Preview
Sign-in for full Details 
Sign-in free and Explore the Exciting World of BiomedExperts:
- Over 1.500.000 Profiles
- More than 1.800 Organizations worldwide
- State of the Art Network Visualizations
- Manage your own Profile
- Locate Experts in your Country/Region
- Locate Experts in your 1. and 2. Level Network
- Connect to Experts Worldwide
find experts for
Sign-in to see more
2007:
Baert Katleen; Valero Antonio; De Meulenaer Bruno; Samapundo Simbarashe; Ahmed Monzur Morshed; Bo Li; Debevere Johan; Devlieghere Frank
Modeling the effect of temperature on the growth rate and lag phase of Penicillium expansum in apples.
International journal of food microbiology 2007;
118(
2):.
The objective of the present study was to develop validated models that describe the effect of storage temperature on the growth rate and lag phase of six Penicillium expansum strains. The growth of the selected strains was therefore studied on Apple Puree Agar Medium (APAM) at 30, 25, 16, 10, 4 and 2 degrees C. Growth rates and lag phases were estimated using linear regression. Several secondary models were evaluated and for the growth rate, a modification of the extended Ratkowsky model was selected. Regarding the lag phase, the Arrhenius-Davey model provided the best adjustment to the observed data. Model validation was performed in two steps. Firstly, the developed models were validated on APAM. The obtained bias factors (Bf) ranged from 0.91 to 1.14 and the accuracy factors (Af) were <1.2 for the validation performed on APAM, indicating that the models were good predictors of the true mean colony growth rate and lag phase. Afterwards, an external validation was carried out in apples. For the growth rate, Bf ranged from 0.64 to 0.81 and Af<1.39, indicating conservative predictions. On the contrary for the lag phase, a clear deviation was observed between predictions and observed values on apples (0.35<Bf<0.7 and Af>1.6). These results highlight that the use of simulation or synthetic media for the development of predictive models for the lag phase of moulds can lead to inadequate predictions and that a validation on the real food matrix is necessary. Application of the developed models is possible in the framework of Quantitative Risk Assessment to develop control strategies against blue mould rot in apple and enables the inclusion of strain variability. However, possible underestimation of the lag phase should be taken into account.
Post to CiteULike 
Sign in free and see...
Visualized networks:
See your personal network in
sophisticated graphical views
GeoTargeted Searches:
Locate experts around the world
and connect with global collaborators
Research Profiles:
See the visualized research activity
of experts around the globe
Sign-in to see more
