2013
DOI: 10.1016/j.fm.2013.06.004
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Development and application of a predictive model of Aspergillus candidus growth as a tool to improve shelf life of bakery products

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Cited by 30 publications
(16 citation statements)
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“…The same Table 7 show that, there was a gradual increase in total mold and yeast it increased from 1.4 Â 10 2 cfu/g at zero time to 1.7 Â 10 3 cfu/g after 15 days of storage, but the rate of increase was lower in treated samples than the control ones. These results are in agreement with those obtained by Viuda et al (2010) and Huchet et al (2013).…”
Section: Storage Period (Days)supporting
confidence: 94%
See 1 more Smart Citation
“…The same Table 7 show that, there was a gradual increase in total mold and yeast it increased from 1.4 Â 10 2 cfu/g at zero time to 1.7 Â 10 3 cfu/g after 15 days of storage, but the rate of increase was lower in treated samples than the control ones. These results are in agreement with those obtained by Viuda et al (2010) and Huchet et al (2013).…”
Section: Storage Period (Days)supporting
confidence: 94%
“…It is clear that irradiated sample at 0.5 and 1 kGy greatly reduced the initial total counts of mold and yeast by 48% and 60% as the counts which reached to 1.3 Â 10 2 and 1.0 Â 10 2 cfu/ g, while no mold and yeast counts were detected in batte samples irradiated at 1.5, 2, 3 and 5 kGy. These results are in agreement with those obtained by Huchet et al (2013).…”
Section: 7supporting
confidence: 93%
“…As a check we calculated a separate analysis of data for another Ascomycota species. We fitted the thermodynamic model (equation 1) to growth rate data not used in the Bayesian model for the Ascomycota species Aspergillus candidus [26] using PROC NLIN from the SAS System, version 9.2. This was the same method used previously [15] and required several parameters to be held constant to achieve convergence.…”
Section: Resultsmentioning
confidence: 99%
“…Aiming at predicting the mold-free shelf life of food products, most studies in the literature were based on combining mycelium growth rate and lag time, with the latter being recognized as the most important contributing factor in the determination of shelf-life (Gougouli et al, 2011;Huchet et al, 2013). In the literature, studies on "lag time"…”
Section: Introductionmentioning
confidence: 99%
“…Nevertheless, so far, most of the mold growth studies have been conducted with inocula originated from a high number of spores (Dagnas et al, 2014;Gougouli and Koutsoumanis, 2010;Huchet et al, 2013;Marín et al, 2009;Morales et al, 2008;Sautour et al, 2003). In these cases, the population lag time is dominated by the shortest lag times observed at the individual level.…”
Section: Introductionmentioning
confidence: 99%