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黄曲霉毒素B1的产生:一个时间-水分活度-温度模型。

Aflatoxin B1 production: A time-water activity-temperature model.

作者信息

Marín Sonia, Aldars-García Laila, Molino Francisco, Ramos Antonio J, Sanchis Vicente

机构信息

Applied Mycology Unit, Department of Food Technology, Engineering and Science, University of Lleida, AGROTECNIO-CERCA Centre, Av. Rovira Roure 191, 25198, Lleida, Spain.

Applied Mycology Unit, Department of Food Technology, Engineering and Science, University of Lleida, AGROTECNIO-CERCA Centre, Av. Rovira Roure 191, 25198, Lleida, Spain.

出版信息

Fungal Biol. 2024 Dec;128(8 Pt B):2399-2407. doi: 10.1016/j.funbio.2024.03.003. Epub 2024 Mar 13.

DOI:10.1016/j.funbio.2024.03.003
PMID:39653487
Abstract

Aspergillus flavus occurs as a contaminant of various foods and animal feeds and can produce the mycotoxin aflatoxin B that is a danger to human and animal health. Here, we develop models to predict the behaviour of A. flavus in maize extract agar and maize grains. Growth and aflatoxin B production were recorded on maize extract agar at 20-35 °C and water activities from 0.84 to 0.90. We then obtained probability models-using temperature, water activity, and time as explanatory variables-based on data of growth and aflatoxin B production. Additional data were generated under two dynamically changing temperature regimes. Initial water activity, and relative humidity during incubation, were recorded. Predicted probability of growth under dynamic conditions based on models built under static conditions depended on the temperature regime and substrate, concordance ranging from 66 to 100%, with lower concordances obtained for aflatoxin B production prediction. Interestingly, aflatoxin B production was higher on maize grains than on maize extract agar. Moreover, this work suggests that the safe water activity for a cereal may depend on the previous water activity and temperatures which may have allowed fungal growth and so trigger later toxin production under water stress.

摘要

黄曲霉作为各种食品和动物饲料的污染物存在,并且能够产生对人类和动物健康构成危险的霉菌毒素黄曲霉毒素B。在此,我们建立模型来预测黄曲霉在玉米提取物琼脂和玉米粒中的行为。在20 - 35°C以及水分活度为0.84至0.90的条件下,记录了黄曲霉在玉米提取物琼脂上的生长情况以及黄曲霉毒素B的产生情况。然后,我们基于生长和黄曲霉毒素B产生的数据,以温度、水分活度和时间作为解释变量,得到了概率模型。在两种动态变化的温度条件下生成了额外的数据。记录了初始水分活度以及培养期间的相对湿度。基于在静态条件下建立的模型预测动态条件下的生长概率,这取决于温度条件和底物,一致性范围为66%至100%,对于黄曲霉毒素B产生的预测,一致性较低。有趣的是,玉米粒上黄曲霉毒素B的产量高于玉米提取物琼脂上的产量。此外,这项研究表明,谷物安全的水分活度可能取决于先前的水分活度和温度,这些条件可能允许真菌生长,从而在水分胁迫下引发后期毒素的产生。

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