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DAVIDE VALENTI

Impiego di un modello predittivo per la microflora del salame S. Angelo in corso di asciugature

  • Authors: Giuffrida, A; Valenti, D; Ziino, G; Panebianco, A
  • Publication year: 2008
  • Type: eedings
  • Key words: salame S.Angelo; asciugatura; modello predittivo; ispezione alimenti di origine animale
  • OA Link: http://hdl.handle.net/10447/46098

Abstract

The authors carried out a study in order to apply an interspecific competition model to predict the microflora behaviour of S.Angelo IGP salami during the ripening. They consider 3 bacterial population (Lactic Acid Bacteria, Enterobacteria and Listeria monocytogenes – LAB, Ent and Lmo) using the observed curves obtained in a previous work as validation. The model applied setting to 0 all interaction terms does not fit the observed curves while the introduction of 3 interaction terms (betaLmo/LAB = 0.65; betaEnt/LAB = 0.4; betaLmo/Ent = 0.18) produce a good agreement with the observed behaviour of all populations.