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A combined discrete–continuous model describing the lag phase of ...

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180 R.C. McKellar, K. Knight / International Journal <strong>of</strong> Food Microbiology 54 (2000) 171 –180<br />

microbial growth: growth responses <strong>of</strong> salmonellae in a McKellar, R.C., 1997. A heterogeneous population <strong>model</strong> for <strong>the</strong><br />

laboratory medium as affected by pH, sodium chloride and analysis <strong>of</strong> bacterial growth kinetics. Int. J. Food Microbiol. 36,<br />

storage temperature. Int. J. Food Microbiol. 6, 155–178. 179–186.<br />

Grimm, V., 1999. Ten years <strong>of</strong> individual-based <strong>model</strong>ling in McKellar, R.C., 1998. A discrete adaptation <strong>model</strong> <strong>describing</strong> <strong>the</strong><br />

ecology: what have we learned and what could we learn in <strong>the</strong> <strong>lag</strong> <strong>phase</strong> <strong>of</strong> Listeria monocytogenes. 8th International Symfuture<br />

Ecol. Model. 115, 129–148.<br />

posium on Microbial Ecology.<br />

Hills, B.P., Mackey, B.M., 1995. Multi-compartment kinetic McMeekin, T.A., Olley, J.N., Ross, T., Ratkowsky, D.A., 1993.<br />

<strong>model</strong>s for injury, resuscitation, induced <strong>lag</strong> and growth in Predictive Microbiology – Theory and Application, Wiley,<br />

bacterial cell populations. Food Microbiol. 12, 333–346.<br />

New York.<br />

Hills, B.P., Wright, K.M., 1994. A new <strong>model</strong> for bacterial growth Miles, D.W., Ross, T., Olley, J., McMeekin, T.A., 1997. Developin<br />

heterogeneous systems. J. Theor. Biol. 168, 31–41.<br />

ment and evaluation <strong>of</strong> a predictive <strong>model</strong> for <strong>the</strong> effect <strong>of</strong><br />

Huchet, V., Thuault, D., Bourgeois, C.M., 1995. Development <strong>of</strong> a temperature and water activity on <strong>the</strong> growth rate <strong>of</strong> Vibrio<br />

<strong>model</strong> predicting <strong>the</strong> effects <strong>of</strong> pH, lactic acid, glycerol and parahaemolyticus. Int. J. Food Microbiol. 38, 133–142.<br />

sodium chloride content on <strong>the</strong> growth <strong>of</strong> vegetative cells <strong>of</strong> Neumeyer, K., Ross, T., McMeekin, T.A., 1997. Development <strong>of</strong><br />

Clostridium tyrobutyricum in a culture medium. Lait 75, 585– a predictive <strong>model</strong> to describe <strong>the</strong> effects <strong>of</strong> temperature and<br />

593. water activity on <strong>the</strong> growth <strong>of</strong> spoi<strong>lag</strong>e pseudomonads. Int. J.<br />

Hudson, J.A., 1994. Comparison <strong>of</strong> response surface <strong>model</strong>s for Food Microbiol. 38, 45–54.<br />

Listeria monocytogenes strains under aerobic conditions. Food Pin, C., Baranyi, J., 1998. Predictive <strong>model</strong>s as means to quantify<br />

Res. Int. 27, 53–59.<br />

<strong>the</strong> interactions <strong>of</strong> spoi<strong>lag</strong>e organisms. Int. J. Food Microbiol.<br />

Hudson, J.A., Mott, S.J., 1994. Comparison <strong>of</strong> <strong>lag</strong> times obtained 41, 59–72.<br />

from optical density and viable count data for a strain <strong>of</strong> Stephens, P.J., Joynson, J.A., Davies, K.W., Holbrook, R., Lappin-<br />

Pseudomonas fragi. J. Food Safety 14, 329–339.<br />

scott, H.M., Humphrey, T.J., 1997. The use <strong>of</strong> an automated<br />

Lomnicki, A., 1999. Individual-based <strong>model</strong>s and <strong>the</strong> individual- growth analyser to measure recovery times <strong>of</strong> single heatbased<br />

approach to population ecology. Ecol. Model. 115, 191– injured Salmonella cells. J. Appl. Microbiol. 83, 445–455.<br />

198. Willocx, F., Mercier, M., Hendrickx, M., Tobback, P., 1993.<br />

McClure, P.J., Cole, M.B., Davies, K.W., Anderson, W.A., 1993. Modelling <strong>the</strong> influence <strong>of</strong> temperature and carbon dioxide<br />

The use <strong>of</strong> automated tubidimetric data for <strong>the</strong> construction <strong>of</strong> upon <strong>the</strong> growth <strong>of</strong> Pseudomonas fluorescens. Food Microbiol.<br />

kinetic <strong>model</strong>s. J. Ind. Microbiol. 12, 277–285. 10, 159–173.

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