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 *

195 related articles for article (PubMed ID: 30368088)

  • 41. Driving predictive modelling on a risk assessment path for enhanced food safety.
    Foegeding PM
    Int J Food Microbiol; 1997 May; 36(2-3):87-95. PubMed ID: 9217097
    [TBL] [Abstract][Full Text] [Related]  

  • 42. Microbial source tracking: a tool for identifying sources of microbial contamination in the food chain.
    Fu LL; Li JR
    Crit Rev Food Sci Nutr; 2014; 54(6):699-707. PubMed ID: 24345044
    [TBL] [Abstract][Full Text] [Related]  

  • 43. Fitting a distribution to microbial counts: making sense of zeroes.
    Duarte AS; Stockmarr A; Nauta MJ
    Int J Food Microbiol; 2015 Mar; 196():40-50. PubMed ID: 25522056
    [TBL] [Abstract][Full Text] [Related]  

  • 44. Impact of Unit Operations From Farm to Fork on Microbial Safety and Quality of Foods.
    Alvarenga VO; Campagnollo FB; do Prado-Silva L; Horita CN; Caturla MYR; Pereira EPR; Crucello A; Sant'Ana AS
    Adv Food Nutr Res; 2018; 85():131-175. PubMed ID: 29860973
    [TBL] [Abstract][Full Text] [Related]  

  • 45. Improving quantitative exposure assessment by considering genetic diversity of B. cereus in cooked, pasteurised and chilled foods.
    Afchain AL; Carlin F; Nguyen-The C; Albert I
    Int J Food Microbiol; 2008 Nov; 128(1):165-73. PubMed ID: 18805600
    [TBL] [Abstract][Full Text] [Related]  

  • 46. Bioinactivation: Software for modelling dynamic microbial inactivation.
    Garre A; Fernández PS; Lindqvist R; Egea JA
    Food Res Int; 2017 Mar; 93():66-74. PubMed ID: 28290281
    [TBL] [Abstract][Full Text] [Related]  

  • 47. Quantitative risk analysis and the production of microbiologically safe food: an introduction.
    Notermans S; Teunis P
    Int J Food Microbiol; 1996 Jun; 30(1-2):3-7. PubMed ID: 8856370
    [TBL] [Abstract][Full Text] [Related]  

  • 48. [Monitoring and risk assessment of campylobacter infections].
    Bartelt E
    Dtsch Tierarztl Wochenschr; 2004 Aug; 111(8):326-31. PubMed ID: 15469062
    [TBL] [Abstract][Full Text] [Related]  

  • 49. Risk assessment strategies as a tool in the application of the Appropriate Level of Protection (ALOP) and Food Safety Objective (FSO) by risk managers.
    Gkogka E; Reij MW; Gorris LG; Zwietering MH
    Int J Food Microbiol; 2013 Oct; 167(1):8-28. PubMed ID: 23726259
    [TBL] [Abstract][Full Text] [Related]  

  • 50. Use of results of microbiological analyses for risk-based control of Listeria monocytogenes in marinated broiler legs.
    Aarnisalo K; Vihavainen E; Rantala L; Maijala R; Suihko ML; Hielm S; Tuominen P; Ranta J; Raaska L
    Int J Food Microbiol; 2008 Feb; 121(3):275-84. PubMed ID: 18155311
    [TBL] [Abstract][Full Text] [Related]  

  • 51. Microbiological food safety issues in Brazil: bacterial pathogens.
    Gomes BC; Franco BD; De Martinis EC
    Foodborne Pathog Dis; 2013 Mar; 10(3):197-205. PubMed ID: 23489044
    [TBL] [Abstract][Full Text] [Related]  

  • 52. 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]  

  • 53. Nuts and Grains: Microbiology and Preharvest Contamination Risks.
    Brar PK; Danyluk MD
    Microbiol Spectr; 2018 Apr; 6(2):. PubMed ID: 29701166
    [TBL] [Abstract][Full Text] [Related]  

  • 54. Microbial modeling in foods.
    Whiting RC
    Crit Rev Food Sci Nutr; 1995 Nov; 35(6):464-94. PubMed ID: 8777014
    [TBL] [Abstract][Full Text] [Related]  

  • 55. Quantitative microbial risk assessment for Staphylococcus aureus in natural and processed cheese in Korea.
    Lee H; Kim K; Choi KH; Yoon Y
    J Dairy Sci; 2015 Sep; 98(9):5931-45. PubMed ID: 26162789
    [TBL] [Abstract][Full Text] [Related]  

  • 56. A decision support system for the prediction of microbial food safety and food quality.
    Wijtzes T; van't Riet K; Huis in't Veld JH; Zwietering MH
    Int J Food Microbiol; 1998 Jun; 42(1-2):79-90. PubMed ID: 9706801
    [TBL] [Abstract][Full Text] [Related]  

  • 57. Added value of experts' knowledge to improve a quantitative microbial exposure assessment model--Application to aseptic-UHT food products.
    Pujol L; Johnson NB; Magras C; Albert I; Membré JM
    Int J Food Microbiol; 2015 Oct; 211():6-17. PubMed ID: 26143288
    [TBL] [Abstract][Full Text] [Related]  

  • 58. Advances in multi-omics based quantitative microbial risk assessment in the dairy sector: A semi-systematic review.
    Joshi A; Bhardwaj D; Kaushik A; Juneja VK; Taneja P; Thakur S; Kumra Taneja N
    Food Res Int; 2022 Jun; 156():111323. PubMed ID: 35651076
    [TBL] [Abstract][Full Text] [Related]  

  • 59. Future challenges to microbial food safety.
    Havelaar AH; Brul S; de Jong A; de Jonge R; Zwietering MH; Ter Kuile BH
    Int J Food Microbiol; 2010 May; 139 Suppl 1():S79-94. PubMed ID: 19913933
    [TBL] [Abstract][Full Text] [Related]  

  • 60. Seafood Spoilage Predictor--development and distribution of a product specific application software.
    Dalgaard P; Buch P; Silberg S
    Int J Food Microbiol; 2002 Mar; 73(2-3):343-9. PubMed ID: 11934041
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 10.