Literature DB >> 24490901

Prediction of ecotoxicity of heavy crude oil: contribution of measured components.

Hyun-Joong Kang1, So-Young Lee, Ji-Yeon Roh, Un Hyuk Yim, Won Joon Shim, Jung-Hwan Kwon.   

Abstract

A prediction model for estimating the ecotoxicity of the water-accommodated fraction (WAF) and water-soluble fraction (WSF) of heavy crude oil is proposed. Iranian heavy crude oil (IHC), one of the major components of the Hebei Spirit oil spill in Korea in 2007, was used as a model crude oil for the preparation of the WAF and the WSF. Luminescence inhibition of Vibrio fischeri was chosen as the model ecotoxicity test for evaluating the baseline toxicity of aromatic hydrocarbons in the IHC. The measured concentration of each chemical species in WAF and WSF agreed well with the predicted soluble concentration calculated using Raoult's law from the measured amount in the IHC. This indicates that the toxic potential of an oil mixture can be evaluated from the dissolved concentration of each species, which in turn, may be predicted from the composition of the crude or weathered oils. In addition, the contribution of each species in the mixture to the apparent luminescence inhibition by the WAF and the WSF was assessed using a concentration-addition model. The relative contributions of benzene, toluene, ethylbenzene, xylenes (BTEX), polycyclic aromatic hydrocarbons (PAHs), and alkylated PAHs in luminescence inhibition were estimated to be 76%, 2%, and 21%, respectively. It was further identified that C3- and C4-naphthalenes were the most important aromatic hydrocarbons responsible for baseline toxicity. This indicates that alkylated PAHs would be the major components of oil-spill residue. Further research is needed to evaluate the fate and ecotoxicity of alkylated PAHs.

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Year:  2014        PMID: 24490901     DOI: 10.1021/es404342k

Source DB:  PubMed          Journal:  Environ Sci Technol        ISSN: 0013-936X            Impact factor:   9.028


  6 in total

1.  Degradation of crude oil by mixed cultures of bacteria isolated from the Qinghai-Tibet plateau and comparative analysis of metabolic mechanisms.

Authors:  Ruiqi Yang; Gaosen Zhang; Shiweng Li; Faegheh Moazeni; Yunshi Li; Yongna Wu; Wei Zhang; Tuo Chen; Guangxiu Liu; Binglin Zhang; Xiukun Wu
Journal:  Environ Sci Pollut Res Int       Date:  2018-11-20       Impact factor: 4.223

2.  Activated carbon as catalyst for microwave-assisted wet peroxide oxidation of aromatic hydrocarbons.

Authors:  Alicia L Garcia-Costa; Lucia Lopez-Perela; Xiyan Xu; Juan A Zazo; Juan J Rodriguez; Jose A Casas
Journal:  Environ Sci Pollut Res Int       Date:  2018-05-21       Impact factor: 4.223

3.  Transcriptome analysis of activated sludge microbiomes reveals an unexpected role of minority nitrifiers in carbon metabolism.

Authors:  Yuya Sato; Tomoyuki Hori; Hideaki Koike; Ronald R Navarro; Atsushi Ogata; Hiroshi Habe
Journal:  Commun Biol       Date:  2019-05-13

4.  Metabolic Profiling as Well as Stable Isotope Assisted Metabolic and Proteomic Analysis of RAW 264.7 Macrophages Exposed to Ship Engine Aerosol Emissions: Different Effects of Heavy Fuel Oil and Refined Diesel Fuel.

Authors:  Sean C Sapcariu; Tamara Kanashova; Marco Dilger; Silvia Diabaté; Sebastian Oeder; Johannes Passig; Christian Radischat; Jeroen Buters; Olli Sippula; Thorsten Streibel; Hanns-Rudolf Paur; Christoph Schlager; Sonja Mülhopt; Benjamin Stengel; Rom Rabe; Horst Harndorf; Tobias Krebs; Erwin Karg; Thomas Gröger; Carsten Weiss; Gunnar Dittmar; Karsten Hiller; Ralf Zimmermann
Journal:  PLoS One       Date:  2016-06-27       Impact factor: 3.240

5.  Comparative study of oxidative stress caused by anthracene and alkyl-anthracenes in Caenorhabditis elegans.

Authors:  Ji-Yeon Roh; Pil-Gon Kim; Jung-Hwan Kwon
Journal:  Environ Health Toxicol       Date:  2018-02-26

6.  Enhancement of Toxic Efficacy of Alkylated Polycyclic Aromatic Hydrocarbons Transformed by Sphingobium quisquiliarum.

Authors:  So-Young Lee; Jung-Hwan Kwon
Journal:  Int J Environ Res Public Health       Date:  2020-09-03       Impact factor: 3.390

  6 in total

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