Van Impe JF - Search Results

1

On the selection of relevant environmental factors to predict microbial dynamics in solidified media.

Theys TE, Geeraerd AH, Devlieghere F, Van Impe JF. Theys TE, et al. Among authors: van impe jf. Food Microbiol. 2010 Apr;27(2):220-8. doi: 10.1016/j.fm.2009.10.005. Epub 2009 Oct 9. Food Microbiol. 2010. PMID: 20141939

2

Dynamic mathematical model to predict microbial growth and inactivation during food processing.

Van Impe JF, Nicolaï BM, Martens T, De Baerdemaeker J, Vandewalle J. Van Impe JF, et al. Appl Environ Microbiol. 1992 Sep;58(9):2901-9. doi: 10.1128/aem.58.9.2901-2909.1992. Appl Environ Microbiol. 1992. PMID: 1444404 Free PMC article.

3

Predictive microbiology in a dynamic environment: a system theory approach.

Van Impe JF, Nicolaï BM, Schellekens M, Martens T, De Baerdemaeker J. Van Impe JF, et al. Int J Food Microbiol. 1995 May;25(3):227-49. doi: 10.1016/0168-1605(94)00140-2. Int J Food Microbiol. 1995. PMID: 7654510

4

Effect of dissolved carbon dioxide and temperature on the growth of Lactobacillus sake in modified atmospheres.

Devlieghere F, Debevere J, Van Impe J. Devlieghere F, et al. Int J Food Microbiol. 1998 Jun 16;41(3):231-8. doi: 10.1016/s0168-1605(98)00052-x. Int J Food Microbiol. 1998. PMID: 9706791

5

Concentration of carbon dioxide in the water-phase as a parameter to model the effect of a modified atmosphere on microorganisms.

Devlieghere F, Debevere J, Van Impe J. Devlieghere F, et al. Int J Food Microbiol. 1998 Aug 18;43(1-2):105-13. doi: 10.1016/s0168-1605(98)00101-9. Int J Food Microbiol. 1998. PMID: 9761344

6

Application of artificial neural networks as a non-linear modular modeling technique to describe bacterial growth in chilled food products.

Geeraerd AH, Herremans CH, Cenens C, Van Impe JF. Geeraerd AH, et al. Among authors: van impe jf. Int J Food Microbiol. 1998 Oct 20;44(1-2):49-68. doi: 10.1016/s0168-1605(98)00127-5. Int J Food Microbiol. 1998. PMID: 9849784

7

Introducing optimal experimental design in predictive modeling: a motivating example.

Versyck KJ, Bernaerts K, Geeraerd AH, Van Impe JF. Versyck KJ, et al. Among authors: van impe jf. Int J Food Microbiol. 1999 Oct 1;51(1):39-51. doi: 10.1016/s0168-1605(99)00093-8. Int J Food Microbiol. 1999. PMID: 10563462

8

A prototype model structure for mixed microbial populations in homogeneous food products.

Dens EJ, Vereecken KM, Van Impe JF. Dens EJ, et al. Among authors: van impe jf. J Theor Biol. 1999 Dec 7;201(3):159-70. doi: 10.1006/jtbi.1999.1021. J Theor Biol. 1999. PMID: 10600360

9

On the design of optimal dynamic experiments for parameter estimation of a Ratkowsky-type growth kinetics at suboptimal temperatures.

Bernaerts K, Versyck KJ, Van Impe JF. Bernaerts K, et al. Among authors: van impe jf. Int J Food Microbiol. 2000 Mar 10;54(1-2):27-38. doi: 10.1016/s0168-1605(99)00140-3. Int J Food Microbiol. 2000. PMID: 10746572 Free article.

10

Predictive modeling of mixed microbial populations in food products: evaluation of two-species models.

Vereecken KM, Dens EJ, Van Impe JF. Vereecken KM, et al. Among authors: van impe jf. J Theor Biol. 2000 Jul 7;205(1):53-72. doi: 10.1006/jtbi.2000.2046. J Theor Biol. 2000. PMID: 10860700

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