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在花生粉提取物琼脂中模拟温度和水分活度对黄曲霉生长速度和黄曲霉毒素产量的影响。

Modelling the effect of temperature and water activity on the growth rate of Aspergillus flavus and aflatoxin production in peanut meal extract agar.

机构信息

Faculty of Food Science and Technology, Universiti Putra Malaysia, 43400 Serdang, Selangor, Malaysia; Food Technology Division, School of Industrial Technology, Universiti Sains Malaysia, 11800 Minden, Pulau Pinang, Malaysia.

Faculty of Food Science and Technology, Universiti Putra Malaysia, 43400 Serdang, Selangor, Malaysia; Food Safety and Food Integrity, Institute of Tropical Agriculture and Food Security, Universiti Putra Malaysia, 43400 Serdang, Selangor, Malaysia.

出版信息

Int J Food Microbiol. 2020 Dec 16;335:108836. doi: 10.1016/j.ijfoodmicro.2020.108836. Epub 2020 Aug 22.

Abstract

Aspergillus flavus is the predominant species that produce aflatoxins in stored peanuts under favourable conditions. This study aimed to describe the growth and aflatoxin production by two A. flavus strains isolated from imported raw peanuts and to model the effects of temperature and a on their colony growth rate as a function of temperature and a in Peanut Meal Extract Agar (PMEA). A full factorial design with seven a levels (0.85-0.98 a) and five temperature levels (20-40 °C) was used to investigate the growth and aflatoxin production. Colony diameter was measured daily for 28 days while AFB and total aflatoxin were determined on day 3, 7, 14, and 21. The maximum colony growth rate, μ (mm/day) was estimated by using the primary model of Baranyi, and the μ was then fitted to the secondary model; second-order polynomial and linear Arrhenius-Davey to describe the colony growth rate as a function of temperature and a. The results indicated that both strains failed to grow at temperature of 20 °C with a <0.94 and a of 0.85 for all temperatures except 30 °C. The highest growth rate was observed at 30 °C, with 0.98 a for both strains. The analysis of variance showed a significant effect of strain, temperature, and a on the fungal growth and aflatoxin production (p < 0.05). Furthermore, both secondary models were in good agreement with the observed μ. However, the polynomial model was found to be a better predictor of the experimental data. A similar pattern was observed in aflatoxin production but in a narrower range of temperature (25-35 °C) and a (0.92-0.98 a). The highest production of aflatoxins was observed on day 21 at 30 °C with the a level of 0.98 for both strains. Overall, the current findings may help in improving the mycotoxin management and intervention strategies in peanuts, especially during storage.

摘要

黄曲霉是在有利条件下储存花生中产毒的主要菌种。本研究旨在描述从进口花生原料中分离出的两株黄曲霉菌株的生长和产毒情况,并建立黄曲霉菌在花生粉提取物琼脂(PMEA)中生长率与温度和 a 值关系的模型。采用完全因子设计,a 值设置 7 个水平(0.85-0.98 a),温度设置 5 个水平(20-40°C),以研究生长和产毒情况。在 28 天内每天测量菌落直径,在第 3、7、14 和 21 天测定 AFB 和总黄曲霉毒素。使用 Baranyi 的初步模型估计最大菌落生长率 μ(mm/天),然后将 μ 拟合到二次模型;二次多项式和线性 Arrhenius-Davey 模型来描述菌落生长率与温度和 a 值的关系。结果表明,在 a <0.94 和所有温度下的 a 为 0.85 时,两株菌均不能在 20°C 下生长,除 30°C 外。在所有菌株中,最高生长率出现在 30°C,a 为 0.98。方差分析表明,菌株、温度和 a 对真菌生长和产毒有显著影响(p<0.05)。此外,两种二次模型都与观察到的 μ 吻合良好,但多项式模型对实验数据的预测效果更好。产毒情况也呈现出类似的模式,但温度范围(25-35°C)和 a 值(0.92-0.98 a)较窄。在 30°C 时,两株菌的 a 值均为 0.98,在第 21 天观察到黄曲霉毒素的最高产量。总体而言,这些发现有助于改进花生中的霉菌毒素管理和干预策略,尤其是在储存期间。

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