当前位置： SCI文献检索 > MARINE POLLUTION BULLETIN期刊下所有文献 > Metabolomics of Ulva lactuca Linnaeus (Chlorophyta) exposed to oil fuels: Fourier transform infrared spectroscopy and multivariate analysis as tools for metabolic fingerprint.

Metabolomics of Ulva lactuca Linnaeus (Chlorophyta) exposed to oil fuels: Fourier transform infrared spectroscopy and multivariate analysis as tools for metabolic fingerprint.

Abstract：

: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 (30min, 1h, 12h, and 24h). 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 (1700-1500cm-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.

journal_name

Mar Pollut Bull

journal_title

Marine pollution bulletin

authors

Pilatti FK,Ramlov F,Schmidt EC,Costa C,Oliveira ER,Bauer CM,Rocha M,Bouzon ZL,Maraschin M

doi

10.1016/j.marpolbul.2016.11.006

subject

Has Abstract

pub_date

2017-01-30 00:00:00

pages

831-836

issue

2

eissn

0025-326X

issn

1879-3363

pii

S0025-326X(16)30902-X

journal_volume

114

pub_type

杂志文章

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