Related Experiment Videos
Basis of predictive mycology
Philippe Dantigny1, Audrey Guilmart, Maurice Bensoussan
1Laboratoire de Microbiologie, ENS.BANA, UMR INRA 1232-Université de Bourgogne, 1 Esplanade Erasme, F-21000 Dijon, France. phdant@u-bourgogne.fr
International Journal of Food Microbiology
|April 28, 2005
Summary
Predictive microbiology models for food safety have historically focused on bacteria. This review highlights the need for specific fungal models, considering unique mould characteristics for accurate predictions.
Area of Science:
- Food microbiology
- Predictive modeling
- Mycology
Background:
- Predictive microbiology has predominantly focused on food-pathogenic bacteria for over two decades.
- There is a significant gap in research concerning the modeling of fungal development in food systems.
- Existing modeling tools are often developed for bacteria, leading to their inappropriate application to fungi.
Purpose of the Study:
- To review existing studies on fungal modeling in food.
- To highlight the limitations of applying bacterial models to fungal prediction.
- To advocate for the development and use of specific models for fungal germination and growth.
Main Methods:
- Literature review of fungal modeling studies.
- Analysis of the differences between bacterial and fungal growth characteristics.
- Synthesis of current knowledge on predictive modeling in food mycology.
Main Results:
- Few studies have addressed the modeling of fungal development in food.
- A tendency exists to adapt bacterial models for fungal prediction, overlooking specific fungal traits.
- Previous research has advocated for tailored models for predicting fungal germination and growth.
Conclusions:
- Specific models are necessary for accurate prediction of fungal behavior in food.
- Addressing the lack of familiarity with modeling techniques among mycologists is crucial.
- Further research and development of fungal-specific predictive models are essential for food safety.