PREDICTIVE MICROBIOLOGY IN A DYNAMIC ENVIRONMENT - A SYSTEM-THEORY APPROACH

被引:41
作者
VANIMPE, JF [1 ]
NICOLAI, BM [1 ]
SCHELLEKENS, M [1 ]
MARTENS, T [1 ]
DEBAERDEMAEKER, J [1 ]
机构
[1] UNIV RESTAURANTS ALMA UZW,B-3000 LOUVAIN,BELGIUM
关键词
FOOD SAFETY; PREDICTIVE MODELING; SYSTEM THEORY;
D O I
10.1016/0168-1605(94)00140-2
中图分类号
TS2 [食品工业];
学科分类号
0832 ;
摘要
The main factors influencing the microbial stability of chilled prepared food products for which there is an increased consumer interest - are temperature, pH, and water activity. Unlike the pH and the water activity, the temperature may vary extensively throughout the complete production and distribution chain. The shelf life of this kind of foods is usually limited due to spoilage by common microorganisms, and the increased risk for food pathogens. In predicting the shelf life, mathematical models are a powerful tool to increase the insight in the different subprocesses and their interactions. However, the predictive value of the sigmoidal functions reported in the literature to describe a bacterial growth curve as an explicit function of time is only guaranteed at a constant temperature within the temperature range of microbial growth. As a result, they are less appropriate in optimization studies of a whole production and distribution chain. In this paper a more general modeling approach, inspired by system theory concepts, is presented if for instance time varying temperature profiles are to be taken into account. As a case study, we discuss a recently proposed dynamic model to predict microbial growth and inactivation under time varying temperature conditions from a system theory point of view. Further, the validity of this methodology is illustrated with experimental data of Brochothrix thermosphacta and Lactobacillus plantarum. Finally, we propose some possible refinements of this model inspired by experimental results.
引用
收藏
页码:227 / 249
页数:23
相关论文
共 23 条
[1]  
Bigelow, The logarithmic nature of thermal death time curves, Journal of Infectious Diseases, 29, (1921)
[2]  
De Baerdemaeker, Segerlind, Modelling heat transfer in foods using the finite element method, Journal of Food Process Engineering, 1, pp. 37-50, (1977)
[3]  
Gompertz, On the nature of the function expressive of the law of human mortality and on a new mode determining the value of life contingencies, Philosophical Transactions of the Royal Society of London, 115, pp. 513-585, (1825)
[4]  
Gould, Heat induced injury and inactivation, Mechanisms of Action of Food Preservation Procedures, pp. 11-42, (1989)
[5]  
Kohler, Heitzer, Hamer, Improved unstructured model describing temperature dependence of bacterial maximum specific growth rates, International Symposium on Environmental Biotechnology, pp. 511-514, (1991)
[6]  
Meffert, Story, aims, results and future of thermophysical properties work within COST 90, Physical Properties of Foods, pp. 229-267, (1983)
[7]  
Nadkarni, Hatton, Optimal nutrient retention during the thermal processing of conduction-heated canned foods application of the distributed minimum principle, Journal of Food Science, 50, pp. 1312-1321, (1985)
[8]  
Nicolai, De Baerdemaeker, Computation of heat conduction in materials with random variable thermophysical properties, International Journal for Numerical Methods in Engineering, 36, pp. 523-536, (1993)
[9]  
Nicolai, Van Impe, Martens, De Baerdemaeker, Experimental validation of a dynamic model for microbial growth and inactivation under time varying temperature conditions, (1995)
[10]  
Ratkowsky, Olley, McMeekin, Ball, Relationship between temperature and growth rate of bacterial cultures, J. Bacteriol., 149, pp. 1-5, (1982)