Dimensionless analysis of the microbial growth rate dependence on sub-optimal temperatures

被引:16
作者
Dantigny, P [1 ]
机构
[1] ENSBANA, Microbiol Lab, INRA UA, F-21000 Dijon, France
关键词
model; temperature; growth rate; dimensionless;
D O I
10.1038/sj.jim.2900572
中图分类号
Q81 [生物工程学(生物技术)]; Q93 [微生物学];
学科分类号
071005 ; 0836 ; 090102 ; 100705 ;
摘要
The influence of sub-optimal temperatures (T) on the microbial growth rate (mu) has been assessed by means of dimensionless variables: T(dim) = [T-T(min)]/[T(opt)-T(min)] and mu(dim) = mu/mu(opt). T(min) represents the temperature at which there is no growth, T(opt) the optimum temperature at which the growth rate, mu(opt), is maximum. Data sets, growth rate vs temperature, have been taken from the literature for 12 organisms (psychrotrophs, mesophiles and thermophiles). In order to compare these organisms, the power law function has been used: [mu(dim)] = [T(dim)](alpha) The parameters mu(opt) and T(opt) are determined from direct readings whereas T(min) and alpha are estimated by means of a non-linear regression. An accurate estimation of T(min) is obtained providing low growth rate data are available. A wide range of optimal temperatures where the growth rate almost equals mu(opt) prevents one from obtaining a narrow confidence interval for cu. On the basis of the analysis hereafter developed, thermophiles are characterized by values of the power cu less than mesophiles and psychrotrophs. Almost all of these values are significantly different from two, previously determined for Staphylococcus xylosus and widely used for predicting the microbial growth in foods.
引用
收藏
页码:215 / 218
页数:4
相关论文
共 31 条
[1]   NEW MODIFIED SQUARE-ROOT AND SCHOOLFIELD MODELS FOR PREDICTING BACTERIAL-GROWTH RATE AS A FUNCTION OF TEMPERATURE [J].
ALBER, SA ;
SCHAFFNER, DW .
JOURNAL OF INDUSTRIAL MICROBIOLOGY, 1993, 12 (3-5) :206-210
[2]   EVALUATION OF DATA TRANSFORMATIONS USED WITH THE SQUARE ROOT AND SCHOOLFIELD MODELS FOR PREDICTING BACTERIAL-GROWTH RATE [J].
ALBER, SA ;
SCHAFFNER, DW .
APPLIED AND ENVIRONMENTAL MICROBIOLOGY, 1992, 58 (10) :3337-3342
[3]  
Banwart GJ., 1989, BASIC FOOD MICROBIOL, P101, DOI [10.1007/978-1-4684-6453-5_4, DOI 10.1007/978-1-4684-6453-5_4]
[4]   The rate of multiplication of Bacillus coli at different temperatures [J].
Barber, MA .
JOURNAL OF INFECTIOUS DISEASES, 1908, 5 (04) :379-400
[5]   Protoplasmic viscosity as determined by a temperature coefficient of biological reactions. [J].
Belehradek, J .
NATURE, 1926, 118 :478-480
[6]   Influence of temperature on biological processes. [J].
Belehradek, J .
NATURE, 1926, 118 :117-118
[7]   Transition rate kinetics from ethanol oxidation to glucose utilisation within a structured model of baker's yeast [J].
Dantigny, P ;
Gruber, M .
APPLIED MICROBIOLOGY AND BIOTECHNOLOGY, 1996, 45 (1-2) :199-203
[8]   Modeling of the aerobic growth of Saccharomyces cerevisiae on mixtures of glucose and ethanol in continuous culture [J].
Dantigny, P .
JOURNAL OF BIOTECHNOLOGY, 1995, 43 (03) :213-220
[9]  
DANTIGNY P, 1992, IFAC SYMP SERIES, V1992, P223
[10]   MODELING THE EFFECT OF TEMPERATURE ON THE GROWTH-RATE AND LAG TIME OF LISTERIA-INNOCUA AND LISTERIA-MONOCYTOGENES [J].
DUH, YH ;
SCHAFFNER, DW .
JOURNAL OF FOOD PROTECTION, 1993, 56 (03) :205-210