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GInaFiT, a freeware tool to assess non-log-linear microbial survivor curves.

Abstract:This contribution focuses on the presentation of GInaFiT (Geeraerd and Van Impe Inactivation Model Fitting Tool), a freeware Add-in for Microsoft Excel aiming at bridging the gap between people developing predictive modelling approaches and end-users in the food industry not familiar with or not disposing over advanced non-linear regression analysis tools. More precisely, the tool is useful for testing nine different types of microbial survival models on user-specific experimental data relating the evolution of the microbial population with time. As such, the authors believe to cover all known survivor curve shapes for vegetative bacterial cells. The nine model types are: (i) classical log-linear curves, (ii) curves displaying a so-called shoulder before a log-linear decrease is apparent, (iii) curves displaying a so-called tail after a log-linear decrease, (iv) survival curves displaying both shoulder and tailing behaviour, (v) concave curves, (vi) convex curves, (vii) convex/concave curves followed by tailing, (viii) biphasic inactivation kinetics, and (ix) biphasic inactivation kinetics preceded by a shoulder. Next to the obtained parameter values, the following statistical measures are automatically reported: standard errors of the parameter values, the Sum of Squared Errors, the Mean Sum of Squared Errors and its Root, the R(2) and the adjusted R(2). The tool can help the end-user to communicate the performance of food preservation processes in terms of the number of log cycles of reduction rather than the classical D-value and is downloadable via the KULeuven/BioTeC-homepage at the topic "Downloads" (Version 1.4, Release date April 2005).

参考文献

[1]  Xuewen Lu,et al.  Model Fitting and Uncertainty , 2004 .

[2]  J F Van Impe,et al.  Predictive microbiology in a dynamic environment: a system theory approach. , 1995, International journal of food microbiology.

[3]  J F Van Impe,et al.  Dynamic mathematical model to predict microbial growth and inactivation during food processing , 1992, Applied and environmental microbiology.

[4]  T. Ross,et al.  Nonthermal death of Escherichia coli. , 1999, International journal of food microbiology.

[5]  D. Wilson,et al.  Salmonella enterica Serovar Typhimurium and Listeria monocytogenes Acid Tolerance Response Induced by Organic Acids at 20°C: Optimization and Modeling , 2003, Applied and Environmental Microbiology.

[6]  A H Geeraerd,et al.  Structural model requirements to describe microbial inactivation during a mild heat treatment. , 2000, International journal of food microbiology.

[7]  I. Leguerinel,et al.  On calculating sterility in thermal preservation methods: application of the Weibull frequency distribution model. , 2001, International journal of food microbiology.

[8]  Xuewen Lu,et al.  Modeling Microbial Responses in Food , 2003 .

[9]  Bart Nicolai,et al.  Monte Carlo analysis as a tool to incorporate variation on experimental data in predictive microbiology , 2003 .

[10]  R. Xiong,et al.  A mathematical model for bacterial inactivation. , 1999, International journal of food microbiology.

[11]  R. C. Whiting,et al.  Modeling bacterial survival in unfavorable environments , 1993, Journal of Industrial Microbiology.

[12]  J Baranyi,et al.  A dynamic approach to predicting bacterial growth in food. , 1994, International journal of food microbiology.

[13]  Basil Jarvis,et al.  Statistical Aspects of the Microbiological Analysis of Foods , 1989 .

[14]  K. Davey,et al.  Thermal inactivation of bacteria—a new predictive model for the combined effect of three environmental factors: temperature, pH and water activity , 1996 .

[15]  D. Heldman,et al.  Kinetic Models for Microbial Survival During Processing , 2003 .

[16]  M. B. Cole,et al.  A vitalistic model to describe the thermal inactivation ofListeria monocytogenes , 1993, Journal of Industrial Microbiology.

[17]  R. C. Whiting,et al.  Differentiation of the Effects of pH and Lactic or Acetic Acid Concentration on the Kinetics of Listeria Monocytogenes Inactivation. , 1993, Journal of food protection.

[18]  Micha Peleg,et al.  Microbial survival curves - The reality of flat shoulders and absolute thermal death times , 2000 .

[19]  J. V. Van Impe,et al.  Effect of chemicals on the microbial evolution in foods. , 2004, Journal of food protection.

[20]  M.A.J.S. van Boekel,et al.  On the use of the Weibull model to describe thermal inactivation of microbial vegetative cells , 2002 .

[21]  E. Beale,et al.  Confidence Regions in Non‐Linear Estimation , 1960 .

[22]  J P Flandrois,et al.  Convenient Model To Describe the Combined Effects of Temperature and pH on Microbial Growth , 1995, Applied and environmental microbiology.

[23]  J. Lammertyn,et al.  Combinations of pulsed white light and UV-C or mild heat treatment to inactivate conidia of Botrytis cinerea and Monilia fructigena. , 2003, International journal of food microbiology.

[24]  Thomas H. Wonnacott,et al.  Introductory Statistics , 2007, Technometrics.

[25]  K Bernaerts,et al.  Development of predictive modelling approaches for surface temperature and associated microbiological inactivation during hot dry air decontamination. , 2005, International journal of food microbiology.

[26]  I. Albert,et al.  A modified Weibull model for bacterial inactivation. , 2005, International journal of food microbiology.

[27]  O. Cerf,et al.  A REVIEW Tailing of Survival Curves of Bacterial Spores , 1977 .

[28]  R. C. Whiting,et al.  Model for the survival of Staphylococcus aureus in nongrowth environments. , 1996, International journal of food microbiology.

[29]  M. B. Cole,et al.  Biphasic Thermal Inactivation Kinetics in Salmonella enteritidis PT4 , 1998, Applied and Environmental Microbiology.

[30]  M. Peleg,et al.  Modeling Microbial Survival during Exposure to a Lethal Agent with Varying Intensity , 2000, Critical reviews in food science and nutrition.

[31]  A. Teixeira,et al.  Predicting Thermophilic Spore Population Dynamics for UHT Sterilization Processes , 1992 .

[32]  Gustavo V. Barbosa-Cánovas,et al.  Inactivation of E. Coli and S. Cerevisiae by Pulsed Electric Fields Under Controlled Temperature Conditions , 1994 .

[33]  Tom Ross,et al.  Predictive Microbiology : Theory and Application , 1993 .

[34]  T. Ross,et al.  Differentiation of the effects of lethal pH and water activity: food safety implications , 2001, Letters in applied microbiology.

[35]  M Peleg,et al.  Reinterpretation of microbial survival curves. , 1998, Critical reviews in food science and nutrition.

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