In silico logistic model for table olive related microorganisms as a function of sodium metabisulphite, cinnamaldehyde, pH, and type of acidifying agent

In silico logistic model for table olive related microorganisms as a function of sodium metabisulphite, cinnamaldehyde, pH, and type of acidifying agent

A probabilistic/logistic model, based on binary data (growth/no growth), was used to assess the effects of sodium metabisulphite (SM) and cinnamaldehyde (CIN) (0-1,000 mg/L) against the main microbial groups found in table olive environment (lactic acid bacteria (LAB), yeasts, and Enterobacteriaceae...

Full description

Bibliographic Details
Main Authors: Verónica Romero-Gil, Antonio Garrido-Fernández, Francisco Noé Arroyo López
Format: Article
Language:English
Published: Frontiers Media S.A. 2016-08-01
Series:Frontiers in Microbiology
Subjects:
Table Olives
Predictive Modeling
preservatives
sulphides
Cinnamaldehyde
Online Access:http://journal.frontiersin.org/Journal/10.3389/fmicb.2016.01370/full

Internet

http://journal.frontiersin.org/Journal/10.3389/fmicb.2016.01370/full

Similar Items