Wang Jianming, Chen Junran, Hu Yunfeng, Hu Hanyan, Liu Guohua, Yan Ruixiang
1 Key Laboratory of Food Nutrition and Safety, Ministry of Education, Tianjin University of Science and Technology, Tianjin 300457, People's Republic of China.
2 Tianjin Key Laboratory of Postharvest Physiology and Storage of Agricultural Products, National Engineering and Technology Research Center for Preservation of Agricultural Products, Tianjin 300384, People's Republic of China.
J Food Prot. 2017 Oct;80(10):1676-1681. doi: 10.4315/0362-028X.JFP-17-055.
For prediction of the shelf life of the mushroom Agaricus bisporus, the growth curve of the main spoilage microorganisms was studied under isothermal conditions at 2 to 22°C with a modified Gompertz model. The effect of temperature on the growth parameters for the main spoilage microorganisms was quantified and modeled using the square root model. Pseudomonas spp. were the main microorganisms causing A. bisporus decay, and the modified Gompertz model was useful for modelling the growth curve of Pseudomonas spp. All the bias factors values of the model were close to 1. By combining the modified Gompertz model with the square root model, a prediction model to estimate the shelf life of A. bisporus as a function of storage temperature was developed. The model was validated for A. bisporus stored at 6, 12, and 18°C, and adequate agreement was found between the experimental and predicted data.
为预测双孢蘑菇的货架期，在2至22°C等温条件下，采用改进的Gompertz模型研究了主要腐败微生物的生长曲线。利用平方根模型量化并模拟了温度对主要腐败微生物生长参数的影响。假单胞菌属是导致双孢蘑菇腐烂的主要微生物，改进的Gompertz模型可用于模拟假单胞菌属的生长曲线。该模型的所有偏差因子值均接近1。通过将改进的Gompertz模型与平方根模型相结合，建立了一个根据储存温度估算双孢蘑菇货架期的预测模型。该模型在6、12和18°C储存的双孢蘑菇上得到验证，实验数据与预测数据之间具有良好的一致性。
