Laboratoire des Procédés Alimentaires et Microbiologiques, UMR Agro-Sup Dijon/Université de Bourgogne, France.
Int J Food Microbiol. 2013 May 15;163(2-3):180-3. doi: 10.1016/j.ijfoodmicro.2013.02.021. Epub 2013 Mar 6.
In order to assess the effect of the inoculum size on the time to visible growth for Penicillium chrysogenum, the correlation described by González et al. (González, H.H.L., Resnik, S.L., Vaamonde, G., 1987. Influence of inoculum size on growth rate and lag phase of fungi isolate from Argentine corn. International Journal of Food Microbiology 4, 111-117) was compared to the model introduced by Gougouli et al. (Gougouli, M., Kalantzi, K., Beletsiotis, E., Koutsoumanis, K.P., 2011. Development and application of predictive models for fungal growth as tools to improve quality control in yogurt production. Food Microbiology 28, 1453-1462). Based on the regression coefficient, the latter model performed better than the former one to fit the data obtained for P. chrysogenum grown on Potato Dextrose Agar at 25 °C. Inoculum sizes in the range 10(1)-10(5) spores were tested at 0.930, 0.950, 0.970, and 0.995 aw. By extrapolation of the straight line, the model of Gougouli et al. (2011) provided accurate estimations of the time to visible growth for a single spore inoculum, tvg (N=1). In order to avoid experiments at reduced water activities, the influence of water activity on the model parameters, and on the ratio tvg (N=1) over the germination time was assessed.
为了评估接种量对青霉素生长可见时间的影响,González 等人(González, H.H.L., Resnik, S.L., Vaamonde, G., 1987. 从阿根廷玉米中分离的真菌接种量对生长速率和潜伏期的影响。国际食品微生物学杂志 4, 111-117)所描述的相关性与 Gougouli 等人提出的模型(Gougouli, M., Kalantzi, K., Beletsiotis, E., Koutsoumanis, K.P., 2011. 预测真菌生长模型的开发和应用作为改善酸奶生产质量控制的工具。食品微生物学 28, 1453-1462)进行了比较。基于回归系数,后者模型比前者更能拟合在 25°C 下用马铃薯葡萄糖琼脂培养的青霉素的数据。在 0.930、0.950、0.970 和 0.995 aw 下,测试了 10(1)-10(5)个孢子范围内的接种量。通过直线外推,Gougouli 等人(2011)的模型提供了单个孢子接种时可见生长时间(tvg,N=1)的准确估计。为了避免在低水活度下进行实验,评估了水活度对模型参数的影响,以及 tvg(N=1)与发芽时间的比值。