195 related articles for article (PubMed ID: 30368088)
21. Modeling microbial growth within food safety risk assessments.
Ross T; McMeekin TA
Risk Anal; 2003 Feb; 23(1):179-97. PubMed ID: 12635732
[TBL] [Abstract][Full Text] [Related]
22. Quantitative microbiological risk assessment in food industry: Theory and practical application.
Membré JM; Boué G
Food Res Int; 2018 Apr; 106():1132-1139. PubMed ID: 29579908
[TBL] [Abstract][Full Text] [Related]
23. Incorporating model uncertainties along with data uncertainties in microbial risk assessment.
Kang SH; Kodell RL; Chen JJ
Regul Toxicol Pharmacol; 2000 Aug; 32(1):68-72. PubMed ID: 11029270
[TBL] [Abstract][Full Text] [Related]
24. Effect of chemicals on the microbial evolution in foods.
Devlieghere F; Francois K; Vereecken KM; Geeraerd AH; Van Impe JF; Debevere J
J Food Prot; 2004 Sep; 67(9):1977-90. PubMed ID: 15453593
[TBL] [Abstract][Full Text] [Related]
25. Towards a Food Safety Knowledge Base Applicable in Crisis Situations and Beyond.
Falenski A; Weiser AA; Thöns C; Appel B; Käsbohrer A; Filter M
Biomed Res Int; 2015; 2015():830809. PubMed ID: 26247028
[TBL] [Abstract][Full Text] [Related]
26. Microbial risk assessment: dose-response relations and risk characterization.
Buchanan RL; Smith JL; Long W
Int J Food Microbiol; 2000 Jul; 58(3):159-72. PubMed ID: 10939266
[TBL] [Abstract][Full Text] [Related]
27. Towards a novel class of predictive microbial growth models.
Van Impe JF; Poschet F; Geeraerd AH; Vereecken KM
Int J Food Microbiol; 2005 Apr; 100(1-3):97-105. PubMed ID: 15854696
[TBL] [Abstract][Full Text] [Related]
28. Stepwise quantitative risk assessment as a tool for characterization of microbiological food safety.
van Gerwen SJ; te Giffel MC; van't Riet K; Beumer RR; Zwietering MH
J Appl Microbiol; 2000 Jun; 88(6):938-51. PubMed ID: 10849169
[TBL] [Abstract][Full Text] [Related]
29. Microbial bioinformatics for food safety and production.
Alkema W; Boekhorst J; Wels M; van Hijum SA
Brief Bioinform; 2016 Mar; 17(2):283-92. PubMed ID: 26082168
[TBL] [Abstract][Full Text] [Related]
30. A strategy to establish Food Safety Model Repositories.
Plaza-Rodríguez C; Thoens C; Falenski A; Weiser AA; Appel B; Kaesbohrer A; Filter M
Int J Food Microbiol; 2015 Jul; 204():81-90. PubMed ID: 25863339
[TBL] [Abstract][Full Text] [Related]
31. Challenges in risk assessment and predictive microbiology of foodborne spore-forming bacteria.
Augustin JC
Food Microbiol; 2011 Apr; 28(2):209-13. PubMed ID: 21315975
[TBL] [Abstract][Full Text] [Related]
32. Predictive microbiology: providing a knowledge-based framework for change management.
McMeekin TA; Ross T
Int J Food Microbiol; 2002 Sep; 78(1-2):133-53. PubMed ID: 12222630
[TBL] [Abstract][Full Text] [Related]
33. Predicting mycotoxins in foods: a review.
Garcia D; Ramos AJ; Sanchis V; Marín S
Food Microbiol; 2009 Dec; 26(8):757-69. PubMed ID: 19835759
[TBL] [Abstract][Full Text] [Related]
34. Computer aided microbial safety design of food processes.
Schellekens M; Martens T; Roberts TA; Mackey BM; Nicolaï BM; Van Impe JF; De Baerdemaeker J
Int J Food Microbiol; 1994 Dec; 24(1-2):1-9. PubMed ID: 7703003
[TBL] [Abstract][Full Text] [Related]
35. Fine-tuning Food Safety Objectives and risk assessment.
Havelaar AH; Nauta MJ; Jansen JT
Int J Food Microbiol; 2004 May; 93(1):11-29. PubMed ID: 15135579
[TBL] [Abstract][Full Text] [Related]
36. Prevalence of foodborne pathogens in food from selected African countries - A meta-analysis.
Paudyal N; Anihouvi V; Hounhouigan J; Matsheka MI; Sekwati-Monang B; Amoa-Awua W; Atter A; Ackah NB; Mbugua S; Asagbra A; Abdelgadir W; Nakavuma J; Jakobsen M; Fang W
Int J Food Microbiol; 2017 May; 249():35-43. PubMed ID: 28271855
[TBL] [Abstract][Full Text] [Related]
37. [Predictive microbiology and risk assessment].
Hildebrandt G; Kleer J
Dtsch Tierarztl Wochenschr; 2004 May; 111(5):195-200. PubMed ID: 15233338
[TBL] [Abstract][Full Text] [Related]
38. Microbial spoilage, quality and safety within the context of meat sustainability.
Saucier L
Meat Sci; 2016 Oct; 120():78-84. PubMed ID: 27161191
[TBL] [Abstract][Full Text] [Related]
39. IPMP Global Fit - A one-step direct data analysis tool for predictive microbiology.
Huang L
Int J Food Microbiol; 2017 Dec; 262():38-48. PubMed ID: 28961521
[TBL] [Abstract][Full Text] [Related]
40. IPMP 2013--a comprehensive data analysis tool for predictive microbiology.
Huang L
Int J Food Microbiol; 2014 Feb; 171():100-7. PubMed ID: 24334095
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]
