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Volumn , Issue , 2007, Pages 110-125

Predictive models in microbiological risk assessment

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EID: 34250645282     PISSN: None     EISSN: None     Source Type: Book    
DOI: 10.1533/9781845692940.1.110     Document Type: Chapter
Times cited : (14)

References (14)
  • 1
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    • The logarithmic nature of thermal death curves
    • Bigelow W. The logarithmic nature of thermal death curves. J Infect Dis 1921, 29:528-538.
    • (1921) J Infect Dis , vol.29 , pp. 528-538
    • Bigelow, W.1
  • 2
    • 84886084289 scopus 로고    scopus 로고
    • Commission Codex Alimentarius, CAC, Rome
    • Commission Codex Alimentarius ALINORM 04/27/13 2004, CAC, Rome.
    • (2004) ALINORM 04/27/13
  • 4
    • 33745081571 scopus 로고    scopus 로고
    • Enterobacter sakazakii and other microorganisms in powdered infant formula
    • FAO/WHO, FAO/WHO, Rome
    • FAO/WHO Enterobacter sakazakii and other microorganisms in powdered infant formula. Microbiological risk assessment series no. 6 2004, FAO/WHO, Rome.
    • (2004) Microbiological risk assessment series no. 6
  • 6
    • 84890245782 scopus 로고    scopus 로고
    • International Commission on Microbiological Specifications for Foods
    • ICMSF, Kluwer Academic/Plenum Publishers, New York
    • ICMSF International Commission on Microbiological Specifications for Foods. Microorganisms in Foods 7. Microbiological Testing in Food Safety Management 2002, Kluwer Academic/Plenum Publishers, New York.
    • (2002) Microorganisms in Foods 7. Microbiological Testing in Food Safety Management
  • 7
    • 0037104998 scopus 로고    scopus 로고
    • Quantitative microbial risk assessment exemplified by Staphylococcus aureus in unripened cheese made from raw milk
    • Lindqvist R., Sylven S., Vagsholm I. Quantitative microbial risk assessment exemplified by Staphylococcus aureus in unripened cheese made from raw milk. Int J Food Microbiol 2002, 78:155-170.
    • (2002) Int J Food Microbiol , vol.78 , pp. 155-170
    • Lindqvist, R.1    Sylven, S.2    Vagsholm, I.3
  • 9
    • 0037061032 scopus 로고    scopus 로고
    • Modelling bacterial growth in quantitative microbiological risk assessment: is it possible?
    • Nauta M.J. Modelling bacterial growth in quantitative microbiological risk assessment: is it possible?. Int J Food Microbiol 2002, 73:297-304.
    • (2002) Int J Food Microbiol , vol.73 , pp. 297-304
    • Nauta, M.J.1
  • 10
    • 18044395773 scopus 로고    scopus 로고
    • Microbiological risk assessment models for partitioning and mixing during food handling
    • Nauta M.J. Microbiological risk assessment models for partitioning and mixing during food handling. Int J Food Microbiol 2005, 100:311-322.
    • (2005) Int J Food Microbiol , vol.100 , pp. 311-322
    • Nauta, M.J.1
  • 12
  • 13
    • 0032213476 scopus 로고    scopus 로고
    • Growth and inactivation models to be used in quantitative risk assessments
    • Van Gerwen S.J.C., Zwietering M.H. Growth and inactivation models to be used in quantitative risk assessments. J Food Prot 1998, 61:1541-1549.
    • (1998) J Food Prot , vol.61 , pp. 1541-1549
    • Van Gerwen, S.J.C.1    Zwietering, M.H.2
  • 14
    • 0023005727 scopus 로고
    • Sterility assurance and models for assessing airborne bacterial contamination
    • Whyte W. Sterility assurance and models for assessing airborne bacterial contamination. J Parenter Sci Technol 1986, 40:188-197.
    • (1986) J Parenter Sci Technol , vol.40 , pp. 188-197
    • Whyte, W.1


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