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- Title
Evaluation of Multivariate Biomarker Indexes Application in Ecotoxicity Tests with Marine Diatoms Exposed to Emerging Contaminants.
- Authors
Pires, Vanessa Leal; Novais, Sara C.; Lemos, Marco F. L.; Fonseca, Vanessa F.; Duarte, Bernardo; Ferri, Elida Nora
- Abstract
Featured Application: Evaluation of oxidative stress indexes for ecotoxicological evaluation of marine diatoms exposed to emerging contaminants. Worldwide anthropogenic activities result in the production and release of potentially damaging toxic pollutants into ecosystems, thereby jeopardizing their health and continuity. Research studies and biomonitoring programs attend to this emerging problematic by applying and developing statistically relevant indexes that integrate complex biomarker response data to provide a holistic approach, reflecting toxically induced alterations at the organism or population level. Ultimately, indexes allow simple result communications, enhancing policy makers understanding, and contributing to better resource and environmental managing policies. In this study three indexes, the integrated biomarker response index (IBR), the bioeffects assessment index (BAI) and principal components analysis (PCA), were evaluated for their sensitivity in revealing toxically induced stress patterns in cells of the diatom Phaeodactylum tricornutum under contaminant exposure. The set of biomarkers selected for index construction comprised the anti-oxidant enzymes APX, CAT and SOD, and the lipid peroxidation marker TBARS. Several significant correlations with the applied concentration gradients were noticed for all indexes, although IBR excelled for its reliability in delivering statistically significant dose-response patterns for four out of the five tested compounds.
- Subjects
POLLUTANTS; PHAEODACTYLUM tricornutum; DIATOMS; PRINCIPAL components analysis; CONCENTRATION gradient; TRICLOCARBAN; MALONDIALDEHYDE
- Publication
Applied Sciences (2076-3417), 2021, Vol 11, Issue 9, p3878
- ISSN
2076-3417
- Publication type
Article
- DOI
10.3390/app11093878