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Modeling the growth and death kinetics of Salmonella in poultry litter as a function of pH and water activity

机译:模拟家禽垫料中沙门氏菌的生长和死亡动力学与pH和水分活度的关系

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Contaminated poultry litter, serving as a reservoir for Salmonella, can be linked to both food safety concerns when contaminated birds enter processing plants and environmental concerns when used as a fertilizer. Predictive modeling allows for the estimation of microbial growth or inactivation as a function of controlling environmental growth factors. A study was conducted to observe the combined effects of pH and water activity (A(w)) at a constant temperature on Salmonella populations in used turkey litter to predict microbial response over time. Litter, first pH-adjusted and then inoculated with a 3-strain Salmonella serovar cocktail to an initial concentration of approximately 10(7) cfu/g, was placed into individual sealed plastic containers with saturated salt solutions for controlling A(w). A balanced design including 3 A(w) values (0.84, 0.91, 0.96), 3 pH values (4, 7, 9), and a constant temperature of 30 degrees C was used, with litter samples periodically removed and analyzed for Salmonella populations, pH, and A(w). At each combination of environmental factors, the Churchill or exponential inactivation mathematical models were used to describe the growth and death of Salmonella over time. Salmonella populations exhibited growth (approximately 2 log) with little decline up to 42 d in litter environments of pH 7 and 9 and a A(w) of 0.96. As litter A(w) and pH levels were reduced, populations declined, with the most drastic reductions (approximately 5 log in 9 h) occurring in low-pH (4) and low-A(w) (0.84) environments. Generalized models for bacterial growth and death under grouped pH environments were successfully developed to predict Salmonella behavior in litter over time. These findings suggest that the best management practices and litter treatments that lower litter A(w) to < or =0.84 and pH to < or =4 are effective in reducing Salmonella populations. The use of a single equation to predict the growth and decline of Salmonella populations as a function of pH and A(w) has potential application for use in the development of effective pathogen control strategies at the farm level.
机译:受污染的家禽垫料可作为沙门氏菌的储存库,与受污染的禽类进入加工厂时的食品安全问题以及用作肥料的环境问题都可以联系在一起。预测模型允许根据控制环境生长因子来估计微生物的生长或灭活。进行了一项研究,观察在恒定温度下pH和水分活度(A(w))对用过的火鸡沙门氏菌沙门氏菌种群的综合影响,以预测随着时间的变化对微生物的反应。首先将pH调节过的垃圾,然后用3株沙门氏菌血清型混合物接种至初始浓度约为10(7)cfu / g,将其放入装有饱和盐溶液的单个密封塑料容器中,以控制A(w)。使用包括3个A(w)值(0.84、0.91、0.96),3个pH值(4、7、9)和30°C恒温的平衡设计,定期取出垫料样品并分析沙门氏菌种群,pH和A(w)。在每种环境因素组合下,丘吉尔或指数灭活数学模型用于描述沙门氏菌随时间的生长和死亡。沙门氏菌种群在pH值为7和9且A(w)为0.96的环境中生长(约2 log),直到42 d几乎没有下降。随着凋落物A(w​​)和pH值的降低,种群数量下降,在低pH(4)和低A(w)(0.84)的环境中,降幅最大(约9 h约5 log)。成功地建立了在分组pH环境下细菌生长和死亡的通用模型,以预测沙门氏菌随时间的行为。这些发现表明,将凋落物A(w​​)降至≤或= 0.84并将pH降低至≤或= 4的最佳管理方法和产仔处理可有效减少沙门氏菌种群。使用单个方程式预测沙门氏菌种群随pH和A(w)变化的增长和下降,在开发农场一级有效病原体控制策略方面具有潜在的应用价值。

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