Title
Meta-Regression models describing the effects of essential oils and added lactic acid bacteria on pathogen inactivation in cheese
Date Issued
01 August 2021
Access level
open access
Resource Type
journal article
Author(s)
Instituto Politécnico de Bragança
Publisher(s)
Elsevier B.V.
Abstract
Biopreservatives such as plant-based antimicrobials and bacteriocinogenic starter cultures have been proposed as hurdles to increase microbiological safety of a variety of products, including cheese, and numerous studies have reported their pathogen inhibitory properties. For that reason, the objective of this meta-analysis was to summarise the inactivation of Listeria monocytogenes (LM), Staphylococcus aureus (SA) and Salmonella spp. (SS) in cheese attained by added lactic acid bacteria (LAB) and essential oils (EOs); and to compare the inhibitory effectiveness by application mode and specific antimicrobial. After systematic review, 1810 observations on log reduction data and study characteristics were extracted from 53 studies. Comparing among the factual methods of application of antimicrobials (in milk, cheese surface and incorporated in films), meta-regression models pointed out that addition of EOs to milk renders, as a whole, the lowest inhibitory effect against LM, SA and SS in the finished product; whereas for added LAB, incorporation in milk prompts a faster inactivation of LM than onto cheese surface. Lemon balm, sage and basil EOs showed the best inhibitory outcomes against LM and SA; whereas clove, oregano and bay EOs presented the highest bactericidal effect against SS. For a given increase in EO concentration, the application on cheese surface provides the greatest inhibitory effect against LM and SS, while EO-embedded films lead to a more rapid inactivation during maturation/storage. The experimental practice of inoculating the antimicrobial in cheese mixture should no longer be employed in challenge studies, since the meta-regression models have demonstrated that this application method biases the results, overestimating or underestimating the inhibitory effects of EOs or added LAB, respectively. This meta-analysis has also emphasised the need to further investigate the relationship between pathogen's inoculum size and their concentrations in time.
Volume
18
Language
English
OCDE Knowledge area
Otros temas de Biología
Alimentos y bebidas
Subjects
Scopus EID
2-s2.0-85089005957
Source
Microbial Risk Analysis
ISSN of the container
23523522
Sponsor(s)
The authors are grateful to EU PRIMA programme and the Portuguese Foundation for Science and Technology (FCT) for funding the ArtiSane Food project (PRIMA/0001/2018). This study was supported by the Portuguese Foundation for Science and Technology (FCT) under the scope of the strategic funding of UIDB/04469/2020 unit and BioTecNorte operation ( NORTE-01–0145-FEDER-000004 ) funded by the European Regional Development Fund under the scope of Norte2020 - Programa Operacional Regional do Norte. Ms. Silva wishes to acknowledge the financial support provided by FCT through the PhD grant SFRH/BD/137801/2018 . The authors are grateful to FCT and FEDER under Programme PT2020 for financial support to CIMO (UIDB/00690/2020). Dr. Gonzales-Barron acknowledges the national funding by FCT, P.I., through the Institutional Scientific Employment Programme contract.
Sources of information:
Directorio de Producción Científica
Scopus