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Applicability of the Davey (linear Arrhenius) predictive model to the lag phase of microbial growth
Author(s) -
Davey K.R.
Publication year - 1991
Publication title -
journal of applied bacteriology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.889
H-Index - 156
eISSN - 1365-2672
pISSN - 0021-8847
DOI - 10.1111/j.1365-2672.1991.tb02933.x
Subject(s) - lag , arrhenius equation , linear regression , econometrics , distributed lag , statistics , regression analysis , linear relationship , environmental science , mathematics , chemistry , computer science , computer network , activation energy , organic chemistry
The empirical and quantitative (linear Arrhenius) model of Davey (1989a) was assessed against a range of published lag phase data, some of which included combined temperature—water activity as influencing factors while others had temperature as the sole influencing factor. For two large ( n ≧ 27) sets of combined temperature and water activity data, the model explained 74·2 and 86·4% of the variation in results, and for eight wide ranging data sets with temperature as the sole factor, it explained between 80·8 and 99·7% of the variation in results, with an overall mean of 95·7%. These published data included both Gram‐positive and Gram‐negative bacteria and a spore former. The model has four coefficients which can be obtained by relatively unsophisticated users with linear regression analyses on most desk top calculators or personal computers.