Publication:
Influence of acid adaptation on the probability of germination of Clostridium sporogenes spores against pH, NaCl and time

Date

2020

Authors

Valero, Antonio
Olagüe Ramos, Elena
Medina Pradas, Eduardo
Garrido Fernández, Antonio
Romero Gil, Veronica
García Gimeno, Rosa María
Pérez Rodríguez, Fernando
Posada Izquierdo, Guiomar Denisse
Arroyo López, Francisco Noé

Director

Publisher

MDPI
Acceso abierto / Sarbide irekia
Artículo / Artikulua
Versión publicada / Argitaratu den bertsioa

Project identifier

Métricas Alternativas

Abstract

The Clostridium sp. is a large group of spore-forming, facultative or strictly anaerobic, Gram-positive bacteria that can produce food poisoning. The table olive industry is demanding alternative formulations to respond to market demand for the reduction of acidity and salt contents in final products. while maintaining the appearance of freshness of fruits. In this work, logistic regression models for non-adapted and acid-adapted Clostridium sp. strains were developed in laboratory medium to study the influence of pH, NaCl (%) and time on the probability of germination of their spores. A Clostridium sporogenes cocktail was not able to germinate at pH <5.0, although the adaptation of the strains produced an increase in the probability of germination at 5.0-5.5 pH levels and 6% NaCl concentration. At acidic pH values (5.0), the adapted strains germinated after 10 days of incubation, while those which were non-adapted required 15 days. At pH 5.75 and with 4% NaCl, germination of the adapted strains took place before 7 days, while several replicates of the non-adapted strains did not germinate after 42 days of storage. The model was validated in natural green olive brines with good results (>81.7% correct prediction cases). The information will be useful for the industry and administration to assess the safety risk in the formulation of new processing conditions in table olives and other fermented vegetables.

Description

Keywords

Clostridium, Logistic regression, Acid-adapted strains, Predictive models, Table olives, Fermented vegetables

Department

Agronomía, Biotecnología y Alimentación / Agronomia, Bioteknologia eta Elikadura

Faculty/School

Degree

Doctorate program

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