中文摘要：本研究旨在评估黄曲霉单孢子或以浓缩接种点(~02500孢子)接种后，模拟的生长/产黄曲霉毒素的概率和生长动力学参数的差异。所观察到的差异表明接种浓度对预测模型的结果有很大影响，浓缩接种预计的生长/产AFB1时间比单孢菌落要早得多（长达902天）。因此用于生成预测真菌学实验数据的孢子数应仔细控制，以尽可能精确地预测食品中真菌的行为。
外文摘要：The objective of the present study was to assess the differences in modeled growth/AFB1 production probability and kinetic growth parameters for Aspergillus flavus inoculated as single spores or in a concentrated inoculation point (~02500 spores). The experiment was carried out at 2502°C and at two water activities (0.85 and 0.87) on pistachio extract agar (3%). Binary data obtained from growth and AFB1 studies were modeled using linear logistic regression analysis. The radial growth curve for each colony was fitted to a linear model for the estimation of the lag phase for growth and the mycelial growth rate. In general, radial growth rate and lag phase for growth were not normally distributed and both of them were affected by the inoculation type, with the lag phase for growth being more affected. Changing from the multiple spore to the single spore inoculation led to a delay of approximately 3–502days on the lag phase and higher growth rates for the multiple spore experiment were found. The same trend was observed on the probability models, with lower predicted probabilities when colonies came up from single spores, for both growth and AFB1 production probabilities. Comparing both types of models, it was concluded that a clear overestimation of the lag phase for growth occurred using the linear model, but only in the multiple spore experiment. Multiple spore inoculum gave very similar estimated time to reach some set probabilities (t10, t50 and t100) for growth or AFB1 production due to the abruptness of the logistic curve developed. The observed differences suggest that inoculum concentration greatly affects the outcome of the predictive models, the estimated times to growth/AFB1 production being much earlier for the concentrated inoculum than for a single spore colony (up to 902days). Thus the number of spores used to generate data in predictive mycology experiments should be carefully controlled in order to predict as accurately as possible the fungal behavior in a foodstuff.
外文关键词：Inoculum；Predictive models；Probability；Logistic regression；Mould growth；Aflatoxin；Aspergillus
作者：Aldars-Garcia, L；Sanchis, V；Ramos, AJ；Marin, S
作者单位：Univ Lleida
期刊名称：INTERNATIONAL JOURNAL OF FOOD MICROBIOLOGY
期刊影响因子：3.445
出版年份：2017
出版刊次：2
点击下载：在开心果提取物琼脂上进行单孢子与多孢子接种对黄曲霉生长动力学参数、模拟增长概率及产黄曲霉毒素B1的影响