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首页> 外文期刊>Food microbiology >Modelling Aspergillus flavus growth and aflatoxins production in pistachio nuts
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Modelling Aspergillus flavus growth and aflatoxins production in pistachio nuts

机译：阿月浑子坚果中黄曲霉的生长和黄曲霉毒素产量的建模

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摘要

Aflatoxins (AFs) are the main contaminants in pistachio nuts. AFs production in pistachio has been attributed to Aspergillus flavus. The aim of this study was to apply existing models to predict growth and AFs production by an A. flavus isolated from pistachios as a function of moisture content and storage temperature of pistachios in order to test their usefulness and complementarities. A full factorial design was used: the moisture content levels assayed were 10,15, 20, 25 and 30% and incubation temperatures were 10,15, 20, 25, 30, 37 and 42 ℃. Both kinetic and probability models were built to predict growth of the strain under the assayed conditions. Among the assayed models, cardinal ones gave a good quality fit for radial growth rate data. Moreover, the progressive approach, which was developed based on a reduced number of experimental points led to an improved prediction in the validation step. This is quite significant as may allow for improved experimental designs, less costly than full factorial ones. Probability model proved to be concordant in 91% of the calibration set observations. Even though the validation set included conditions around the growtho-growth interface, there was a 100% agreement in the predictions from the data set (n = 16, cut off = 0.5) after 60 days. Similarly, the probability for AF presence was rightly predicted in 89% of the cases. According to our results EC maximum aflatoxin levels would be surpassed in a period as short as 1 month if pistachio nuts reach 20 ℃, unless %mc is <10%.
机译：黄曲霉毒素（AFs）是开心果中的主要污染物。开心果中的AF产生归因于黄曲霉。这项研究的目的是应用现有的模型来预测开心果中黄曲霉的生长和AF的产生，作为开心果的水分含量和储存温度的函数，以测试其有效性和互补性。采用全因子设计：水分含量分别为10、15、20、25和30％，孵育温度为10、15、20、25、30、37和42℃。建立动力学模型和概率模型以预测在测定条件下菌株的生长。在所分析的模型中，主要模型为径向增长率数据提供了良好的拟合质量。此外，基于减少的实验点数开发的渐进方法导致了验证步骤中改进的预测。这是非常重要的，因为可以允许改进实验设计，而其成本要低于全因子设计。概率模型证明与91％的校准集观测值一致。即使验证集包括生长/无增长界面周围的条件，但在60天后，数据集的预测（n = 16，截止= 0.5）中有100％的一致性。同样，在89％的病例中正确预测了出现AF的可能性。根据我们的结果，如果开心果达到20℃，则在短短1个月内就会超过EC最高的黄曲霉毒素水平，除非％mc <10％。

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  • 来源
    《Food microbiology》 |2012年第2期|p.378-388|共11页
  • 作者

    Sonia Mann; Antonio J. Ramos; V. Sanchis;

  • 作者单位

    Food Technology Department, Lleida University, XaRTA-UTPV, Agrotecnio Center, Rovira Rome 191, 25198 Lleida, Spain;

    Food Technology Department, Lleida University, XaRTA-UTPV, Agrotecnio Center, Rovira Rome 191, 25198 Lleida, Spain;

    Food Technology Department, Lleida University, XaRTA-UTPV, Agrotecnio Center, Rovira Rome 191, 25198 Lleida, Spain;

  • 收录信息 美国《科学引文索引》(SCI);美国《化学文摘》(CA);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    pistachios; aspergillus flavus; aflatoxins; predictive modelling; moisture content; temperature;

    机译：开心果;黄曲霉;黄曲霉毒素;预测模型;水分含量;温度;

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