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It is based on the thesis that microorganisms' growth and environment are reproducible, and can be modeled.<ref>{{Cite journal |last=Ross |first=T. |last2=McMeekin |first2=T. A. |date=November 1994 |title=Predictive microbiology |url=https://pubmed.ncbi.nlm.nih.gov/7873329/ |journal=International Journal of Food Microbiology |volume=23 |issue=3-4 |pages=241–264 |doi=10.1016/0168-1605(94)90155-4 |issn=0168-1605 |pmid=7873329}}</ref><ref>{{Cite web |title=Predictive Microbiology - an overview {{!}} ScienceDirect Topics |url=https://www.sciencedirect.com/topics/agricultural-and-biological-sciences/predictive-microbiology |access-date=2022-09-08 |website=Sciencedirect}}</ref> [[Temperature]], [[pH]] and [[water activity]] impact bacterial behavior. These factors can be changed to control [[food spoilage]].<ref name=":0" />
It is based on the thesis that microorganisms' growth and environment are reproducible, and can be modeled.<ref>{{Cite journal |last=Ross |first=T. |last2=McMeekin |first2=T. A. |date=November 1994 |title=Predictive microbiology |url=https://pubmed.ncbi.nlm.nih.gov/7873329/ |journal=International Journal of Food Microbiology |volume=23 |issue=3-4 |pages=241–264 |doi=10.1016/0168-1605(94)90155-4 |issn=0168-1605 |pmid=7873329}}</ref><ref>{{Cite web |title=Predictive Microbiology - an overview {{!}} ScienceDirect Topics |url=https://www.sciencedirect.com/topics/agricultural-and-biological-sciences/predictive-microbiology |access-date=2022-09-08 |website=Sciencedirect}}</ref> [[Temperature]], [[pH]] and [[water activity]] impact bacterial behavior. These factors can be changed to control [[food spoilage]].<ref name=":0" />


Models can be used to predict pathogen growth in foods. Models are developed starting with design, then development, then validation, and production of an interface to display results.<ref name=":0">{{Cite web |title=PMIP - Overview of Predictive Microbiology |url=https://portal.errc.ars.usda.gov/Overview.aspx |access-date=2022-09-08 |website=Predictive Microbiology Information Portal}}</ref>
Models can be used to predict pathogen growth in foods. Models are developed in several steps including design, development, validation, and production of an interface to display results <ref name=":0">{{Cite web |title=PMIP - Overview of Predictive Microbiology |url=https://portal.errc.ars.usda.gov/Overview.aspx |access-date=2022-09-08 |website=Predictive Microbiology Information Portal}}</ref>. Models can be classified attending to their objective in primary models (describing bacterial growth), secondary models (describing factors affecting bacterial growth) or tertiary models (computer software programs) <ref>{{cite book|publisher = Springer New York|isbn = 978-1-4614-5519-6 978-1-4614-5520-2|last1 = Perez-Rodriguez|first1 = Fernando|last2 = Valero|first2 = Antonio|title = Predictive Microbiology in Foods|location = New York, NY|date = 2013|url = http://link.springer.com/10.1007/978-1-4614-5520-2}}</ref>


==References==
==References==

Revision as of 11:19, 22 September 2022

Predictive Microbiology is the area of food microbiology where controlling factors in foods and responses of pathogenic and spoilage microorganisms are quantified and modelled by mathematical equations [1]

It is based on the thesis that microorganisms' growth and environment are reproducible, and can be modeled.[2][3] Temperature, pH and water activity impact bacterial behavior. These factors can be changed to control food spoilage.[4]

Models can be used to predict pathogen growth in foods. Models are developed in several steps including design, development, validation, and production of an interface to display results [4]. Models can be classified attending to their objective in primary models (describing bacterial growth), secondary models (describing factors affecting bacterial growth) or tertiary models (computer software programs) [5]

References

  1. ^ Dalgaard, Paw (2003). "PREDICTIVE MICROBIOLOGY". FAO corporate document repository. FOOD AND AGRICULTURE ORGANIZATION OF THE UNITED NATIONS.
  2. ^ Ross, T.; McMeekin, T. A. (November 1994). "Predictive microbiology". International Journal of Food Microbiology. 23 (3–4): 241–264. doi:10.1016/0168-1605(94)90155-4. ISSN 0168-1605. PMID 7873329.
  3. ^ "Predictive Microbiology - an overview | ScienceDirect Topics". Sciencedirect. Retrieved 2022-09-08.
  4. ^ a b "PMIP - Overview of Predictive Microbiology". Predictive Microbiology Information Portal. Retrieved 2022-09-08.
  5. ^ Perez-Rodriguez, Fernando; Valero, Antonio (2013). Predictive Microbiology in Foods. New York, NY: Springer New York. ISBN 978-1-4614-5519-6 978-1-4614-5520-2. {{cite book}}: Check |isbn= value: length (help)