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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
Diffusion 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 L., , and L. The results are reported as inhibition...
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Published in: | Foods 2023-03, Vol.12 (6), p.1265 |
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creator | Silva, Beatriz Nunes Bonilla-Luque, Olga María Possas, Arícia Ezzaky, Youssef Elmoslih, Abdelkhaleq Teixeira, José António Achemchem, Fouad Valero, Antonio Cadavez, Vasco Gonzales-Barron, Ursula |
description | Diffusion 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
L.,
, and
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 (
< 0.05). Lemon and orange extracts were found to be most effective against
(24.4 ± 1.21 and 16.5 ± 0.84 mm, respectively), while oregano extracts exhibited the highest level of effectiveness against
(22.3 ± 1.73 mm). Clove extracts were observed to be most effective against
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 (
> 0.05). The ID-MIC model revealed an inverse correlation (R
= 47.7%) and highlighted the fact that the extract dose highly modulated the relationship (
< 0.0001). The findings of this study encourage the use of extracts and EOs derived from
,
, and
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. |
doi_str_mv | 10.3390/foods12061265 |
format | article |
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L.,
, and
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 (
< 0.05). Lemon and orange extracts were found to be most effective against
(24.4 ± 1.21 and 16.5 ± 0.84 mm, respectively), while oregano extracts exhibited the highest level of effectiveness against
(22.3 ± 1.73 mm). Clove extracts were observed to be most effective against
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 (
> 0.05). The ID-MIC model revealed an inverse correlation (R
= 47.7%) and highlighted the fact that the extract dose highly modulated the relationship (
< 0.0001). The findings of this study encourage the use of extracts and EOs derived from
,
, and
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.</description><identifier>ISSN: 2304-8158</identifier><identifier>EISSN: 2304-8158</identifier><identifier>DOI: 10.3390/foods12061265</identifier><identifier>PMID: 36981191</identifier><language>eng</language><publisher>Switzerland: MDPI AG</publisher><subject>Antiinfectives and antibacterials ; Antimicrobial agents ; Bacillus cereus ; Bacteria ; Campylobacter ; Citrus ; Citrus fruits ; Datasets ; Diameters ; Diffusion ; Dilution ; E coli ; Escherichia coli ; Essential oils ; Food science ; foodborne pathogens ; Fruits ; inhibition diameter ; Meta-analysis ; meta-regression ; Methods ; Minimum inhibitory concentration ; mixed-effects model ; Oils & fats ; Oregano ; Origanum ; Pathogens ; Plant extracts ; Plant species ; Regression analysis ; Regression models ; Salmonella ; Syzygium aromaticum</subject><ispartof>Foods, 2023-03, Vol.12 (6), p.1265</ispartof><rights>2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2023 by the authors. 2023</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c508t-9ccb8046ed787399d1f4dfd111c7dff2c73984f7ab4388b0f6b35763698950983</citedby><cites>FETCH-LOGICAL-c508t-9ccb8046ed787399d1f4dfd111c7dff2c73984f7ab4388b0f6b35763698950983</cites><orcidid>0000-0002-9974-213X ; 0000-0002-5006-8703 ; 0000-0002-3298-1128 ; 0000-0001-6266-2585 ; 0000-0001-6216-0331 ; 0000-0002-8462-9775 ; 0000-0002-4918-3704 ; 0000-0002-3077-7414 ; 0000-0002-7571-031X</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/2791645612/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/2791645612?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,881,25732,27903,27904,36991,36992,44569,53769,53771,74872</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/36981191$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Silva, Beatriz Nunes</creatorcontrib><creatorcontrib>Bonilla-Luque, Olga María</creatorcontrib><creatorcontrib>Possas, Arícia</creatorcontrib><creatorcontrib>Ezzaky, Youssef</creatorcontrib><creatorcontrib>Elmoslih, Abdelkhaleq</creatorcontrib><creatorcontrib>Teixeira, José António</creatorcontrib><creatorcontrib>Achemchem, Fouad</creatorcontrib><creatorcontrib>Valero, Antonio</creatorcontrib><creatorcontrib>Cadavez, Vasco</creatorcontrib><creatorcontrib>Gonzales-Barron, Ursula</creatorcontrib><title>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</title><title>Foods</title><addtitle>Foods</addtitle><description>Diffusion 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
