Authors Elahi and Fujikawa are with The United Graduate School of Veterinary Sciences, Gifu Univ., Fuchu, Tokyo, 183-8509, Japan.
Author Fujikawa is also with Laboratory of Veterinary Public Health, Faculty of Agriculture, Tokyo Univ. of Agriculture and technology, 3-5-8 Saiwai-cho, Fuchu, Tokyo, 183-8509, Japan.
J Food Sci. 2019 Jan;84(1):121-126. doi: 10.1111/1750-3841.14402. Epub 2018 Dec 12.
Staphylococcus aureus food poisoning, which is still a serious health problem worldwide, is caused by the intoxication of staphylococcal enterotoxin (SE). Among many types of SE, staphylococcal enterotoxin type A (SEA) is known to be the most responsible for S. aureus food poisoning worldwide. Several researchers have reported the modeling of growth/no growth boundaries for S. aureus with a logistic regression model. In this study, the boundaries of SEA production and S. aureus growth in broth were first performed with the logistic regression model, to evaluate the effects of environmental factors of temperature and salt. Consequently, the boundaries of SEA production and growth of S. aureus in temperature and salt concentration could be produced with the model in shaking and stationary cultures. The area where S. aureus cells would grow, but not produce SEA could be shown between the boundaries of SEA production and growth. Internal and external validations showed that the model could well describe and predict experimental results. Further, the maximum concentrations of SEA and cell population under various conditions of temperature and salt concentration were also compared between the shaking and stationary cultures. These results obtained in this study would become useful information in food industry to prevent S. aureus food poisoning outbreaks. PRACTICAL APPLICATION: Production/no production of staphylococcal enterotoxin A at various temperatures and salt concentrations in shaking and stationary cultures could be estimated well with a logistic regression model. Growth/no growth of staphylococcal cells under the same conditions was also well estimated with the model. The area where S. aureus cells would grow, but not produce SEA could be shown with the model. This present analysis would provide useful information in food industry to prevent staphylococcal food poisoning outbreaks.
金黄色葡萄球菌食物中毒仍然是一个全球性的严重健康问题,是由葡萄球菌肠毒素(SEA)中毒引起的。在众多类型的 SEA 中,金黄色葡萄球菌食物中毒在全球范围内最常由肠毒素 A(SEA)引起。一些研究人员已经报道了使用逻辑回归模型对金黄色葡萄球菌的生长/不生长界限进行建模。在这项研究中,首先使用逻辑回归模型对肉汤中 SEA 产生和金黄色葡萄球菌生长的边界进行了建模,以评估温度和盐度等环境因素的影响。因此,可以使用该模型在摇瓶和静置培养中产生 SEA 产生和金黄色葡萄球菌生长的温度和盐浓度边界。在 SEA 产生和生长边界之间,可以显示出金黄色葡萄球菌细胞生长但不产生 SEA 的区域。内部和外部验证表明,该模型可以很好地描述和预测实验结果。此外,还比较了在不同温度和盐浓度条件下,在摇瓶和静置培养中 SEA 和细胞群体的最大浓度。本研究获得的这些结果将成为食品工业中预防金黄色葡萄球菌食物中毒爆发的有用信息。
使用逻辑回归模型可以很好地估计在摇瓶和静置培养中不同温度和盐浓度下 SEA 的产生/不产生情况。在相同条件下,金黄色葡萄球菌细胞的生长/不生长情况也可以通过该模型很好地估计。可以使用该模型显示金黄色葡萄球菌细胞生长但不产生 SEA 的区域。本分析将为食品工业预防金黄色葡萄球菌食物中毒爆发提供有用信息。