An introduction to predictive microbiology and the development and use of probability models withClostridium botulinum Karen L. Dodds OriginalPaper Pages: 139 - 143
Quantification of factors affecting the probability of development of pathogenic bacteria, in particularClostridium botulinum, in foods Barbara M. Lund OriginalPaper Pages: 144 - 155
Probability models to assess the safety of foods with respect toClostridium botulinum David A. Baker OriginalPaper Pages: 156 - 161
Development and use of probability models: The industry perspective Melanie R. Maas OriginalPaper Pages: 162 - 167
Time to turbidity measurement as a tool for modeling spoilage byLactobacillus H. G. A. M. CuppersJ. P. P. M. Smelt OriginalPaper Pages: 168 - 171
Linear-Arrhenius models for bacterial growth and death and vitamin denaturations K. R. Davey OriginalPaper Pages: 172 - 179
Modeling bacterial growth responses J. BaranyiP. J. McClureT. A. Roberts OriginalPaper Pages: 190 - 194
New modified Square Root and Schoolfield models for predicting bacterial growth rate as a function of temperature Susan A. AlberDonald W. Schaffner OriginalPaper Pages: 206 - 210
Dynamics of heat destruction of spores: A new view G. H. SmerageA. A. Teixeira OriginalPaper Pages: 211 - 220
Mathematical models of bacterial growth, inhibition and death under combined stress conditions Kenneth M. PruittDavid N. Kamau OriginalPaper Pages: 221 - 231
A vitalistic model to describe the thermal inactivation ofListeria monocytogenes Martin B. ColeKenneth W. DaviesDerrick C. Kilsby OriginalPaper Pages: 232 - 239
Modeling bacterial survival in unfavorable environments Richard C. Whiting OriginalPaper Pages: 240 - 246
Temperature dependence of thermal inactivation rate constants of bacterial spores in a glassy state V. SapruT. P. Labuza OriginalPaper Pages: 247 - 250
Developing and distributing user-friendly application software Robert L. Buchanan OriginalPaper Pages: 251 - 255
MKES Tools: A microbial kinetics expert system for developing and assessing food production systems R. VoyerR. C. McKellar OriginalPaper Pages: 256 - 262
The concept and application of expert systems in the field of microbiological safety Carol AdairPhilip A. Briggs OriginalPaper Pages: 263 - 267
A real-time database/models base/expert system in predictive microbiology Julie E. Jones OriginalPaper Pages: 268 - 272
Protocols for data generation for predictive modeling S. J. WalkerJ. E. Jones OriginalPaper Pages: 273 - 276
The use of automated tubidimetric data for the construction of kinetic models P. J. McClureM. B. ColeW. A. Anderson OriginalPaper Pages: 277 - 285
Conductance measurements for data generation in predictive modeling Elisabeth BorchCecilia Wallentin OriginalPaper Pages: 286 - 290
Data collection and capture systems for microbial modeling Arthur J. Miller OriginalPaper Pages: 291 - 294
Design of experiments for predictive microbial modeling Kenneth W. Davies OriginalPaper Pages: 295 - 300
Use of indirect conductimetry for predicting growth of food spoilage yeasts under various environmental conditions T. DeakL. R. Beuchat OriginalPaper Pages: 301 - 308
Growth kinetics for shelf-life prediction: Theory and practice T. P. LabuzaB. Fu OriginalPaper Pages: 309 - 323
A decision support system for prediction of microbial spoilage in foods Marcel H. ZwieteringTaco WijtzesKlaas van't Riet OriginalPaper Pages: 324 - 329
Predictive microbiology: Uses for assessing quality and safety of dairy products Michael T. Rowe OriginalPaper Pages: 330 - 336
Bacteriocin production ofLeuconostoc carnosum LA54A at different combinations of pH and temperature R. GeisenB. BeckerW. H. Holzapfel OriginalPaper Pages: 337 - 340
Modeling the cucumber fermentation: Growth ofLactobacillus plantarum F. V. PassosD. F. OllisR. M. Felder OriginalPaper Pages: 341 - 345
