Please use this identifier to cite or link to this item: http://hdl.handle.net/1822/44726

TitleMetabolomics of Ulva lactuca Linnaeus (Chlorophyta) exposed to oil fuels: Fourier transform infrared spectroscopy and multivariate analysis as tools for metabolic fingerprint
Author(s)Pilatti, F.
Ramlov, Fernanda
Schmidt, Eder Carlos
Costa, Christopher
Oliveira, Eva Regina de
Bauer, Claudia M.
Rocha, Miguel
Bouzon, Zenilda Laurita
Maraschin, Marcelo
KeywordsFTIR
Ulva lactuca
Diesel oil
Gasoline
Hierarchical clusters
Principal components analysis
Issue date30-Jan-2017
PublisherElsevier
JournalMarine Pollution Bulletin
CitationPilatti, F.; Ramlov, Fernanda; Schmidt, Eder Carlos; Costa, Christopher; Oliveira, Eva Regina de; Bauer, Claudia M.; Rocha, Miguel; Bouzon, Zenilda Laurita; Maraschin, Marcelo, Metabolomics of Ulva lactuca Linnaeus (Chlorophyta) exposed to oil fuels: Fourier transform infrared spectroscopy and multivariate analysis as tools for metabolic fingerprint. Marine Pollution Bulletin, 114(2), 831-836, 2017
Abstract(s)Fossil fuels, e.g. gasoline and diesel oil, account for substantial share of the pollution that affects marine ecosystems. Environmental metabolomics is an emerging field that may help unravel the effect of these xenobiotics on seaweeds and provide methodologies for biomonitoring coastal ecosystems. In the present study, FTIR and multivariate analysis were used to discriminate metabolic profiles of Ulva lactuca after in vitro exposure to diesel oil and gasoline, in combinations of concentrations (0.001%, 0.01%, 0.1%, and 1.0% - v/v) and times of exposure (30 min, 1 h, 12 h, and 24 h). PCA and HCA performed on entire mid-infrared spectral window were able to discriminate diesel oil-exposed thalli from the gasoline-exposed ones. HCA performed on spectral window related to the protein absorbance (17001500 cm 1) enabled the best discrimination between gasoline-exposed samples regarding the time of exposure, and between diesel oil-exposed samples according to the concentration. The results indicate that the combination of FTIR with multivariate analysis is a simple and efficient methodology for metabolic profiling with potential use for biomonitoring strategies.
TypeArticle
URIhttp://hdl.handle.net/1822/44726
DOI10.1016/j.marpolbul.2016.11.006
ISSN0025-326X
Publisher versionhttp://www.journals.elsevier.com/marine-pollution-bulletin
Peer-Reviewedyes
AccessOpen access
Appears in Collections:CEB - Publicações em Revistas/Séries Internacionais / Publications in International Journals/Series

Files in This Item:
File Description SizeFormat 
document_46315_1.pdf902,75 kBAdobe PDFView/Open

Partilhe no FacebookPartilhe no TwitterPartilhe no DeliciousPartilhe no LinkedInPartilhe no DiggAdicionar ao Google BookmarksPartilhe no MySpacePartilhe no Orkut
Exporte no formato BibTex mendeley Exporte no formato Endnote Adicione ao seu ORCID