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模拟不同温度和水分活度条件下奶酪中指示产毒真菌的生长和毒素产生情况

Modeling Growth and Toxin Production of Toxigenic Fungi Signaled in Cheese under Different Temperature and Water Activity Regimes.

作者信息

Camardo Leggieri Marco, Decontardi Simone, Bertuzzi Terenzio, Pietri Amedeo, Battilani Paola

机构信息

Department of Sustainable Crop Production-Università Cattolica del Sacro Cuore, Via E. Parmense, 84, 29122 Piacenza, Italy.

Institute of Food & Feed Science and Nutrition-Università Cattolica del Sacro Cuore, Via E. Parmense, 84, 29122 Piacenza, Italy.

出版信息

Toxins (Basel). 2016 Dec 24;9(1):4. doi: 10.3390/toxins9010004.

Abstract

The aim of this study was to investigate in vitro and model the effect of temperature (T) and water activity () conditions on growth and toxin production by some toxigenic fungi signaled in cheese. , , , , , , , were considered they were grown under different T (0-40 °C) and (0.78-0.99) regimes. The highest relative growth occurred around 25 °C; all the fungi were very susceptible to and 0.99 was optimal for almost all species (except for , = 0.96). The highest toxin production occurred between 15 and 25 °C and 0.96-0.99 . Therefore, during grana cheese ripening, managed between 15 and 22 °C, ochratoxin A (OTA), penitrem A (PA), roquefortine-C (ROQ-C) and mycophenolic acid (MPA) are apparently at the highest production risk. Bete and logistic function described fungal growth under different T and regimes well, respectively. Bete function described also STC, PA, ROQ-C and OTA production as well as function of T. These models would be very useful as starting point to develop a mechanistic model to predict fungal growth and toxin production during cheese ripening and to help advising the most proper setting of environmental factors to minimize the contamination risk.

摘要

本研究的目的是在体外研究并模拟温度(T)和水分活度()条件对奶酪中一些产毒真菌生长和毒素产生的影响。考虑了、、、、、、、,它们在不同的T(0 - 40°C)和(0.78 - 0.99)条件下生长。最高相对生长率出现在25°C左右;所有真菌对都非常敏感,0.99对几乎所有物种(除外, = 0.96)是最佳的。最高毒素产量出现在15至25°C和0.96 - 0.99之间。因此,在格拉纳奶酪成熟过程中,温度控制在15至22°C之间时,赭曲霉毒素A(OTA)、青霉震颤素A(PA)、罗克福汀 - C(ROQ - C)和霉酚酸(MPA)显然处于最高的产生风险中。贝特函数和逻辑函数分别很好地描述了不同T和条件下的真菌生长。贝特函数也描述了STC、PA、ROQ - C和OTA的产生以及T的函数。这些模型作为开发预测奶酪成熟过程中真菌生长和毒素产生的机理模型的起点,并有助于建议最适当的环境因素设置以最小化污染风险,将非常有用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7e05/5308237/8f45e17e8d50/toxins-09-00004-g001.jpg

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