Quantifying the growth variability of pathogenic and spoilage sporeforming microorganisms of interest for chilled foods using meta-analysis techniques

E. Gkogka; Y. Zhang; T. Abee; Y. Xiao

Quantifying the growth variability of pathogenic and spoilage sporeforming microorganisms of interest for chilled foods using meta-analysis techniques

E. Gkogka, Y. Zhang, T. Abee, Y. Xiao

Research output: Contribution to conference › Poster › Academic

Original language	English
Publication status	Published - 2015
Event	ICPMF9, International Conference on Predictive Modelling in Food, Rio de Janeiro (Brazil) - Rio de Janeiro, Brazil Duration: 8 Sept 2015 → 12 Sept 2015

Conference/symposium

Conference/symposium	ICPMF9, International Conference on Predictive Modelling in Food, Rio de Janeiro (Brazil)
Country/Territory	Brazil
City	Rio de Janeiro
Period	8/09/15 → 12/09/15

Access to Document

https://edepot.wur.nl/378641

Cite this

Gkogka, E., Zhang, Y., Abee, T., & Xiao, Y. (2015). Quantifying the growth variability of pathogenic and spoilage sporeforming microorganisms of interest for chilled foods using meta-analysis techniques. Poster session presented at ICPMF9, International Conference on Predictive Modelling in Food, Rio de Janeiro (Brazil), Rio de Janeiro, Brazil. https://edepot.wur.nl/378641

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author = "E. Gkogka and Y. Zhang and T. Abee and Y. Xiao",

year = "2015",

language = "English",

note = "ICPMF9, International Conference on Predictive Modelling in Food, Rio de Janeiro (Brazil) ; Conference date: 08-09-2015 Through 12-09-2015",

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Quantifying the growth variability of pathogenic and spoilage sporeforming microorganisms of interest for chilled foods using meta-analysis techniques. / Gkogka, E.; Zhang, Y.; Abee, T. et al.
2015. Poster session presented at ICPMF9, International Conference on Predictive Modelling in Food, Rio de Janeiro (Brazil), Rio de Janeiro, Brazil.

Research output: Contribution to conference › Poster › Academic

TY - CONF

T1 - Quantifying the growth variability of pathogenic and spoilage sporeforming microorganisms of interest for chilled foods using meta-analysis techniques

AU - Gkogka, E.

AU - Zhang, Y.

AU - Abee, T.

AU - Xiao, Y.

PY - 2015

Y1 - 2015

M3 - Poster

T2 - ICPMF9, International Conference on Predictive Modelling in Food, Rio de Janeiro (Brazil)

Y2 - 8 September 2015 through 12 September 2015

ER -