L.,
, and
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 (
< 0.05). Lemon and orange extracts were found to be most effective against
(24.4 ± 1.21 and 16.5 ± 0.84 mm, respectively), while oregano extracts exhibited the highest level of effectiveness against
(22.3 ± 1.73 mm). Clove extracts were observed to be most effective against
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 (
> 0.05). The ID-MIC model revealed an inverse correlation (R
= 47.7%) and highlighted the fact that the extract dose highly modulated the relationship (
< 0.0001). The findings of this study encourage the use of extracts and EOs derived from
,
, and
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.</description><subject>Antiinfectives and antibacterials</subject><subject>Antimicrobial agents</subject><subject>Bacillus cereus</subject><subject>Bacteria</subject><subject>Campylobacter</subject><subject>Citrus</subject><subject>Citrus fruits</subject><subject>Datasets</subject><subject>Diameters</subject><subject>Diffusion</subject><subject>Dilution</subject><subject>E coli</subject><subject>Escherichia coli</subject><subject>Essential oils</subject><subject>Food science</subject><subject>foodborne pathogens</subject><subject>Fruits</subject><subject>inhibition diameter</subject><subject>Meta-analysis</subject><subject>meta-regression</subject><subject>Methods</subject><subject>Minimum inhibitory concentration</subject><subject>mixed-effects model</subject><subject>Oils & fats</subject><subject>Oregano</subject><subject>Origanum</subject><subject>Pathogens</subject><subject>Plant extracts</subject><subject>Plant species</subject><subject>Regression analysis</subject><subject>Regression models</subject><subject>Salmonella</subject><subject>Syzygium aromaticum</subject><issn>2304-8158</issn><issn>2304-8158</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>PIMPY</sourceid><sourceid>DOA</sourceid><recordid>eNpdkkuP0zAQgCMEYlfLHrkiS1w4kGLHeThcUBUKVCqqxAJXy_GjdZXEXdtBlP_If2LSLqvt5uKR_eXzzHiS5CXBM0pr_M44pwLJcEmysniSXGYU5ykjBXv6IL5IrkPYYfhqQhnNnicXtKwZITW5TP5-1VGk80F0h2ADcgYtB_TTRu_QfIi2t9K71ooONWIvpI2HCVn8jl7IGJAYFFqEoIEEZG27o-Hm8OewsWOPhHe9iFZC-BY1IB0DWs2Of6293YgBDlaz96hxAwhDtMMGxa1G33QYu3h0fbTGaA8XPErnZgxS76NtbTclBVVsoRUvkmdGdEFf361XyY9Pi-_Nl3S1_rxs5qtUFpjFtJayZTgvtapYRetaEZMrowghslLGZBI2WW4q0eaUsRabsqVFVU5dqwtcM3qVLE9e5cSO773thT9wJyw_bji_4cJD4Z3mec6wMm2hWQ4hM60qpNBwU6naPGMEXB9Orv3Y9lpJPfWiO5Oenwx2yzfuFycY56wsJsObO4N3t6MOkfcWutN1YtBuDDyr6gzqrsoS0NeP0J0bPbz-kSJlXsAoAZWeKOh2CF6b-2wI5tPg8bPBA_7VwxLu6f9jRv8Be0XXoA</recordid><startdate>20230316</startdate><enddate>20230316</enddate><creator>Silva, Beatriz Nunes</creator><creator>Bonilla-Luque, Olga María</creator><creator>Possas, Arícia</creator><creator>Ezzaky, Youssef</creator><creator>Elmoslih, Abdelkhaleq</creator><creator>Teixeira, José António</creator><creator>Achemchem, Fouad</creator><creator>Valero, Antonio</creator><creator>Cadavez, Vasco</creator><creator>Gonzales-Barron, Ursula</creator><general>MDPI AG</general><general>MDPI</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7QR</scope><scope>7T7</scope><scope>7X2</scope><scope>8FD</scope><scope>8FE</scope><scope>8FH</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FR3</scope><scope>HCIFZ</scope><scope>M0K</scope><scope>P64</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0002-9974-213X</orcidid><orcidid>https://orcid.org/0000-0002-5006-8703</orcidid><orcidid>https://orcid.org/0000-0002-3298-1128</orcidid><orcidid>https://orcid.org/0000-0001-6266-2585</orcidid><orcidid>https://orcid.org/0000-0001-6216-0331</orcidid><orcidid>https://orcid.org/0000-0002-8462-9775</orcidid><orcidid>https://orcid.org/0000-0002-4918-3704</orcidid><orcidid>https://orcid.org/0000-0002-3077-7414</orcidid><orcidid>https://orcid.org/0000-0002-7571-031X</orcidid></search><sort><creationdate>20230316</creationdate><title>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</title><author>Silva, Beatriz Nunes ; Bonilla-Luque, Olga María ; Possas, Arícia ; Ezzaky, Youssef ; Elmoslih, Abdelkhaleq ; Teixeira, José António ; Achemchem, Fouad ; Valero, Antonio ; Cadavez, Vasco ; Gonzales-Barron, Ursula</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c508t-9ccb8046ed787399d1f4dfd111c7dff2c73984f7ab4388b0f6b35763698950983</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Antiinfectives and antibacterials</topic><topic>Antimicrobial agents</topic><topic>Bacillus cereus</topic><topic>Bacteria</topic><topic>Campylobacter</topic><topic>Citrus</topic><topic>Citrus