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Estimating the Heat Resistance Parameters of Bacterial Spores from their Survival Ratios at the End of UHT and other Heat Treatments

Estimating the Heat Resistance Parameters of Bacterial Spores from their Survival Ratios at the... Accurate determination of bacterial cells or the isothermal survival curves of spores at Ultra High Temperatures (UHT) is hindered by the difficulty in withdrawing samples during the short process and the significant role that the come up and cooling times might play. The problem would be avoided if the survival parameters could be derived directly from the final survival ratios of the non-isothermal treatments but with known temperature profiles. Non-linear inactivation can be described by models that have at least three survival parameters. In the simplified version of the Weibullian –log logistic model they are n, representing the curvature of the isothermal semilogarithmic survival curves, Tc, a marker of the temperature where the inactivation accelerates and k, the slope of the rate parameter at temperatures well above Tc. In principle, these three unknown parameters can be calculated by solving, simultaneously, three rate equations constructed for three different temperature profiles that have produced three corresponding final survival ratios, which are determined experimentally. Since the three equations are constructed from the numerical solutions of three differential equations, this might not always be a practical option. However, the solution would be greatly facilitated if the problem could be reduced to the solution of only two simultaneous equations. This can be done by progressively changing the value of n by small increments or decrements and solving for k and Tc. The iterations continue until the model constructed with the calculated k and Tc values correctly predicts the survival ratio obtained in a third heat treatment with a known temperature profile. Once n, k, and Tc are established in this way, the resulting model can be used to predict the complete survival curves of the organism or spore under almost any contemplated or actual UHT treatment in the same medium. The potential of the method is demonstrated with simulated inactivation patterns and its predictive ability with experimental survival data of Bacillus sporothermodurans. Theoretically at least, the shown calculation procedure can be applied to other thermal preservation methods and to the prediction of collateral biochemical reactions, like vitamin degradation or the synthesis of compounds that cause discoloration. The concept itself can also be extended to non-Weibullian inactivation or synthesis patterns, provided that they are controlled by only three or fewer kinetic parameters. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Critical Reviews in Food Science and Nutrition Taylor & Francis

Estimating the Heat Resistance Parameters of Bacterial Spores from their Survival Ratios at the End of UHT and other Heat Treatments

15 pages

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References (28)

Publisher
Taylor & Francis
Copyright
Copyright Taylor & Francis Group, LLC
ISSN
1549-7852
eISSN
1040-8398
DOI
10.1080/10408390701724371
pmid
18663615
Publisher site
See Article on Publisher Site

Abstract

Accurate determination of bacterial cells or the isothermal survival curves of spores at Ultra High Temperatures (UHT) is hindered by the difficulty in withdrawing samples during the short process and the significant role that the come up and cooling times might play. The problem would be avoided if the survival parameters could be derived directly from the final survival ratios of the non-isothermal treatments but with known temperature profiles. Non-linear inactivation can be described by models that have at least three survival parameters. In the simplified version of the Weibullian –log logistic model they are n, representing the curvature of the isothermal semilogarithmic survival curves, Tc, a marker of the temperature where the inactivation accelerates and k, the slope of the rate parameter at temperatures well above Tc. In principle, these three unknown parameters can be calculated by solving, simultaneously, three rate equations constructed for three different temperature profiles that have produced three corresponding final survival ratios, which are determined experimentally. Since the three equations are constructed from the numerical solutions of three differential equations, this might not always be a practical option. However, the solution would be greatly facilitated if the problem could be reduced to the solution of only two simultaneous equations. This can be done by progressively changing the value of n by small increments or decrements and solving for k and Tc. The iterations continue until the model constructed with the calculated k and Tc values correctly predicts the survival ratio obtained in a third heat treatment with a known temperature profile. Once n, k, and Tc are established in this way, the resulting model can be used to predict the complete survival curves of the organism or spore under almost any contemplated or actual UHT treatment in the same medium. The potential of the method is demonstrated with simulated inactivation patterns and its predictive ability with experimental survival data of Bacillus sporothermodurans. Theoretically at least, the shown calculation procedure can be applied to other thermal preservation methods and to the prediction of collateral biochemical reactions, like vitamin degradation or the synthesis of compounds that cause discoloration. The concept itself can also be extended to non-Weibullian inactivation or synthesis patterns, provided that they are controlled by only three or fewer kinetic parameters.

Journal

Critical Reviews in Food Science and NutritionTaylor & Francis

Published: Jul 10, 2008

Keywords: survival curves; non linear kinetics; Weibull-log logistic model; predictive microbiology; ultra high temperature (UHT)

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