Gibson A M, Bratchell N, Roberts T A
AFRC Institute of Food Research, Bristol Laboratory, Langford, U.K.
Int J Food Microbiol. 1988 Mar;6(2):155-78. doi: 10.1016/0168-1605(88)90051-7.
The growth responses of salmonellae (mixed inoculum of Salmonella thompson, S. stanley and S. infantis) as affected by NaCl concentration, pH level and storage temperature were studied in laboratory medium. Growth curves were obtained at 5 concentrations of NaCl (0.5-4.5%, w/v), 5 pH levels (5.6-6.8) and 5 storage temperatures (10-30 degrees C). Sigmoid curves (Gompertz form) were fitted to the data and the curve parameters used to produce a polynomial model from which predicted growth curves could be generated for any combination of NaCl, pH and storage temperature within the limits studied. From those growth curves values for growth rate, generation time, lag time and other values such as time to a 1000-fold increase in numbers were derived. Such a model offers a cost-effective approach to understanding the microbial growth response in foods, and forms a data-base against which other controlling factors could be evaluated. Some problems of fitting curves to microbial growth data and of modelling such data are discussed.
在实验室培养基中研究了氯化钠浓度、pH值水平和储存温度对沙门氏菌（汤普森沙门氏菌、斯坦利沙门氏菌和婴儿沙门氏菌的混合接种物）生长反应的影响。在5种氯化钠浓度（0.5 - 4.5%，w/v）、5种pH值水平（5.6 - 6.8）和5种储存温度（10 - 30摄氏度）下获得了生长曲线。将S形曲线（冈珀茨形式）拟合到数据上，并使用曲线参数生成一个多项式模型，由此可以为所研究范围内氯化钠、pH值和储存温度的任何组合生成预测生长曲线。从这些生长曲线中得出了生长速率、代时、延迟期以及其他值，如数量增加1000倍所需的时间等。这样一个模型为理解食品中的微生物生长反应提供了一种经济有效的方法，并形成了一个数据库，据此可以评估其他控制因素。讨论了将曲线拟合到微生物生长数据以及对这些数据进行建模的一些问题。
