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Titolo:
Biopartitioning micellar chromatography to predict ecotoxicity
Autore:
Escuder-Gilabert, L; Martin-Biosca, Y; Sagrado, S; Villanueva-Camanas, RM; Medina-Hernandez, MJ;
Indirizzi:
Univ Valencia, Dept Ouim Analit, E-46100 Burjassot, Valencia, Spain Univ Valencia Burjassot Valencia Spain E-46100 Burjassot, Valencia, Spain
Titolo Testata:
ANALYTICA CHIMICA ACTA
fascicolo: 1-2, volume: 448, anno: 2001,
pagine: 173 - 185
SICI:
0003-2670(200112)448:1-2<173:BMCTPE>2.0.ZU;2-T
Fonte:
ISI
Lingua:
ENG
Soggetto:
OCTANOL/WATER PARTITION-COEFFICIENT; RETENTION-ACTIVITY RELATIONSHIP; LIQUID-CHROMATOGRAPHY; RISK ASSESSMENT; HYDROPHOBICITY; PARAMETERS; BIOACCUMULATION; DERIVATIVES; CHEMICALS; COLUMNS;
Keywords:
biopartitioning micellar chromatography (BMC); ecotoxicity; quantitative retention-activity relationships (QRAR); quantitative structure-activity relationships (QSAR); principal components analysis (PCA);
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
Physical, Chemical & Earth Sciences
Citazioni:
40
Recensione:
Indirizzi per estratti:
Indirizzo: Medina-Hernandez, MJ Univ Valencia, Dept Ouim Analit, C Vicente Andres Estelles S-N, E-46100 Burjassot, Valencia, Spain Univ Valencia C Vicente Andres Estelles S-N Burjassot Valencia Spain E-46100
Citazione:
L. Escuder-Gilabert et al., "Biopartitioning micellar chromatography to predict ecotoxicity", ANALYT CHIM, 448(1-2), 2001, pp. 173-185

Abstract

The knowledge of chemical toxicity is necessary for risk assessment and ranking of chemicals according their hazard potential. The use of biopartitioning micellar chromatography has proven to be valid in predicting several biological activities of different kinds of compounds. In this paper, the relationships between retention of 66 organic pollutants and several ecotoxicity parameters are studied. Adequate correlations retention-ecotoxicity (LC50 in fish and daphnia, EC50 in green algae and daphnia, values of chronic toxicity in fish and green algae and bioconcentration factor in fish) of organic pollutants are obtained. These models are compared with the corresponding obtained using apparent log P values of the solutes as independent variables. The QRAR models developed in this paper may be a useful approach toscreening new chemicals and in the early stage of development and selection of safer chemicals. (C) 2001 Elsevier Science B.V. All rights reserved.

ASDD Area Sistemi Dipartimentali e Documentali, Università di Bologna, Catalogo delle riviste ed altri periodici
Documento generato il 02/12/20 alle ore 17:57:15