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https://hdl.handle.net/1822/44726
Título: | Metabolomics of Ulva lactuca Linnaeus (Chlorophyta) exposed to oil fuels: Fourier transform infrared spectroscopy and multivariate analysis as tools for metabolic fingerprint |
Autor(es): | Pilatti, F. Ramlov, Fernanda Schmidt, Eder Carlos Costa, Christopher Oliveira, Eva Regina de Bauer, Claudia M. Rocha, Miguel Bouzon, Zenilda Laurita Maraschin, Marcelo |
Palavras-chave: | FTIR Ulva lactuca Diesel oil Gasoline Hierarchical clusters Principal components analysis |
Data: | 30-Jan-2017 |
Editora: | Elsevier 1 |
Revista: | Marine Pollution Bulletin |
Citação: | Pilatti, 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 |
Resumo(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. |
Tipo: | Artigo |
URI: | https://hdl.handle.net/1822/44726 |
DOI: | 10.1016/j.marpolbul.2016.11.006 |
ISSN: | 0025-326X |
Versão da editora: | http://www.journals.elsevier.com/marine-pollution-bulletin |
Arbitragem científica: | yes |
Acesso: | Acesso aberto |
Aparece nas coleções: | CEB - Publicações em Revistas/Séries Internacionais / Publications in International Journals/Series |
Ficheiros deste registo:
Ficheiro | Descrição | Tamanho | Formato | |
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document_46315_1.pdf | 902,75 kB | Adobe PDF | Ver/Abrir |