These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

76 related articles for article (PubMed ID: 28800819)

  • 1. Estimation of the probability of bacterial population survival: Development of a probability model to describe the variability in time to inactivation of Salmonella enterica.
    Koyama K; Hokunan H; Hasegawa M; Kawamura S; Koseki S
    Food Microbiol; 2017 Dec; 68():121-128. PubMed ID: 28800819
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Modeling Stochastic Variability in the Numbers of Surviving Salmonella enterica, Enterohemorrhagic Escherichia coli, and Listeria monocytogenes Cells at the Single-Cell Level in a Desiccated Environment.
    Koyama K; Hokunan H; Hasegawa M; Kawamura S; Koseki S
    Appl Environ Microbiol; 2017 Feb; 83(4):. PubMed ID: 27940547
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Stochastic evaluation of Salmonella enterica lethality during thermal inactivation.
    Abe H; Koyama K; Kawamura S; Koseki S
    Int J Food Microbiol; 2018 Nov; 285():129-135. PubMed ID: 30118951
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Survival Kinetics of Salmonella enterica and Enterohemorrhagic Escherichia coli on a Plastic Surface at Low Relative Humidity and on Low-Water Activity Foods.
    Hokunan H; Koyama K; Hasegawa M; Kawamura S; Koseki S
    J Food Prot; 2016 Oct; 79(10):1680-1692. PubMed ID: 28221855
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Stochastic simulation for death probability of bacterial population considering variability in individual cell inactivation time and initial number of cells.
    Koyama K; Abe H; Kawamura S; Koseki S
    Int J Food Microbiol; 2019 Feb; 290():125-131. PubMed ID: 30326383
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Individual cell heterogeneity as variability source in population dynamics of microbial inactivation.
    Aspridou Z; Koutsoumanis KP
    Food Microbiol; 2015 Feb; 45(Pt B):216-21. PubMed ID: 25500387
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Calculating stochastic inactivation of individual cells in a bacterial population using variability in individual cell inactivation time and initial cell number.
    Koyama K; Abe H; Kawamura S; Koseki S
    J Theor Biol; 2019 May; 469():172-179. PubMed ID: 30831174
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Survival and death kinetics of Salmonella strains at low relative humidity, attached to stainless steel surfaces.
    Margas E; Meneses N; Conde-Petit B; Dodd CE; Holah J
    Int J Food Microbiol; 2014 Sep; 187():33-40. PubMed ID: 25038502
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Kinetics model comparison for the inactivation of Salmonella serotypes Enteritidis and Oranienburg in 10% salted liquid whole egg.
    Gurtler JB; Marks HM; Bailey RB; Juneja V; Jones DR
    Foodborne Pathog Dis; 2013 Jun; 10(6):492-9. PubMed ID: 23763579
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Extending the gamma concept to non-thermal inactivation: a dynamic model to predict the fate of Salmonella during the dried sausages process.
    Coroller L; Jeuge S; Couvert O; Christieans S; Ellouze M
    Food Microbiol; 2015 Feb; 45(Pt B):266-75. PubMed ID: 25500392
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Transforming kinetic model into a stochastic inactivation model: Statistical evaluation of stochastic inactivation of individual cells in a bacterial population.
    Hiura S; Abe H; Koyama K; Koseki S
    Food Microbiol; 2020 Oct; 91():103508. PubMed ID: 32539982
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Do bacterial cell numbers follow a theoretical Poisson distribution? Comparison of experimentally obtained numbers of single cells with random number generation via computer simulation.
    Koyama K; Hokunan H; Hasegawa M; Kawamura S; Koseki S
    Food Microbiol; 2016 Dec; 60():49-53. PubMed ID: 27554145
    [TBL] [Abstract][Full Text] [Related]  

  • 13. A mathematical model of inactivation kinetics for a four-strain composite of Salmonella Enteritidis and Oranienburg in commercial liquid egg yolk.
    Jordan JS; Gurtler JB; Marks HM; Jones DR; Shaw WK
    Food Microbiol; 2011 Feb; 28(1):67-75. PubMed ID: 21056777
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Loss of culturability of Salmonella enterica subsp. enterica serovar Typhimurium upon cell-cell contact with human fecal bacteria.
    Avendaño-Pérez G; Pin C
    Appl Environ Microbiol; 2013 May; 79(10):3257-63. PubMed ID: 23503308
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Heterogeneity of single cell inactivation: Assessment of the individual cell time to death and implications in population behavior.
    Aspridou Z; Balomenos A; Tsakanikas P; Manolakos E; Koutsoumanis K
    Food Microbiol; 2019 Jun; 80():85-92. PubMed ID: 30704600
    [TBL] [Abstract][Full Text] [Related]  

  • 16. A comparative study of thermal and acid inactivation kinetics in fruit juices of Salmonella enterica serovar Typhimurium and Salmonella enterica serovar Senftenberg grown at acidic conditions.
    Alvarez-Ordóñez A; Fernández A; Bernardo A; López M
    Foodborne Pathog Dis; 2009 Nov; 6(9):1147-55. PubMed ID: 19694554
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Evaluation of the strain variability of Salmonella enterica acid and heat resistance.
    Lianou A; Koutsoumanis KP
    Food Microbiol; 2013 Jun; 34(2):259-67. PubMed ID: 23541192
    [TBL] [Abstract][Full Text] [Related]  

  • 18. The survival of Salmonella enterica serovar Typhimurium DT104 and total viable counts on beef surfaces at different relative humidities and temperatures.
    Kinsella KJ; Prendergast DM; McCann MS; Blair IS; McDowell DA; Sheridan JJ
    J Appl Microbiol; 2009 Jan; 106(1):171-80. PubMed ID: 19054240
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Kinetics of growth and inactivation of Salmonella enterica serotype Typhimurium DT104 in pasteurised liquid egg products.
    McQuestin OJ; Musgrove MT; Tamplin ML
    Food Microbiol; 2010 May; 27(3):396-402. PubMed ID: 20227605
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Variability in microbial inactivation: From deterministic Bigelow model to probability distribution of single cell inactivation times.
    Aspridou Z; Koutsoumanis K
    Food Res Int; 2020 Nov; 137():109579. PubMed ID: 33233190
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 4.