139 related articles for article (PubMed ID: 20492253)
1. Stochastic and deterministic model of microbial heat inactivation.
Corradini MG; Normand MD; Peleg M
J Food Sci; 2010 Mar; 75(2):R59-70. PubMed ID: 20492253
[TBL] [Abstract][Full Text] [Related]
2. Interactive software for estimating the efficacy of non-isothermal heat preservation processes.
Peleg M; Normand MD; Corradini MG
Int J Food Microbiol; 2008 Aug; 126(1-2):250-7. PubMed ID: 18571264
[TBL] [Abstract][Full Text] [Related]
3. Evaluation of a stochastic inactivation model for heat-activated spores of Bacillus spp.
Corradini MG; Normand MD; Eisenberg M; Peleg M
Appl Environ Microbiol; 2010 Jul; 76(13):4402-12. PubMed ID: 20453137
[TBL] [Abstract][Full Text] [Related]
4. Prediction of an organism's inactivation patterns from three single survival ratios determined at the end of three non-isothermal heat treatments.
Corradini MG; Normand MD; Peleg M
Int J Food Microbiol; 2008 Aug; 126(1-2):98-111. PubMed ID: 18579249
[TBL] [Abstract][Full Text] [Related]
5. On modeling and simulating transitions between microbial growth and inactivation or vice versa.
Corradini MG; Peleg M
Int J Food Microbiol; 2006 Apr; 108(1):22-35. PubMed ID: 16403587
[TBL] [Abstract][Full Text] [Related]
6. Generating microbial survival curves during thermal processing in real time.
Peleg M; Normand MD; Corradini MG
J Appl Microbiol; 2005; 98(2):406-17. PubMed ID: 15659195
[TBL] [Abstract][Full Text] [Related]
7. On quantifying nonthermal effects on the lethality of pressure-assisted heat preservation processes.
Peleg M; Corradini MG; Normand MD
J Food Sci; 2012 Jan; 77(1):R47-56. PubMed ID: 22260125
[TBL] [Abstract][Full Text] [Related]
8. C. botulinum inactivation kinetics implemented in a computational model of a high-pressure sterilization process.
Juliano P; Knoerzer K; Fryer PJ; Versteeg C
Biotechnol Prog; 2009; 25(1):163-75. PubMed ID: 19197999
[TBL] [Abstract][Full Text] [Related]
9. Estimating the heat resistance parameters of bacterial spores from their survival ratios at the end of UHT and other heat treatments.
Peleg M; Normand MD; Corradini MG; Van Asselt AJ; De Jong P; Ter Steeg PF
Crit Rev Food Sci Nutr; 2008 Aug; 48(7):634-48. PubMed ID: 18663615
[TBL] [Abstract][Full Text] [Related]
10. A Weibullian model for microbial injury and mortality.
Corradini MG; Peleg M
Int J Food Microbiol; 2007 Nov; 119(3):319-28. PubMed ID: 17904675
[TBL] [Abstract][Full Text] [Related]
11. Estimating microbial inactivation parameters from survival curves obtained under varying conditions--the linear case.
Peleg M; Normand MD; Campanella OH
Bull Math Biol; 2003 Mar; 65(2):219-34. PubMed ID: 12675330
[TBL] [Abstract][Full Text] [Related]
12. Evaluation of the Weibull and log normal distribution functions as survival models of Escherichia coli under isothermal and non isothermal conditions.
Aragao GM; Corradini MG; Normand MD; Peleg M
Int J Food Microbiol; 2007 Nov; 119(3):243-57. PubMed ID: 17869362
[TBL] [Abstract][Full Text] [Related]
13. Survival curves of heated bacterial spores: effect of environmental factors on Weibull parameters.
Couvert O; Gaillard S; Savy N; Mafart P; Leguérinel I
Int J Food Microbiol; 2005 May; 101(1):73-81. PubMed ID: 15878408
[TBL] [Abstract][Full Text] [Related]
14. Extracting survival parameters from isothermal, isobaric, and "iso-concentration" inactivation experiments by the "3 end points method".
Corradini MG; Normand MD; Newcomer C; Schaffner DW; Peleg M
J Food Sci; 2009; 74(1):R1-R11. PubMed ID: 19200112
[TBL] [Abstract][Full Text] [Related]
15. Use of the Weibull model for lactococcal bacteriophage inactivation by high hydrostatic pressure.
Avsaroglu MD; Buzrul S; Alpas H; Akcelik M; Bozoglu F
Int J Food Microbiol; 2006 Apr; 108(1):78-83. PubMed ID: 16387378
[TBL] [Abstract][Full Text] [Related]
16. Inactivation kinetics of selected aerobic and anaerobic bacterial spores by pressure-assisted thermal processing.
Ahn J; Balasubramaniam VM; Yousef AE
Int J Food Microbiol; 2007 Feb; 113(3):321-9. PubMed ID: 17196696
[TBL] [Abstract][Full Text] [Related]
17. Calculation of the non-isothermal inactivation patterns of microbes having sigmoidal isothermal semi-logarithmic survival curves.
Peleg M
Crit Rev Food Sci Nutr; 2003; 43(6):645-58. PubMed ID: 14669882
[TBL] [Abstract][Full Text] [Related]
18. Use of linear, Weibull, and log-logistic functions to model pressure inactivation of seven foodborne pathogens in milk.
Chen H
Food Microbiol; 2007 May; 24(3):197-204. PubMed ID: 17188197
[TBL] [Abstract][Full Text] [Related]
19. Development of predictive modelling approaches for surface temperature and associated microbiological inactivation during hot dry air decontamination.
Valdramidis VP; Belaubre N; Zuniga R; Foster AM; Havet M; Geeraerd AH; Swain MJ; Bernaerts K; Van Impe JF; Kondjoyan A
Int J Food Microbiol; 2005 Apr; 100(1-3):261-74. PubMed ID: 15854711
[TBL] [Abstract][Full Text] [Related]
20. Modelling the effect of high pressure on the inactivation kinetics of a pressure-resistant strain of Pediococcus damnosus in phosphate buffer and gilt-head seabream (Sparus aurata).
Panagou EZ; Tassou CC; Manitsa C; Mallidis C
J Appl Microbiol; 2007 Jun; 102(6):1499-507. PubMed ID: 17578414
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
