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A multivariate approach to chlorophyll a fluorescence data for trace element ecotoxicological trials using a model marine diatom

2021Journal article Restricted access
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dc.contributor.authorDuarte, Bernardo
dc.contributor.authorGameiro, Carla
dc.contributor.authorUtkin, Andrei Borissovitch
dc.contributor.authorMatos, Ana Rita
dc.contributor.authorCaçador, Isabel
dc.contributor.authorFonseca, Vanessa
dc.contributor.authorCabrita, Maria Teresa
dc.date.accessioned2021-07-14T10:21:47Z
dc.date.available2021-07-14T10:21:47Z
dc.date.issued2021
dc.description.abstractThe increasing uncontrolled development of human activities and consequent increase in the production and release into the marine realm of potentially harmful substances highlights the need to develop efficient and high-throughput screening (HTS) tools. Bio-optical tools, such as laser-induced fluorescence (LIF) and pulse amplitude modulated (PAM) fluorometry, emerge as efficient non-invasive techniques for toxicophenomic evaluation in ecotoxicological trials. Both techniques generate large datasets that can be applied in multivariate analysis to evaluate canonical classification efficiency of the exposure types and levels to which photosynthetic organisms, such as diatoms, are subjected to. In the present work, marine diatom cultures were exposed to two trace elements known to have physiological roles and different toxicity ranges (Zn and Cu), and to two other trace elements without known metabolic functions and very different toxicological profiles (Cr and Hg). All the tested approaches were able to disentangle the control groups from the test groups. Moreover, the application of LIF raw-data showed that this technique had the higher classification efficiency, providing very good separation of the different doses applied of each trace element tested. Additionally, PAM chlorophyll fast induction kinetics raw data also produced good classification efficiencies and provided data that can be useful for interpreting the physiological shifts induced by trace element exposure. In sum, LIF and PAM techniques appear as completely non-invasive HTS techniques that, when applied together, produce a correct toxicophenomic classification and disentangle the physiological effects behind the observed phenomic changes. Therefore, they are worth to be included in future ecotoxicological assessment test protocols.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationDuarte, Bernardo, Gameiro, Carla, Utkin, Andrei Borissovitch, Matos, Ana Rita, Caçador, Isabel, Fonseca, Vanessa, & Cabrita, Maria Teresa (2021). A multivariate approach to chlorophyll a fluorescence data for trace element ecotoxicological trials using a model marine diatom. Estuarine, Coastal and Shelf Science, 250, 107170. https://doi.org/10.1016/j.ecss.2021.107170pt_PT
dc.identifier.doi10.1016/j.ecss.2021.107170pt_PT
dc.identifier.issn0272-7714
dc.identifier.urihttp://hdl.handle.net/10451/48920
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherElsevierpt_PT
dc.relationPTDC/CTAAMB/ 30056/2017 (OPTOX)pt_PT
dc.relationMarine and Environmental Sciences Centre
dc.relationBiosystems and Integrative Sciences Institute
dc.relationBiosystems and Integrative Sciences Institute
dc.relation.publisherversionhttps://www.sciencedirect.com/science/article/pii/S0272771421000068?via%3Dihubpt_PT
dc.subjectTrace elementspt_PT
dc.subjectChlorophyll fluorescencept_PT
dc.subjectEcotoxicologypt_PT
dc.subjectHigh-throughput screeningpt_PT
dc.titleA multivariate approach to chlorophyll a fluorescence data for trace element ecotoxicological trials using a model marine diatompt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.awardTitleMarine and Environmental Sciences Centre
oaire.awardTitleBiosystems and Integrative Sciences Institute
oaire.awardTitleBiosystems and Integrative Sciences Institute
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F04292%2F2020/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F04046%2F2020/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDP%2F04046%2F2020/PT
oaire.citation.startPage107170pt_PT
oaire.citation.titleEstuarine, Coastal and Shelf Sciencept_PT
oaire.citation.volume250pt_PT
oaire.fundingStream6817 - DCRRNI ID
oaire.fundingStream6817 - DCRRNI ID
oaire.fundingStream6817 - DCRRNI ID
person.familyNameCabrita
person.givenNameMaria Teresa
person.identifier349469
person.identifier.ciencia-id3E17-0125-F909
person.identifier.orcid0000-0002-4323-4945
person.identifier.ridB-5746-2014
person.identifier.scopus-author-id6602224932
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
rcaap.rightsclosedAccesspt_PT
rcaap.typearticlept_PT
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