Sonia Marín, Laila Aldars-García, Francisco Molino, Antonio J. Ramos, Vicente Sanchis
{"title":"Aflatoxin B1 production: A time–water activity–temperature model","authors":"Sonia Marín, Laila Aldars-García, Francisco Molino, Antonio J. Ramos, Vicente Sanchis","doi":"10.1016/j.funbio.2024.03.003","DOIUrl":null,"url":null,"abstract":"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 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.","PeriodicalId":2,"journal":{"name":"ACS Applied Bio Materials","volume":null,"pages":null},"PeriodicalIF":4.6000,"publicationDate":"2024-03-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACS Applied Bio Materials","FirstCategoryId":"99","ListUrlMain":"https://doi.org/10.1016/j.funbio.2024.03.003","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"MATERIALS SCIENCE, BIOMATERIALS","Score":null,"Total":0}
引用次数: 0
Abstract
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 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.
玉米中的黄曲霉毒素是各种食品和动物饲料的污染物,可产生危害人类和动物健康的霉菌毒素黄曲霉毒素 B。在这里,我们建立了一些模型来预测玉米提取物琼脂和玉米粒中黄曲霉毒素的行为。我们记录了玉米提取物琼脂在 20-35 °C 和 0.84-0.90 水活度条件下的生长情况和黄曲霉毒素 B 产量。然后,我们根据生长和黄曲霉毒素 B 产量的数据,利用温度、水活度和时间作为解释变量,建立了概率模型。我们还在两种动态变化的温度条件下生成了其他数据。最初的水活性和培养过程中的相对湿度都被记录下来。根据静态条件下建立的模型预测的动态条件下的生长概率取决于温度制度和基质,吻合度从 66% 到 100% 不等,黄曲霉毒素 B 产量预测的吻合度较低。有趣的是,玉米粒上的黄曲霉毒素 B 产量高于玉米提取物琼脂。此外,这项研究还表明,谷物的安全水活性可能取决于以前的水活性和温度,因为以前的水活性和温度可能允许真菌生长,从而引发后来在水胁迫下产生毒素。