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dc.contributor.authorGrainha, Tâniapor
dc.contributor.authorMagalhães, Andreia P.por
dc.contributor.authorMelo, Luís Daniel Rodriguespor
dc.contributor.authorPereira, Maria Olíviapor
dc.date.accessioned2020-11-03T18:06:26Z-
dc.date.available2020-11-03T18:06:26Z-
dc.date.issued2020-
dc.identifier.citationGrainha, Tânia; Magalhães, Andreia P.; Melo, Luís D. R.; Pereira, Maria Olívia, Pitfalls Associated with Discriminating Mixed-Species Biofilms by Flow Cytometry. Antibiotics, 9(11), 741, 2020por
dc.identifier.issn2079-6382por
dc.identifier.urihttps://hdl.handle.net/1822/67999-
dc.description.abstractSince biofilms are ubiquitous in different settings and act as sources of disease for humans, reliable methods to characterize and quantify these microbial communities are required. Numerous techniques have been employed, but most of them are unidirectional, labor intensive and time consuming. Although flow cytometry (FCM) can be a reliable choice to quickly provide a multiparametric analysis, there are still few applications on biofilms, and even less on the study of inter-kingdom communities. This work aimed to give insights into the application of FCM in order to more comprehensively analyze mixed-species biofilms, formed by different Pseudomonas aeruginosa and Candida albicans strains, before and after exposure to antimicrobials. For comparison purposes, biofilm culturability was also assessed determining colony-forming units. The results showed that some aspects, namely the microbial strain used, the morphological state of the cells and the biofilm matrix, make the accurate analysis of FCM data difficult. These aspects were even more challenging when double-species biofilms were being inspected, as they could engender data misinterpretations. The outcomes draw our attention towards the need to always take into consideration the characteristics of the biofilm samples to be analyzed through FCM, and undoubtedly link to the need for optimization of the processes tailored for each particular case study.por
dc.description.sponsorshipThis work was supported by the Portuguese Foundation for Science and Technology (FCT) under the scope of the strategic funding of the UID/BIO/04469/2020 unit and BioTecNorte operation (NORTE-01-0145-FEDER-000004), which was funded by the European Regional Development Fund under the scope of Norte2020–Programa Operacional Regional do Norte. The authors also acknowledge COMPETE2020 and FCT under the project POCI-01-0145-FEDER-029841 and FCT for the PhD grant to Tânia Grainha (grant number SFRH/BD/136544/2018).por
dc.language.isoengpor
dc.publisherMDPI AGpor
dc.relationSFRH/BD/136544/2018por
dc.relationUID/BIO/04469/2020por
dc.rightsopenAccesspor
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/por
dc.subjectPseudomonas aeruginosapor
dc.subjectCandida albicanspor
dc.subjectmixed-species biofilm analysispor
dc.subjectflow cytometrypor
dc.titlePitfalls associated with discriminating mixed-species biofilms by flow cytometrypor
dc.typearticle-
dc.peerreviewedyespor
dc.relation.publisherversionhttps://www.mdpi.com/journal/antibioticspor
dc.commentsCEB53965por
oaire.citationStartPage1por
oaire.citationEndPage17por
oaire.citationIssue11por
oaire.citationVolume9por
dc.date.updated2020-10-31T11:44:56Z-
dc.identifier.eissn2079-6382por
dc.identifier.doi10.3390/antibiotics9110741por
dc.description.publicationversioninfo:eu-repo/semantics/publishedVersion-
dc.subject.wosScience & Technologypor
sdum.journalAntibioticspor
oaire.versionVoRpor
Aparece nas coleções:CEB - Publicações em Revistas/Séries Internacionais / Publications in International Journals/Series

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