一种袋装鲜切蔬菜中荧光假单胞菌生长预测的方法

本发明公开了一种袋装鲜切蔬菜中荧光假单胞菌生长预测的方法,属于食品安全技术领域。所述方法通过建立气体交换模型,结合荧光假单胞菌生长预测模型,得到气体交换与荧光假单胞菌生长的耦合模型,从而较好的预测鲜切蔬菜中荧光假单胞菌的生长,在不破坏鲜切蔬菜产品包装的前提下,仅需知道鲜切蔬菜的呼吸参数、荧光假单胞菌自身参数、包装材料的气体透过率参数及经历的时间就能快速利用模型预测出鲜切蔬菜中荧光假单胞菌数量,从而实时监控鲜切蔬菜的货架期,省时省力且准确性较高。 The invention discloses a method for predicting the growth of pseudomonas f...

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LanguageChinese
Published 06.06.2025
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Summary:本发明公开了一种袋装鲜切蔬菜中荧光假单胞菌生长预测的方法,属于食品安全技术领域。所述方法通过建立气体交换模型,结合荧光假单胞菌生长预测模型,得到气体交换与荧光假单胞菌生长的耦合模型,从而较好的预测鲜切蔬菜中荧光假单胞菌的生长,在不破坏鲜切蔬菜产品包装的前提下,仅需知道鲜切蔬菜的呼吸参数、荧光假单胞菌自身参数、包装材料的气体透过率参数及经历的时间就能快速利用模型预测出鲜切蔬菜中荧光假单胞菌数量,从而实时监控鲜切蔬菜的货架期,省时省力且准确性较高。 The invention discloses a method for predicting the growth of pseudomonas fluorescens in bagged fresh-cut vegetables, and belongs to the technical field of food safety. According to the method, a coupling model of gas exchange and pseudomonas fluorescens growth is obtained by establishing a gas exchange model and combining a pseudomonas fluorescens growth prediction model, so that the growth of pseudomonas fluorescens in the fresh-cut vegetables is well predicted, and the yield of the fresh-cut vegetables is improved on the premise of not damaging the packaging of fresh-cut vegetable products. The number of the pseudomonas fluorescens in the fresh-cut vegetables can be quickly predicted by using the model only by knowing the respiration parameters of the fresh-cut vegetables, the paramete
Bibliography:Application Number: CN202210600235