fruits</topic><topic>Datasets</topic><topic>Diameters</topic><topic>Diffusion</topic><topic>Dilution</topic><topic>E coli</topic><topic>Escherichia coli</topic><topic>Essential oils</topic><topic>Food science</topic><topic>foodborne pathogens</topic><topic>Fruits</topic><topic>inhibition diameter</topic><topic>Meta-analysis</topic><topic>meta-regression</topic><topic>Methods</topic><topic>Minimum inhibitory concentration</topic><topic>mixed-effects model</topic><topic>Oils & fats</topic><topic>Oregano</topic><topic>Origanum</topic><topic>Pathogens</topic><topic>Plant extracts</topic><topic>Plant species</topic><topic>Regression analysis</topic><topic>Regression models</topic><topic>Salmonella</topic><topic>Syzygium aromaticum</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Silva, Beatriz Nunes</creatorcontrib><creatorcontrib>Bonilla-Luque, Olga María</creatorcontrib><creatorcontrib>Possas, Arícia</creatorcontrib><creatorcontrib>Ezzaky, Youssef</creatorcontrib><creatorcontrib>Elmoslih, Abdelkhaleq</creatorcontrib><creatorcontrib>Teixeira, José António</creatorcontrib><creatorcontrib>Achemchem, Fouad</creatorcontrib><creatorcontrib>Valero, Antonio</creatorcontrib><creatorcontrib>Cadavez, Vasco</creatorcontrib><creatorcontrib>Gonzales-Barron, Ursula</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Chemoreception Abstracts</collection><collection>Industrial and Applied Microbiology Abstracts (Microbiology A)</collection><collection>Agricultural Science Collection</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>ProQuest Natural Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central</collection><collection>Engineering Research Database</collection><collection>SciTech Premium Collection</collection><collection>Agriculture Science Database</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>Foods</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Silva, Beatriz Nunes</au><au>Bonilla-Luque, Olga María</au><au>Possas, Arícia</au><au>Ezzaky, Youssef</au><au>Elmoslih, Abdelkhaleq</au><au>Teixeira, José António</au><au>Achemchem, Fouad</au><au>Valero, Antonio</au><au>Cadavez, Vasco</au><au>Gonzales-Barron, Ursula</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>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</atitle><jtitle>Foods</jtitle><addtitle>Foods</addtitle><date>2023-03-16</date><risdate>2023</risdate><volume>12</volume><issue>6</issue><spage>1265</spage><pages>1265-</pages><issn>2304-8158</issn><eissn>2304-8158</eissn><abstract>Diffusion 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
L.,
, and
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 (
< 0.05). Lemon and orange extracts were found to be most effective against
(24.4 ± 1.21 and 16.5 ± 0.84 mm, respectively), while oregano extracts exhibited the highest level of effectiveness against
(22.3 ± 1.73 mm). Clove extracts were observed to be most effective against
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 (
> 0.05). The ID-MIC model revealed an inverse correlation (R
= 47.7%) and highlighted the fact that the extract dose highly modulated the relationship (
< 0.0001). The findings of this study encourage the use of extracts and EOs derived from
,
, and
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.</abstract><cop>Switzerland</cop><pub>MDPI AG</pub><pmid>36981191</pmid><doi>10.3390/foods12061265</doi><orcidid>https://orcid.org/0000-0002-9974-213X</orcidid><orcidid>https://orcid.org/0000-0002-5006-8703</orcidid><orcidid>https://orcid.org/0000-0002-3298-1128</orcidid><orcidid>https://orcid.org/0000-0001-6266-2585</orcidid><orcidid>https://orcid.org/0000-0001-6216-0331</orcidid><orcidid>https://orcid.org/0000-0002-8462-9775</orcidid><orcidid>https://orcid.org/0000-0002-4918-3704</orcidid><orcidid>https://orcid.org/0000-0002-3077-7414</orcidid><orcidid>https://orcid.org/0000-0002-7571-031X</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Antiinfectives and antibacterials Antimicrobial agents Bacillus cereus Bacteria Campylobacter Citrus Citrus fruits Datasets Diameters Diffusion Dilution E coli Escherichia coli Essential oils Food science foodborne pathogens Fruits inhibition diameter Meta-analysis meta-regression Methods Minimum inhibitory concentration mixed-effects model Oils & fats Oregano Origanum Pathogens Plant extracts Plant species Regression analysis Regression models Salmonella Syzygium aromaticum |
title | 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 |
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