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Antimicrobial Activity of Natural Extracts: The Problem of Mathematical Modeling †

2023Artigo científico Acesso aberto
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datacite.subject.fosEngenharia e Tecnologia::Biotecnologia Industrial
datacite.subject.fosEngenharia e Tecnologia::Engenharia Química
datacite.subject.sdg09:Indústria, Inovação e Infraestruturas
dc.contributor.authorSilva, Aurora
dc.contributor.authorLourenço-Lopes, Catarina
dc.contributor.authorCarpena, Maria
dc.contributor.authorGarcía-Oliveira, Paula
dc.contributor.authorEchave, Javier
dc.contributor.authorChamorro, Franklin
dc.contributor.authorBarciela, Paula
dc.contributor.authorSimal-Gandara, Jesus
dc.contributor.authorBarroso, Maria Fátima
dc.contributor.authorPrieto, Miguel A.
dc.date.accessioned2026-06-15T15:23:37Z
dc.date.available2026-06-15T15:23:37Z
dc.date.issued2023
dc.description.abstractThe antimicrobial activity of plants, algae, and derived extracts has been a subject of interest for the scientific community. Algae extracts have demonstrated their potential as a source of natural antimicrobial agents. Because of their antibacterial capacity and low toxicity, algae extracts have been studied as natural preservatives in food and cosmetic formulations. The use of these extracts has the potential to minimize the use of synthetic preservatives, which may be harmful to both human health and the environment. Nonetheless, the use of end-point techniques to calculate the minimal inhibitory concentration instead of creating growth inhibition curves usually leads to an absence of mathematical modeling procedures on the bacterial inhibition behavior of natural extracts. The goal of mathematical modeling is to describe the relationship between the concentration of an inhibitory agent (such as a drug or a toxin) and the growth rate of a population. For this purpose, the data obtained during the growth of six different bacteria in the presence of different concentrations of Ascophyllum nodosum (L.) extracts were recorded over 24 h. Later, the collected data were modeled based on different classical sigmoidal models, e.g., Weibull, logistic, and Gompertz, that were applied to define the critical growth phases and infer the kinetic parameters. The obtained parameters led to the conclusion that the inhibition mechanisms behind the antibacterial effects of the algae extracts are diverse towards different microorganisms. The presence of the extract led to a diminution of the specific growth velocity in some cases such as Staphylococcus epidermidis while in the replication of other bacteria such as Bacillus cereus, the extension of the lag phase was the predominant inhibition mechanism.eng
dc.description.sponsorshipThe research leading to these results was supported by MICINN supporting the Ramón y Cajal grant for M.A. Prieto (RYC-2017-22891) and the pre-doctoral grants of P. Garcia-Oliveira (ED481A-2019/295) and M. Carpena (ED481A 2021/313). The authors thank the program BENEFICIOS DO CONSUMO DAS ESPECIES TINTORERA-(CO-0019-2021) that supports the work of F. Chamorro. The authors are grateful to the Ibero-American Program on Science and Technology (CYTED—AQUA-CIBUS, P317RT0003), to the Bio Based Industries Joint Undertaking (JU) under grant agreement No 888003 UP4HEALTH Project (H2020-BBI-JTI-2019) of C. Lourenço-Lopes, and to AlgaMar company (www.algamar.com) for the collaboration and algae material provision. The authors would like to thank the EU and FCT for funding through the programs UIDB/50006/2020; UIDP/50006/2020 and the authors are grateful to the Ibero-American Program on Science and Technology (CYTED—GENOPSYSEN, P222RT0117). MFB thanks FCT for the FCT Investigator (2020.03107.CEECIND).
dc.identifier.citationSilva, Aurora; Lourenço-Lopes, Catarina; Carpena, Maria;García-Oliveira, Paula; Echave, Javier; Chamorro, Franklin; Barciela, Paula; Simal-Gandara, Jesus; Barroso, Maria Fátima; Prieto, Miguel A. (2023). Antimicrobial Activity of Natural Extracts: The Problem of Mathematical Modeling †. Engineering Proceedings. ISSN 2673-4591. 37:1, p. 1-5
dc.identifier.doi10.3390/ecp2023-14675
dc.identifier.issn2673-4591
dc.identifier.urihttp://hdl.handle.net/10198/36886
dc.language.isoeng
dc.peerreviewedyes
dc.publisherMultidisciplinary Digital Publishing Institute (MDPI)
dc.relationAssociated Laboratory for Green Chemistry - Clean Technologies and Processes
dc.relationSustainable and cost-effective production process for the upcycling of olive, grape and nut by-products into 4 natural and healthy ingredients for nutraceutical and cosmetic applications
dc.relationChallenging the Attention-Deficit / Hyperactivity Disorder (ADHD) diagnosis: Moving towards sensitive electrochemical miRNA biosensing - 2020.03107.CEECIND/CP1596/CT0005
dc.relation.ispartofECP 2023
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectAntimicrobial activity
dc.subjectAscophyllum nodosum (L.)
dc.subjectMathematical modeling
dc.titleAntimicrobial Activity of Natural Extracts: The Problem of Mathematical Modeling †eng
dc.typejournal article
dspace.entity.typePublication
oaire.awardNumberUIDB/50006/2020
oaire.awardNumber888003
oaire.awardTitleAssociated Laboratory for Green Chemistry - Clean Technologies and Processes
oaire.awardTitleSustainable and cost-effective production process for the upcycling of olive, grape and nut by-products into 4 natural and healthy ingredients for nutraceutical and cosmetic applications
oaire.awardTitleChallenging the Attention-Deficit / Hyperactivity Disorder (ADHD) diagnosis: Moving towards sensitive electrochemical miRNA biosensing - 2020.03107.CEECIND/CP1596/CT0005
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F50006%2F2020/PT
oaire.awardURIinfo:eu-repo/grantAgreement/EC/H2020/888003/EU
oaire.awardURIhttp://hdl.handle.net/10198/36885
oaire.citation.endPage5
oaire.citation.issue1
oaire.citation.startPage1
oaire.citation.titleEngineering Proceedings
oaire.citation.volume37
oaire.fundingStream6817 - DCRRNI ID
oaire.fundingStreamH2020
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85
person.familyNameGarcía-Oliveira
person.familyNamePrieto
person.givenNamePaula
person.givenNameMiguel A.
person.identifier107688
person.identifier.ciencia-id781F-C144-9DBD
person.identifier.ciencia-id221E-1E00-AB74
person.identifier.orcid0000-0003-4058-3709
person.identifier.orcid0000-0002-3513-0054
person.identifier.ridG-4516-2011
person.identifier.scopus-author-id35937495700
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100008530
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameEuropean Commission
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relation.isAuthorOfPublication13260615-fd28-4b8b-9dd4-8a8466007579
relation.isAuthorOfPublication.latestForDiscovery2317d016-9037-42de-81b9-fe1cd505b8c5
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