D database of microbial inactivation. An innovative online resource for data analysis and meta-regression modeling in predictive microbiology

A. Garre Perez; K.Y. Yeak; G. Pampoukis; D.A. Battaggia; M.H. Zwietering; H.M.W. den Besten

D database of microbial inactivation. An innovative online resource for data analysis and meta-regression modeling in predictive microbiology

A. Garre Perez, K.Y. Yeak, G. Pampoukis, D.A. Battaggia, M.H. Zwietering, H.M.W. den Besten

Research output: Chapter in Book/Report/Conference proceeding › Abstract

Original language	English
Title of host publication	FoodMicro 2022 Abstract Book
Subtitle of host publication	Next Generation Challenges in Food Microbiology
Pages	66-66
Publication status	Published - 2022
Event	FoodMicro 2022 - 27th International ICFMH Conference: Next Generation Challenges in Food Microbiology - Megaron Athens International Conference Centre, Athens, Greece Duration: 28 Aug 2022 → 31 Aug 2022 http://foodmicro2022.com/

Conference

Conference	FoodMicro 2022 - 27th International ICFMH Conference
Country/Territory	Greece
City	Athens
Period	28/08/22 → 31/08/22
Internet address	http://foodmicro2022.com/

Access to Document

https://edepot.wur.nl/584402

D database of microbial inactivation. An innovative online resource for data analysis and meta-regression modeling in predictive microbiology
Alberto Garre Perez (Speaker)
30 Aug 2022
Activity: Talk or presentation › Oral presentation › Academic

Cite this

Garre Perez, A., Yeak, K. Y., Pampoukis, G., Battaggia, D. A., Zwietering, M. H., & den Besten, H. M. W. (2022). D database of microbial inactivation. An innovative online resource for data analysis and meta-regression modeling in predictive microbiology. In FoodMicro 2022 Abstract Book: Next Generation Challenges in Food Microbiology (pp. 66-66) https://edepot.wur.nl/584402

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title = "D database of microbial inactivation. An innovative online resource for data analysis and meta-regression modeling in predictive microbiology",

author = "{Garre Perez}, A. and K.Y. Yeak and G. Pampoukis and D.A. Battaggia and M.H. Zwietering and {den Besten}, H.M.W.",

year = "2022",

language = "English",

pages = "66--66",

booktitle = "FoodMicro 2022 Abstract Book",

note = "FoodMicro 2022 - 27th International ICFMH Conference : Next Generation Challenges in Food Microbiology ; Conference date: 28-08-2022 Through 31-08-2022",

url = "http://foodmicro2022.com/",

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Garre Perez, A, Yeak, KY , Pampoukis, G , Battaggia, DA , Zwietering, MH & den Besten, HMW 2022, D database of microbial inactivation. An innovative online resource for data analysis and meta-regression modeling in predictive microbiology. in FoodMicro 2022 Abstract Book: Next Generation Challenges in Food Microbiology. pp. 66-66, FoodMicro 2022 - 27th International ICFMH Conference, Athens, Greece, 28/08/22. <https://edepot.wur.nl/584402>

TY - CHAP

T1 - D database of microbial inactivation. An innovative online resource for data analysis and meta-regression modeling in predictive microbiology

AU - Garre Perez, A.

AU - Yeak, K.Y.

AU - Pampoukis, G.

AU - Battaggia, D.A.

AU - Zwietering, M.H.

AU - den Besten, H.M.W.

PY - 2022

Y1 - 2022

M3 - Abstract

SP - 66

EP - 66

BT - FoodMicro 2022 Abstract Book

T2 - FoodMicro 2022 - 27th International ICFMH Conference

Y2 - 28 August 2022 through 31 August 2022

ER -

D database of microbial inactivation. An innovative online resource for data analysis and meta-regression modeling in predictive microbiology

Conference

Access to Document

Activities

D database of microbial inactivation. An innovative online resource for data analysis and meta-regression modeling in predictive microbiology

Cite this