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Journal Abstract Search

553 related items for PubMed ID: 18845350

  • 41. Predictive modelling of the individual and combined effect of water activity and temperature on the radial growth of Fusarium verticilliodes and F. proliferatum on corn.
    Samapundo S, Devlieghere F, De Meulenaer B, Geeraerd AH, Van Impe JF, Debevere JM.
    Int J Food Microbiol; 2005 Nov 15; 105(1):35-52. PubMed ID: 16048733
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  • 42. High-Pressure Inactivation of Histamine-Forming Bacteria Morganella morganii and Photobacterium phosphoreum.
    Lee YC, Hsieh CY, Chen ML, Wang CY, Lin CS, Tsai YH.
    J Food Prot; 2020 Apr 01; 83(4):621-627. PubMed ID: 32221566
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  • 43. Applicability of a microbial Time Temperature Indicator (TTI) for monitoring spoilage of modified atmosphere packed minced meat.
    Vaikousi H, Biliaderis CG, Koutsoumanis KP.
    Int J Food Microbiol; 2009 Aug 15; 133(3):272-8. PubMed ID: 19564058
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  • 44. Modelling and predicting the effect of temperature, water activity and pH on growth of Streptococcus iniae in Tilapia.
    Zhou K, Cui TT, Li PL, Liang NJ, Liu SC, Ma CW, Peng ZH.
    J Appl Microbiol; 2008 Dec 15; 105(6):1956-65. PubMed ID: 19120642
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  • 45. Towards a novel class of predictive microbial growth models.
    Van Impe JF, Poschet F, Geeraerd AH, Vereecken KM.
    Int J Food Microbiol; 2005 Apr 15; 100(1-3):97-105. PubMed ID: 15854696
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  • 46. Modelling the growth of Listeria monocytogenes in fresh green coconut (Cocos nucifera L.) water.
    Walter EH, Kabuki DY, Esper LM, Sant'Ana AS, Kuaye AY.
    Food Microbiol; 2009 Sep 15; 26(6):653-7. PubMed ID: 19527842
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  • 47. Development of molecular-based methods for determination of high histamine producing bacteria in fish.
    Björnsdóttir-Butler K, Bolton GE, Jaykus LA, McClellan-Green PD, Green DP.
    Int J Food Microbiol; 2010 May 15; 139(3):161-7. PubMed ID: 20392504
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  • 48. Predictive model for growth of Clostridium perfringens during cooling of cooked uncured beef.
    Juneja VK, Marks H, Thippareddi H.
    Food Microbiol; 2008 Feb 15; 25(1):42-55. PubMed ID: 17993376
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  • 49. Model on the microbial quality change of seasoned soybean sprouts for on-line shelf life prediction.
    Lee DS, Hwang KJ, An DS, Park JP, Lee HJ.
    Int J Food Microbiol; 2007 Sep 30; 118(3):285-93. PubMed ID: 17804105
    [Abstract] [Full Text] [Related]

  • 50. Development and validation of an extensive growth and growth boundary model for psychrotolerant Lactobacillus spp. in seafood and meat products.
    Mejlholm O, Dalgaard P.
    Int J Food Microbiol; 2013 Oct 15; 167(2):244-60. PubMed ID: 24140806
    [Abstract] [Full Text] [Related]

  • 51. Effect of pH, water activity and gel micro-structure, including oxygen profiles and rheological characterization, on the growth kinetics of Salmonella Typhimurium.
    Theys TE, Geeraerd AH, Verhulst A, Poot K, Van Bree I, Devlieghere F, Moldenaers P, Wilson D, Brocklehurst T, Van Impe JF.
    Int J Food Microbiol; 2008 Nov 30; 128(1):67-77. PubMed ID: 18834641
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  • 52. Application and validation of the TTI based chill chain management system SMAS (Safety Monitoring and Assurance System) on shelf life optimization of vacuum packed chilled tuna.
    Tsironi T, Gogou E, Velliou E, Taoukis PS.
    Int J Food Microbiol; 2008 Nov 30; 128(1):108-15. PubMed ID: 18783843
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  • 53. Effect of packaging atmosphere on the microbial attributes of pearlspot (Etroplus suratensis Bloch) stored at 0-2 degrees C.
    Ravi Sankar CN, Lalitha KV, Jose L, Manju S, Gopal TK.
    Food Microbiol; 2008 May 30; 25(3):518-28. PubMed ID: 18355677
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  • 54. Modeling the combined effects of pH, temperature and ascorbic acid concentration on the heat resistance of Alicyclobacillus acidoterrestis.
    Bahçeci KS, Acar J.
    Int J Food Microbiol; 2007 Dec 15; 120(3):266-73. PubMed ID: 17936391
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  • 55. Predictive models for growth of Salmonella typhimurium DT104 from low and high initial density on ground chicken with a natural microflora.
    Oscar TP.
    Food Microbiol; 2007 Sep 15; 24(6):640-51. PubMed ID: 17418316
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  • 56. Temperature governs the inactivation rate of vegetative bacteria under growth-preventing conditions.
    Ross T, Zhang D, McQuestin OJ.
    Int J Food Microbiol; 2008 Nov 30; 128(1):129-35. PubMed ID: 18778864
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  • 57. Modelling growth of Penicillium expansum and Aspergillus niger at constant and fluctuating temperature conditions.
    Gougouli M, Koutsoumanis KP.
    Int J Food Microbiol; 2010 Jun 15; 140(2-3):254-62. PubMed ID: 20413170
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  • 58. [Microbial growth kinetics model of specific spoilage organisms and shelf life prediction for tilapia at fluctuating temperatures].
    Xu Z, Yang XS, Guo QY, Xiao LL.
    Wei Sheng Wu Xue Bao; 2005 Oct 15; 45(5):798-801. PubMed ID: 16342781
    [Abstract] [Full Text] [Related]

  • 59. Modeling the effect of temperature on growth of Salmonella in chicken.
    Juneja VK, Valenzuela Melendres M, Huang L, Gumudavelli V, Subbiah J, Thippareddi H.
    Food Microbiol; 2007 Jun 15; 24(4):328-35. PubMed ID: 17189758
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  • 60. Modelling effect of physical and chemical parameters on heat inactivation kinetics of hepatitis A virus in a fruit model system.
    Deboosere N, Legeay O, Caudrelier Y, Lange M.
    Int J Food Microbiol; 2004 May 15; 93(1):73-85. PubMed ID: 15135584
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