Modelling the growth of pear postharvest fungal isolates at different temperatures. (December 2018)
- Record Type:
- Journal Article
- Title:
- Modelling the growth of pear postharvest fungal isolates at different temperatures. (December 2018)
- Main Title:
- Modelling the growth of pear postharvest fungal isolates at different temperatures
- Authors:
- Sardella, Davide
Gatt, Ruben
Valdramidis, Vasilis P. - Abstract:
- Abstract: The effect of temperature on the mycelium growth kinetics of four postharvest fungal isolates (i.e., Penicillium expansum, Alternaria alternata, Botrytis cinerea and Rhizopus stolonifer ) was assessed. A cardinal model with inflection (CMI) was used to describe the effect of the temperature on the growth rate ( μ ) and the lag time ( λ ) of each isolate. Cardinal temperature values such as T min, T max and T opt were estimated and isolates were sorted according to their growth rate and lag time duration. Additionally, model validation was performed on a medium prepared from mashed pear pulp and on artificially wound-inoculated pear fruits. P. expansum was shown to be the most psychotrophic fungus with the lowest estimated T min = −8.78. Model validation on pear pulp agar showed growth rate over-prediction in the case of R. stolonifer and B. cinerea but a good correlation in the case of P. expansum and A. alternata . In vivo experiments on pear fruits showed discrepancies from the synthetic and the simulated counterparts for all the fungi with the only exception of P. expansum . Highlights: Cardinal model estimated accurately the growth rate of postharvest fungi. R. stolonifer shows the highest estimated growth rate on a synthetic medium. Validation on pear pulp showed overprediction for R. stolonifer and B. cinerea . Model had good validation capacity for P. expansum and A. alternata . It is imperative to validate fungal models with in vivo fresh pear fruit.
- Is Part Of:
- Food microbiology. Volume 76(2018)
- Journal:
- Food microbiology
- Issue:
- Volume 76(2018)
- Issue Display:
- Volume 76, Issue 2018 (2018)
- Year:
- 2018
- Volume:
- 76
- Issue:
- 2018
- Issue Sort Value:
- 2018-0076-2018-0000
- Page Start:
- 450
- Page End:
- 456
- Publication Date:
- 2018-12
- Subjects:
- Postharvest -- CMI -- Pears -- Nutrients -- Predictive mycology
Food Microbiology -- Periodicals
Aliments -- Microbiologie -- Périodiques
Food -- Microbiology
Periodicals
Food -- Microbiology -- Periodicals
Food contamination -- Periodicals
664.001579 - Journal URLs:
- http://firstsearch.oclc.org ↗
http://firstsearch.oclc.org/journal=0740-0020;screen=info;ECOIP ↗
http://www.sciencedirect.com/science/journal/07400020 ↗
http://www.sciencedirect.com/ ↗ - DOI:
- 10.1016/j.fm.2018.07.010 ↗
- Languages:
- English
- ISSNs:
- 0740-0020
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3981.300000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 18018.xml