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.
134 related articles for article (PubMed ID: 30463031)
21. Next generation of microbiological risk assessment: Potential of omics data for exposure assessment. den Besten HMW; Amézquita A; Bover-Cid S; Dagnas S; Ellouze M; Guillou S; Nychas G; O'Mahony C; Pérez-Rodriguez F; Membré JM Int J Food Microbiol; 2018 Dec; 287():18-27. PubMed ID: 29032838 [TBL] [Abstract][Full Text] [Related]
22. Risk ranking of pathogens in ready-to-eat unprocessed foods of non-animal origin (FoNAO) in the EU: initial evaluation using outbreak data (2007-2011). Da Silva Felício MT; Hald T; Liebana E; Allende A; Hugas M; Nguyen-The C; Johannessen GS; Niskanen T; Uyttendaele M; McLauchlin J Int J Food Microbiol; 2015 Feb; 195():9-19. PubMed ID: 25500275 [TBL] [Abstract][Full Text] [Related]
23. Highlights from the 8th International Conference on Predictive Modelling in Food (ICPMF8). Ellouze M; Tenenhaus-Aziza F; Carlin F Food Microbiol; 2015 Feb; 45(Pt B):160-1. PubMed ID: 25500380 [No Abstract] [Full Text] [Related]
24. State of the art in benefit-risk analysis: food microbiology. Magnússon SH; Gunnlaugsdóttir H; Loveren Hv; Holm F; Kalogeras N; Leino O; Luteijn JM; Odekerken G; Pohjola MV; Tijhuis MJ; Tuomisto JT; Ueland Ø; White BC; Verhagen H Food Chem Toxicol; 2012 Jan; 50(1):33-9. PubMed ID: 21679739 [TBL] [Abstract][Full Text] [Related]
28. Food reformulations for improved health: A potential risk for microbial food safety? Sleator RD; Hill C Med Hypotheses; 2007; 69(6):1323-4. PubMed ID: 17452083 [TBL] [Abstract][Full Text] [Related]
29. Using lytic bacteriophages to eliminate or significantly reduce contamination of food by foodborne bacterial pathogens. Sulakvelidze A J Sci Food Agric; 2013 Oct; 93(13):3137-46. PubMed ID: 23670852 [TBL] [Abstract][Full Text] [Related]
30. A bioinformatics pipeline integrating predictive metagenomics profiling for the analysis of 16S rDNA/rRNA sequencing data originated from foods. Mataragas M; Alessandria V; Ferrocino I; Rantsiou K; Cocolin L Food Microbiol; 2018 Dec; 76():279-286. PubMed ID: 30166151 [TBL] [Abstract][Full Text] [Related]
31. Food safety and increasing hazard of mycotoxin occurrence in foods and feeds. Stoev SD Crit Rev Food Sci Nutr; 2013; 53(9):887-901. PubMed ID: 23768181 [TBL] [Abstract][Full Text] [Related]
32. Street foods in Accra, Ghana: how safe are they? Mensah P; Yeboah-Manu D; Owusu-Darko K; Ablordey A Bull World Health Organ; 2002; 80(7):546-54. PubMed ID: 12163918 [TBL] [Abstract][Full Text] [Related]
34. 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]
35. 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]
36. Fundamentals, state of the art and new horizons. Proceedings of the 5th International Conference on Predictive Modelling in Foods. September 16-19, 2007. Athens, Greece. Int J Food Microbiol; 2008 Nov; 128(1):1-180. PubMed ID: 19408356 [No Abstract] [Full Text] [Related]
37. Current aspects of Salmonella contamination in the US poultry production chain and the potential application of risk strategies in understanding emerging hazards. Rajan K; Shi Z; Ricke SC Crit Rev Microbiol; 2017 May; 43(3):370-392. PubMed ID: 27869522 [TBL] [Abstract][Full Text] [Related]