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Mathematical modeling Pseudomonas spp. growth and microflora composition variation in Agaricus bisporus fruiting bodies during chilled storage
Postharvest Biology and Technology ( IF 6.4 ) Pub Date : 2020-05-01 , DOI: 10.1016/j.postharvbio.2020.111144
Jie Li , Qi Wei , Linxiang Huang , Ting Fang , Bingzhi Chen , Yuji Jiang

Abstract The objective of this study was to determine the dominant microorganism in Agaricus bisporus fruiting bodies (ABFB) and to develop kinetic models to describe its growth. The variation in microflora composition in ABFB stored at 4 °C during storage was studied using 16S rDNA sequence analyses. ABFB presented complex microbial communities at the initial stage of storage (day 0), with the dominant microorganisms being Pseudomonas spp. along with small proportions of Pedobacter, Sphingobacterium, Bacillus, Corynebacterium, Lactobacillus, Sphingomonas, and Staphylococcus. On day 12, an increase of Pseudomonas spp. and a significant decrease of Pedobacter were observed. As the dominant spoilage microorganism during the storage, the relative abundance of Pseudomonas spp. showed an increasing trend. Additionally, samples inoculated with a cocktail of Pseudomonas spp., i.e., P. fluorescens, P. migulae, P. tolaasii, and P. agarici, were incubated at temperatures of 4, 10, 16, 20, 25, and 32 °C to assess their growth kinetics. Three primary models (Huang, Baranyi, and Reparameterized Gompertz model) and three secondary models (Huang square-root, Ratkowsky square-root, and Arrhenius-type model) were compared to evaluate the effect of temperature on bacterial growth using the Integrated Pathogen Modeling Program. The Reparameterized Gompertz model was a better fit than the Huang and Baranyi models to describe the growth of Pseudomonas spp., and had the lowest mean square error (MSE) and sum of squared errors (SSE) values, ranging from 0.012 to 0.291 and 0.059–1.783, respectively. Huang square-root model MSE and SSE values were 0.002 and 0.007, respectively, and its predicted minimum growth temperature was -0.72 °C. Therefore, the Huang square-root model was more suitable for describing the effect of temperature on growth of Pseudomonas spp. on ABFB. The models developed in this study can be used to evaluate the growth behavior of Pseudomonas spp. on ABFB and assess their shelf-life.

中文翻译:

数学建模假单胞菌属。冷藏期间双孢蘑菇子实体的生长和菌群组成变化

摘要 本研究的目的是确定双孢蘑菇子实体 (ABFB) 中的优势微生物,并开发描述其生长的动力学模型。使用 16S rDNA 序列分析研究了在 4°C 下储存的 ABFB 中微生物群落组成的变化。ABFB 在储存的初始阶段(第 0 天)呈现复杂的微生物群落,优势微生物是假单胞菌属。以及少量的足杆菌、鞘氨醇杆菌、芽孢杆菌、棒状杆菌、乳杆菌、鞘氨醇单胞菌和葡萄球菌。在第 12 天,假单胞菌属增加。并且观察到足杆菌的显着减少。作为储藏过程中的主要腐败微生物,假单胞菌属的相对丰度。呈上升趋势。此外,接种了假单胞菌混合物的样品,即荧光假单胞菌、P. miguulae、P. tolaasii 和 P. agarici,在 4、10、16、20、25 和 32 °C 的温度下孵育以评估它们的生长动力学。比较了三个主要模型(Huang、Baranyi 和 Reparameterized Gompertz 模型)和三个次要模型(Huang 平方根、Ratkowsky 平方根和 Arrhenius 型模型),以使用集成病原体建模评估温度对细菌生长的影响程序。Reparameterized Gompertz 模型比 Huang 和 Baranyi 模型更适合描述假单胞菌属的生长,并且具有最低的均方误差 (MSE) 和平方误差总和 (SSE) 值,范围从 0.012 到 0.291 和 0.059 –1.783,分别。Huang平方根模型MSE和SSE值分别为0.002和0.007,其预测的最低生长温度为-0.72°C。因此,Huang 平方根模型更适合描述温度对假单胞菌生长的影响。在 ABFB 上。本研究中开发的模型可用于评估假单胞菌属的生长行为。在 ABFB 上并评估其保质期。
更新日期:2020-05-01
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