globalchange  > 过去全球变化的重建
DOI: 10.1016/j.marpolbul.2016.11.006
Scopus记录号: 2-s2.0-85006766690
论文题名:
Metabolomics of Ulva lactuca Linnaeus (Chlorophyta) exposed to oil fuels: Fourier transform infrared spectroscopy and multivariate analysis as tools for metabolic fingerprint
作者: Pilatti F.K.; Ramlov F.; Schmidt E.C.; Costa C.; Oliveira E.R.D.; Bauer C.M.; Rocha M.; Bouzon Z.L.; Maraschin M.
刊名: Marine Pollution Bulletin
ISSN: 0025-326X
EISSN: 1879-3363
出版年: 2017
卷: 114, 期:2
起始页码: 831
结束页码: 836
语种: 英语
英文关键词: Diesel oil ; FTIR ; Gasoline ; Hierarchical clusters ; Principal components analysis ; Ulva lactuca
Scopus关键词: Biochemistry ; Diesel fuels ; Ecology ; Ecosystems ; Fossil fuels ; Fourier transform infrared spectroscopy ; Gasoline ; Hierarchical systems ; Marine pollution ; Metabolism ; Multivariant analysis ; Diesel oil ; FTIR ; Hierarchical clusters ; Principal components analysis ; Ulva lactuca ; Principal component analysis ; diesel fuel ; gasoline ; fuel oil ; gasoline ; biomonitoring ; fossil fuel ; FTIR spectroscopy ; green alga ; metabolism ; multivariate analysis ; principal component analysis ; Article ; biological monitoring ; coastal waters ; concentration (parameters) ; controlled study ; exposure ; green alga ; in vitro study ; infrared spectroscopy ; metabolomics ; multivariate analysis ; nonhuman ; Ulva ; Brazil ; drug effects ; environmental monitoring ; metabolism ; metabolome ; metabolomics ; principal component analysis ; procedures ; theoretical model ; Ulva ; Chlorophyta ; Ulva lactuca ; Brazil ; Environmental Monitoring ; Fuel Oils ; Gasoline ; Metabolome ; Metabolomics ; Models, Theoretical ; Multivariate Analysis ; Principal Component Analysis ; Spectroscopy, Fourier Transform Infrared ; Ulva
Scopus学科分类: Agricultural and Biological Sciences: Aquatic Science ; Earth and Planetary Sciences: Oceanography ; Environmental Science: Pollution
英文摘要: 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 (1700–1500�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. � 2016 Elsevier Ltd
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/87906
Appears in Collections:过去全球变化的重建
全球变化的国际研究计划

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作者单位: Plant Morphogenesis and Biochemistry Laboratory, Federal University of Santa Catarina, Florianopolis, Brazil; Phycology Laboratory, Department of Botany, Federal University of Santa Catarina, Florianopolis, Brazil; Department of Cell Biology, Embryology and Genetics, Federal University of Santa Catarina, Florianopolis, Brazil; Centre Biological Engineering, School of Engineering, University of Minho, Braga, Portugal

Recommended Citation:
Pilatti F.K.,Ramlov F.,Schmidt E.C.,et al. Metabolomics of Ulva lactuca Linnaeus (Chlorophyta) exposed to oil fuels: Fourier transform infrared spectroscopy and multivariate analysis as tools for metabolic fingerprint[J]. Marine Pollution Bulletin,2017-01-01,114(2)
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