : 001C17; suivant : 001C19D72°C VALUES OF SALMONELLA TYPHIMURIUM IN CITRUS JUICES: PREDICTIVE EFFICACY OF A MODEL
Auteurs : Alonzo A. Gabriel ; Maria Patricia V. Azanza [Philippines]Source :
- Journal of Food Process Engineering [ 0145-8876 ] ; 2010-06.
Abstract
A previously developed predictive model for the decimal reduction times (D72°C) of Salmonella typhimurium (ATCC 13311) in simulated citrus systems was validated for its efficacy to estimate the D72°C of the reference organism in real citrus juices. Model predictive efficacy was assessed by calculating performance indices for accuracy (Af) and bias (Bf); and through graphical validations. In all validating citrus juices, the predicted D72°C of the reference strain were greater than the actual values calculated from thermal inactivation studies. The model overestimations were also demonstrated in the graphical validations where all model predictions were classified as fail‐safe predictions. Results obtained in this study may be used in establishing new processes as well as in the verification of existing processes for citrus juices to ensure the safety of the products against the reference organism.
Url:
DOI: 10.1111/j.1745-4530.2008.00287.x
Affiliations:
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<front><div type="abstract">A previously developed predictive model for the decimal reduction times (D72°C) of Salmonella typhimurium (ATCC 13311) in simulated citrus systems was validated for its efficacy to estimate the D72°C of the reference organism in real citrus juices. Model predictive efficacy was assessed by calculating performance indices for accuracy (Af) and bias (Bf); and through graphical validations. In all validating citrus juices, the predicted D72°C of the reference strain were greater than the actual values calculated from thermal inactivation studies. The model overestimations were also demonstrated in the graphical validations where all model predictions were classified as fail‐safe predictions. Results obtained in this study may be used in establishing new processes as well as in the verification of existing processes for citrus juices to ensure the safety of the products against the reference organism.</div>
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