Mathematical modeling Pseudomonas spp. growth and microflora composition variation in Agaricus bisporus fruiting bodies during chilled storage

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