Modelling the effect of temperature and water activity of Aspergillus flavus isolates from corn
The aim of this study was to model the effects of temperature (10-40°C) and a w (0.80-0.98), in two media (Czapek yeast agar: CYA; corn extract medium: CEM) on the growth rates and growth boundaries (growth-no growth interface) of three strains of A. flavus isolated from corn in Argentina. Both kine...
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| Acceso en línea: | https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_01681605_v156_n1_p60_Astoreca http://hdl.handle.net/20.500.12110/paper_01681605_v156_n1_p60_Astoreca |
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paper:paper_01681605_v156_n1_p60_Astoreca2023-06-08T15:17:19Z Modelling the effect of temperature and water activity of Aspergillus flavus isolates from corn Vaamonde, Graciela A w Aspergillus flavus Kinetic model Probability model Temperature article Aspergillus flavus fungal contamination fungal strain fungus growth fungus isolation maize microbial kinetics temperature sensitivity Agar Aspergillus flavus Colony Count, Microbial Food Microbiology Food Safety Kinetics Models, Biological Temperature Water Zea mays Aspergillus flavus Zea mays The aim of this study was to model the effects of temperature (10-40°C) and a w (0.80-0.98), in two media (Czapek yeast agar: CYA; corn extract medium: CEM) on the growth rates and growth boundaries (growth-no growth interface) of three strains of A. flavus isolated from corn in Argentina. Both kinetic and probability models were applied to colony growth data. The growth rates obtained in CYA were significantly (p<0.05) greater than those obtained in CEM medium. No significant differences (p<0.05) were observed among the three isolates. The growth rate data showed a good fit to the Rosso cardinal models combined with the gamma-concept with R 2=0.98-0.99 and RMSE=0.60-0.78, depending on media and isolates. The probability model allowed prediction of safe storage (p of growth <0.01) for one month for moist maize (e.g. 0.90 a w) provided temperature is under 15°C, or for dry maize (e.g. 0.80 a w) provided temperature is under 27°C. Storage at <0.77 a w would be safe regardless of the storage temperature. Probability models allow evaluation of the risk of fungal contamination in the process of storage, so the results obtained in this study may be useful for application in systems of food safety management. © 2012. Fil:Vaamonde, G. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. 2012 https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_01681605_v156_n1_p60_Astoreca http://hdl.handle.net/20.500.12110/paper_01681605_v156_n1_p60_Astoreca |
| institution |
Universidad de Buenos Aires |
| institution_str |
I-28 |
| repository_str |
R-134 |
| collection |
Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA) |
| topic |
A w Aspergillus flavus Kinetic model Probability model Temperature article Aspergillus flavus fungal contamination fungal strain fungus growth fungus isolation maize microbial kinetics temperature sensitivity Agar Aspergillus flavus Colony Count, Microbial Food Microbiology Food Safety Kinetics Models, Biological Temperature Water Zea mays Aspergillus flavus Zea mays |
| spellingShingle |
A w Aspergillus flavus Kinetic model Probability model Temperature article Aspergillus flavus fungal contamination fungal strain fungus growth fungus isolation maize microbial kinetics temperature sensitivity Agar Aspergillus flavus Colony Count, Microbial Food Microbiology Food Safety Kinetics Models, Biological Temperature Water Zea mays Aspergillus flavus Zea mays Vaamonde, Graciela Modelling the effect of temperature and water activity of Aspergillus flavus isolates from corn |
| topic_facet |
A w Aspergillus flavus Kinetic model Probability model Temperature article Aspergillus flavus fungal contamination fungal strain fungus growth fungus isolation maize microbial kinetics temperature sensitivity Agar Aspergillus flavus Colony Count, Microbial Food Microbiology Food Safety Kinetics Models, Biological Temperature Water Zea mays Aspergillus flavus Zea mays |
| description |
The aim of this study was to model the effects of temperature (10-40°C) and a w (0.80-0.98), in two media (Czapek yeast agar: CYA; corn extract medium: CEM) on the growth rates and growth boundaries (growth-no growth interface) of three strains of A. flavus isolated from corn in Argentina. Both kinetic and probability models were applied to colony growth data. The growth rates obtained in CYA were significantly (p<0.05) greater than those obtained in CEM medium. No significant differences (p<0.05) were observed among the three isolates. The growth rate data showed a good fit to the Rosso cardinal models combined with the gamma-concept with R 2=0.98-0.99 and RMSE=0.60-0.78, depending on media and isolates. The probability model allowed prediction of safe storage (p of growth <0.01) for one month for moist maize (e.g. 0.90 a w) provided temperature is under 15°C, or for dry maize (e.g. 0.80 a w) provided temperature is under 27°C. Storage at <0.77 a w would be safe regardless of the storage temperature. Probability models allow evaluation of the risk of fungal contamination in the process of storage, so the results obtained in this study may be useful for application in systems of food safety management. © 2012. |
| author |
Vaamonde, Graciela |
| author_facet |
Vaamonde, Graciela |
| author_sort |
Vaamonde, Graciela |
| title |
Modelling the effect of temperature and water activity of Aspergillus flavus isolates from corn |
| title_short |
Modelling the effect of temperature and water activity of Aspergillus flavus isolates from corn |
| title_full |
Modelling the effect of temperature and water activity of Aspergillus flavus isolates from corn |
| title_fullStr |
Modelling the effect of temperature and water activity of Aspergillus flavus isolates from corn |
| title_full_unstemmed |
Modelling the effect of temperature and water activity of Aspergillus flavus isolates from corn |
| title_sort |
modelling the effect of temperature and water activity of aspergillus flavus isolates from corn |
| publishDate |
2012 |
| url |
https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_01681605_v156_n1_p60_Astoreca http://hdl.handle.net/20.500.12110/paper_01681605_v156_n1_p60_Astoreca |
| work_keys_str_mv |
AT vaamondegraciela modellingtheeffectoftemperatureandwateractivityofaspergillusflavusisolatesfromcorn |
| _version_ |
1768546296144068608 |