Modelling microbiological and quality marker responses to enhance cold plasma cereal grain processing

  • Dana Ziuzina
  • , Agata Los
  • , Simen Akkermans
  • , Daniela Boehm
  • , Patrick J. Cullen
  • , Jan F.M. Van Impe
  • , Paula Bourke

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

This study employed response surface modelling to establish key process parameters for high voltage dielectric barrier discharge (HVDBD) atmospheric cold plasma (ACP) decontamination of cereal grains that were in alignment with maintenance of product critical quality parameters. Response surface modelling of experimental data probed the key factors in relation to microbial control and seed germination promotion. Depending on treatment parameters and target intrinsic characteristics, significant reduction of microbial contamination on wheat and barley grains was achieved. The efficacy of the plasma treatment (20 min) against microorganisms decreased in the following order: E. coli > P. verrucosum (spores) > B. atrophaeus (vegetative cells) > B. atrophaeus (endospores). Germination percentage of samples treated for up to 5 min was not affected, but it was decreased after 20 min of treatment. Overall, ACP was effective for cereal grain decontamination, however the diverse native micro-flora may pose greater resistance to the closed surface decontamination approach than the individual fungal or bacterial challenges.

Original languageEnglish
Title of host publication10th International Conference on Simulation and Modelling in the Food and Bio-Industry 2018, FOODSIM 2018
EditorsMonika E. Polanska, Jan F.M. Van Impe
PublisherEUROSIS
Pages229-234
Number of pages6
ISBN (Electronic)9789492859013
Publication statusPublished - 01 Jan 2018
Externally publishedYes
Event10th International Conference on Simulation and Modelling in the Food and Bio-Industry, FOODSIM 2018 - Ghent, Belgium
Duration: 08 Apr 201812 Apr 2018

Conference

Conference10th International Conference on Simulation and Modelling in the Food and Bio-Industry, FOODSIM 2018
Country/TerritoryBelgium
CityGhent
Period08/04/201812/04/2018

Keywords

  • Bacteria
  • Barley
  • Fungi
  • Germination
  • Plasma
  • Polynomial
  • Response surface modelling
  • Spores
  • Wheat

ASJC Scopus subject areas

  • Modelling and Simulation
  • Food Science

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