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Meta-analysis of in vitro antimicrobial capacity of extracts and essential oils of Syzygium aromaticum, Citrus L. and Origanum L.: contrasting the results of different antimicrobial susceptibility methods

2023Journal article Open access
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dc.contributor.authorSilva, Beatriz Nunes
dc.contributor.authorBonilla-Luque, Olga María
dc.contributor.authorPossas, Arícia
dc.contributor.authorEzzaky, Youssef
dc.contributor.authorElmoslih, Abdelkhaleq
dc.contributor.authorTeixeira, José António
dc.contributor.authorAchemchem, Fouad
dc.contributor.authorValero, Antonio
dc.contributor.authorCadavez, Vasco
dc.contributor.authorGonzales-Barron, Ursula
dc.date.accessioned2023-07-17T11:00:25Z
dc.date.available2023-07-17T11:00:25Z
dc.date.issued2023
dc.description.abstractDiffusion methods, including agar disk-diffusion and agar well-diffusion, as well as dilution methods such as broth and agar dilution, are frequently employed to evaluate the antimicrobial capacity of extracts and essential oils (EOs) derived from Origanum L., Syzygium aromaticum, and Citrus L. The results are reported as inhibition diameters (IDs) and minimum inhibitory concentrations (MICs), respectively. In order to investigate potential sources of variability in antimicrobial susceptibility testing results and to assess whether a correlation exists between ID and MIC measurements, meta-analytical regression models were built using in vitro data obtained through a systematic literature search. The pooled ID models revealed varied bacterial susceptibilities to the extracts and in some cases, the plant species and methodology utilised impacted the measurements obtained (p < 0.05). Lemon and orange extracts were found to be most effective against E. coli (24.4 ± 1.21 and 16.5 ± 0.84 mm, respectively), while oregano extracts exhibited the highest level of effectiveness against B. cereus (22.3 ± 1.73 mm). Clove extracts were observed to be most effective against B. cereus and demonstrated the general trend that the well-diffusion method tends to produce higher ID (20.5 ± 1.36 mm) than the disk-diffusion method (16.3 ± 1.40 mm). Although the plant species had an impact on MIC, there is no evidence to suggest that the methodology employed had an effect on MIC (p > 0.05). The ID–MIC model revealed an inverse correlation (R2 = 47.7%) and highlighted the fact that the extract dose highly modulated the relationship (p < 0.0001). The findings of this study encourage the use of extracts and EOs derived from Origanum, Syzygium aromaticum, and Citrus to prevent bacterial growth. Additionally, this study underscores several variables that can impact ID and MIC measurements and expose the correlation between the two types of results.pt_PT
dc.description.sponsorshipThe authors are grateful to the EU PRIMA program and the Portuguese Foundation for Science and Technology (FCT) for funding the ArtiSaneFood project (PRIMA/0001/2018) and for financial support through national funds FCT/MCTES to CIMO (UIDB/00690/2020). This study was supported by 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. B.N. Silva acknowledges the financial support provided by FCT through the Ph.D. grant SFRH/BD/137801/2018. U. Gonzales-Barron acknowledges the through the Institutional Scientific Employment Program contract.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationSilva, Beatriz Nunes; Bonilla-Luque, Olga María; Possas, Arícia; Ezzaky, Youssef; Elmoslih, Abdelkhaleq; Teixeira, José António; Achemchem, Fouad; Valero, Antonio; Cadavez, Vasco; Gonzales-Barron, Ursula (2023). Meta-analysis of in vitro antimicrobial capacity of extracts and essential oils of Syzygium aromaticum, Citrus L. and Origanum L.: contrasting the results of different antimicrobial susceptibility methods. Foods. eISSN 2304-8158. 12:6, p. 1-20pt_PT
dc.identifier.doi10.3390/foods12061265pt_PT
dc.identifier.issn2304-8158
dc.identifier.urihttp://hdl.handle.net/10198/28542
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherMDPIpt_PT
dc.relationInnovative Bio-interventions and Risk Modelling Approaches for Ensuring Microbial Safety and Quality of Mediterranean Artisanal Fermented Foods
dc.relationMountain Research Center
dc.relationCentre of Biological Engineering of the University of Minho
dc.relationProbability of growth modelling to optimise the use of biopreservation technologies to control the development of Staphylococcus aureus in goat’s raw milk soft cheeses
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectFoodborne pathogenspt_PT
dc.subjectInhibition diameterpt_PT
dc.subjectMinimum inhibitory concentrationpt_PT
dc.subjectMeta-regressionpt_PT
dc.subjectMixed-effects modelpt_PT
dc.titleMeta-analysis of in vitro antimicrobial capacity of extracts and essential oils of Syzygium aromaticum, Citrus L. and Origanum L.: contrasting the results of different antimicrobial susceptibility methodspt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.awardTitleInnovative Bio-interventions and Risk Modelling Approaches for Ensuring Microbial Safety and Quality of Mediterranean Artisanal Fermented Foods
oaire.awardTitleMountain Research Center
oaire.awardTitleCentre of Biological Engineering of the University of Minho
oaire.awardTitleProbability of growth modelling to optimise the use of biopreservation technologies to control the development of Staphylococcus aureus in goat’s raw milk soft cheeses
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/3599-PPCDT/PRIMA%2F0001%2F2018/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F00690%2F2020/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F04469%2F2020/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/POR_NORTE/SFRH%2FBD%2F137801%2F2018/PT
oaire.citation.issue6pt_PT
oaire.citation.startPage1265pt_PT
oaire.citation.titleFoodspt_PT
oaire.citation.volume12pt_PT
oaire.fundingStream3599-PPCDT
oaire.fundingStream6817 - DCRRNI ID
oaire.fundingStream6817 - DCRRNI ID
oaire.fundingStreamPOR_NORTE
person.familyNameSilva
person.familyNameCadavez
person.familyNameGonzales-Barron
person.givenNameBeatriz Nunes
person.givenNameVasco
person.givenNameUrsula
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person.identifier.ciencia-id441B-01AB-A12E
person.identifier.ciencia-id0813-C319-B62A
person.identifier.orcid0000-0002-7571-031X
person.identifier.orcid0000-0002-3077-7414
person.identifier.orcid0000-0002-8462-9775
person.identifier.ridA-3958-2010
person.identifier.scopus-author-id57207937268
person.identifier.scopus-author-id9039121900
person.identifier.scopus-author-id9435483700
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
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