Linked Life Data

15935177

Source:http://linkedlifedata.com/resource/pubmed/id/15935177

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
6
pubmed:dateCreated
2005-6-6
pubmed:abstractText
In this study, we propose a simple hydrophobicity-based approach to predict the toxicity of mixtures of marine organic micropollutants. Fifty mixtures were chosen, comprising individual chemicals randomly chosen from three halogenated benzenes, three phenols, two petroleum hydrocarbons, three polychlorinated biphenyls (PCBs), four organochlorine pesticides (OCPs) and two herbicides, with the intention of simulating the mixtures of organic micropollutants that may exist in some marine waters. The hydrophobicity of the mixtures was quantified by measuring the C(18)-Empore(TM) disk/water partition coefficients (K(MD)). A K(MD)-based approach was proposed to describe their toxicity to Photobacterium phosphoreum, and the application of this approach to another 10 related mixtures proved its predictive capability, as indicated by the consistency between the predicted and observed toxicities (r(2)=0.905, SE=0.101, and F=76.325 at P<0.001). This predictive capability convinces us that the K(MD)-based approach provides a general approach to predicting the toxicity of mixtures of organic micropollutants in marine water.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:chemical
pubmed:status
MEDLINE
pubmed:month
Jun
pubmed:issn
0025-326X
pubmed:author
pubmed:issnType
Print
pubmed:volume
50
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
617-23
pubmed:dateRevised
2010-11-18
pubmed:meshHeading
pubmed:year
2005
pubmed:articleTitle
A simple hydrophobicity-based approach to predict the toxicity of unknown organic micropollutant mixtures in marine water.
pubmed:affiliation
Key Laboratory of Tropical Marine Environmental Dynamics, South China Sea Institute of Oceanology, Chinese Academy of Sciences, Guangzhou 510301, PR China. lzhifen@yahoo.com
pubmed:publicationType
Journal Article, Comparative Study, Research Support, Non-U.S. Gov't