Devliegher F, Geeraerd A H, Versyck K J, Bernaert H, Van Impe J F, Debevere J
University of Ghent, Department of Food Technology and Nutrition, Belgium.
Int J Food Microbiol. 2000 Jun 30;58(1-2):93-106. doi: 10.1016/s0168-1605(00)00291-9.
Cooked meat products are often post-contaminated because of a packaging and/or slicing step after the pasteurisation process. The shelf life is therefore limited and can be extended by adding Na-lactate. A previously developed model for the spoilage of gas packed cooked meat products, including temperature, water activity and dissolved CO2 as independent variables, was extended with a fourth factor: the Na-lactate concentration in the aqueous phase of the meat product. Models were developed for the maximum specific growth rate mu(max) and the lag phase lambda of the specific spoilage organism Lactobacillus sake subsp. carnosum. Quadratic response surface equations were compared with extended Ratkowsky models. In general, response surface equations fitted the experimental data best but in the case of mu(max) the response surface model predicted illogical growth behaviour at low water activities and high Na-lactate concentrations. A extensive product validation of the mathematical models was performed by means of inoculated as well as naturally contaminated industrially prepared cooked meat products. The deviations of the experimentally determined versus predicted growth parameters in inoculated cooked meat products were in general small. Both types of models were also able to predict the shelf life of naturally contaminated cooked meat products, except for pâté where an under-estimation of the shelf life was predicted by the response surface equations. The validation studies revealed higher accuracy of the extended Ratkowsky models in comparison to the response surface equations. A significant shelf life extending effect of Na-lactate was predicted, which was more pronounced at low refrigerated temperatures. A synergistic effect has also been noticed between Na-lactate and carbon dioxide which, at least partly, could be explained by the pH-decreasing effect of CO2.
熟肉制品在巴氏杀菌后,由于包装和/或切片步骤,常常会受到二次污染。因此,其保质期有限,添加乳酸钠可延长保质期。之前开发的一个针对气调包装熟肉制品腐败变质的模型,将温度、水分活度和溶解二氧化碳作为自变量,现增加了第四个因素:肉制品水相中乳酸钠的浓度。针对特定腐败菌——肉酒香乳杆菌亚种的最大比生长速率μ(max)和延滞期λ建立了模型。将二次响应面方程与扩展的Ratkowsky模型进行了比较。总体而言,响应面方程对实验数据的拟合效果最佳,但在μ(max)的情况下,响应面模型在低水分活度和高乳酸钠浓度时预测出不符合逻辑的生长行为。通过对接种以及天然污染的工业制备熟肉制品进行广泛的产品验证,对接种熟肉制品中实验测定的生长参数与预测的生长参数之间的偏差总体较小。两种模型都能够预测天然污染熟肉制品的保质期,除了肉酱,响应面方程预测的保质期存在低估。验证研究表明,与响应面方程相比,扩展的Ratkowsky模型具有更高的准确性。预测了乳酸钠对保质期有显著的延长作用,在低温冷藏时更为明显。还注意到乳酸钠和二氧化碳之间存在协同效应,这至少部分可以用二氧化碳的pH降低效应来解释。