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不同酒精度、盐度及酸碱度条件下醉泥螺中副溶血性弧菌的一级生长预测模型
引用本文:王梦雪,梁思源,张崇武,于劲松,叶泰,曹慧,徐斐,袁敏.不同酒精度、盐度及酸碱度条件下醉泥螺中副溶血性弧菌的一级生长预测模型[J].工业微生物,2019,49(4):27-33.
作者姓名:王梦雪  梁思源  张崇武  于劲松  叶泰  曹慧  徐斐  袁敏
作者单位:上海理工大学医疗器械与食品学院,上海,200093;山东电子职业技术学院,山东济南,250200
摘    要:通过分别控制酒精度、盐度、酸碱度三种单一变量腌制醉泥螺,测定醉泥螺中副溶血性弧菌的生长曲线,并采用SGompertz模型进行拟合,建立不同条件下的一级生长预测模型。结果表明酒精可以抑制副溶血性弧菌生长,而pH7.5和盐度3.3%的条件相对适合其生长。本文建立的醉泥螺中副溶血性弧菌在不同条件下的预测模型,可为醉泥螺安全性的预测、副溶血性弧菌的控制、工艺条件的改善提供依据。

关 键 词:醉泥螺  副溶血性弧菌  SGompertz模型  一级预测模型

First-order growth prediction model of Vibrio Parahaemolyticus in wine-soaked bullacta exarata with different alcohol,salinity and acidity
WANG Mengxue,LIANG Siyuan,ZHANG Chongwu,YU Jinsong,YE Tai,CAO Hui,XU Fei,YUAN Min.First-order growth prediction model of Vibrio Parahaemolyticus in wine-soaked bullacta exarata with different alcohol,salinity and acidity[J].Industrial Microbiology,2019,49(4):27-33.
Authors:WANG Mengxue  LIANG Siyuan  ZHANG Chongwu  YU Jinsong  YE Tai  CAO Hui  XU Fei  YUAN Min
Institution:(School of Medical Instrument and Food Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China;Shandong College of Electronic Technology, Shandong Jinan 250200, China)
Abstract:In this paper, the growth curve of Vibrio Parahaemolyticus in wine-soaked bullacta exarata was observed by controlling three single variables of alcohol, salinity and acidity. The SGompertz model was used to fit the model and the first-order growth prediction model under different conditions was established. The results showed that alcohol inhibited the growth of Vibrio Parahaemolyticus, while the conditions of pH 7.5 and salinity 3.3% were relatively suitable for the growth of Vibrio Parahaemolyticus. As a result, the established prediction model of Vibrio Parahaemolyticus in wine-soaked bullacta exarata under different conditions, could can provide basis for the prediction of safety of wine-soaked bullacta exarata, control of Vibrio Parahaemolyticus and improvement of technological conditions.
Keywords:wine-soaked bullacta exarata  Vibrio parahaemolyticus  SGompertz model  first-order growth prediction model
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