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首页> 外文期刊>Food microbiology >Time-course of germination, initiation of mycelium proliferation and probability of visible growth and detectable AFB1 production of an isolate of Aspergillus flavus on pistachio extract agar
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Time-course of germination, initiation of mycelium proliferation and probability of visible growth and detectable AFB1 production of an isolate of Aspergillus flavus on pistachio extract agar

机译:阿月浑子提取琼脂上黄曲霉分离株发芽的时间过程,菌丝体增殖的开始以及可见生长和可见AFB1产生的可能性

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摘要

The aim of this work was to assess the temporal relationship among quantified germination, mycelial growth and aflatoxin B_1 (AFB1) production from colonies coming from single spores, in order to find the best way to predict as accurately as possible the presence of AFB1 at the early stages of contamination. Germination, mycelial growth, probability of growth and probability of AFB1 production of an isolate of Aspergillus flavus were determined at 25 ℃ and two water activities (0.85 and 0.87) on 3% Pistachio Extract Agar (PEA). The percentage of germinated spores versus time was fitted to the modified Gom-pertz equation for the estimation of the germination parameters (geometrical germination time and germination rate). The radial growth curve for each colony was fitted to a linear model for the estimation of the apparent lag time for growth and the growth rate, and besides the time to visible growth was estimated. Binary data obtained from growth and AFB1 studies were modeled using logistic regression analysis. Both water activities led to a similar fungal growth and AFB1 production. In this study, given the suboptimal set conditions, it has been observed that germination is a stage far from the AFB1 production process. Once the probability of growth started to increase it took 6 days to produce AFB1, and when probability of growth was 100%, only a 40-57% probability of detection of AFB1 production was predicted. Moreover, colony sizes with a radius of 1-2 mm could be a helpful indicator of the possible AFB1 contamination in the commodity. Despite growth models may overestimate the presence of AFB1, their use would be a helpful tool for producers and manufacturers; from our data 5% probability of AFB1 production (initiation of production) would occur when a minimum of 60% probability of growth is observed. Legal restrictions are quite severe for these toxins, thus their control from the early stages of contamination throughout the food chain is of paramount importance.
机译:这项工作的目的是评估单个孢子菌落的定量萌发,菌丝体生长和黄曲霉毒素B_1(AFB1)产生之间的时间关系,以便找到最佳的方法来尽可能准确地预测AFB1的存在。污染的早期阶段。在25%的温度和3%开心果提取物琼脂(PEA)上的两个水分活度(0.85和0.87)下测定了黄曲霉菌株的萌发,菌丝生长,生长可能性和AFB1产生的可能性。将发芽孢子的百分比与时间拟合到改良的Gom-pertz方程中,以估算发芽参数(几何发芽时间和发芽率)。将每个菌落的放射状生长曲线拟合到线性模型,以估计表观生长滞后时间和生长速率,此外还估计可见生长的时间。使用logistic回归分析对从生长和AFB1研究获得的二进制数据进行建模。两种水活动均导致相似的真菌生长和AFB1产生。在这项研究中,鉴于设置条件欠佳,已经发现发芽是远离AFB1生产过程的一个阶段。一旦生长的可能性开始增加,就需要6天才能生产AFB1,而当生长的可能性为100%时,则只能预测出检测到AFB1产生的可能性为40-57%。此外,半径为1-2 mm的菌落大小可能是商品中AFB1可能污染的有用指示。尽管增长模型可能高估了AFB1的存在,但它们的使用对于生产商和制造商将是一个有用的工具;根据我们的数据,当观察到至少60%的增长概率时,将发生5%的AFB1生产(启动生产)的可能性。这些毒素的法律限制非常严格,因此从整个食物链的污染早期就对其进行控制至关重要。

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