Computational ecotoxicology: Simultaneous prediction of ecotoxic effects of nanoparticles under different experimental conditions

Environment International

Volumn 73, Issue , 2014, Pages 288-294

  Kleandrova, Valeria V ^a   Luan, Feng ^a,b   González Díaz, Humberto ^c,d   Ruso, Juan M ^e   Melo, André ^a   Speck Planche, Alejandro ^a,e   Cordeiro, M Natália D S ^a  

^a UNIVERSITY OF PORTO   (Portugal)

^b YANTAI UNIVERSITY   (China)

^c UNIVERSITY OF THE BASQUE COUNTRY UPV EHU   (Spain)

^d BASQUE FOUNDATION FOR SCIENCE   (Spain)

^e UNIVERSITY OF SANTIAGO DE COMPOSTELA   (Spain)

Author keywords

Ecotoxicity; Moving average approach; Nanoparticle; Perturbation theory; Prediction; QSAR

Indexed keywords

BIOLOGY; COMPUTATIONAL CHEMISTRY; ECOLOGY; FORECASTING; INDUSTRIAL POISONS; NANOSTRUCTURED MATERIALS; NICKEL; RISK ASSESSMENT; TOXICITY; COMPUTATION THEORY; INDICATORS (CHEMICAL); PERTURBATION TECHNIQUES;

CHEMICAL COMPOSITIONS; ECOTOXICITY; EFFICIENT PREDICTIONS; EXPERIMENTAL CONDITIONS; EXPERIMENTAL EVIDENCE; MOVING AVERAGES; PERTURBATION THEORY; QSAR; QUANTITATIVE STRUCTURE ACTIVITY;

NANOPARTICLES;

CERIUM OXIDE; COBALT; COPPER OXIDE; GADOLINIUM; IRON; LANTHANUM OXIDE; NANOPARTICLE; NICKEL; SILVER; TITANIUM; YTTERBIUM; ZINC; ZINC OXIDE;

BIOINDICATOR; ECOSYSTEM RESPONSE; ECOTOXICOLOGY; ENVIRONMENTAL CONDITIONS; MATHEMATICAL ANALYSIS; NANOTECHNOLOGY; NICKEL; NUMERICAL MODEL; PARTICLE SIZE; PREDICTION; CRUSTACEAN; EXPERIMENTAL STUDY; TOXICITY TEST;

ARTICLE; CHEMICAL COMPOSITION; DAPHNIA MAGNA; ECOTOXICITY; ECOTOXICOLOGY; HUMAN; NANOTECHNOLOGY; PHYSICAL CHEMISTRY; PREDICTION; PRIORITY JOURNAL; QUANTITATIVE STRUCTURE ACTIVITY RELATION; RISK ASSESSMENT; ACCURACY; ALGORITHM; BIOSAFETY; ENVIRONMENTAL EXPOSURE; ENVIRONMENTAL MONITORING; INDICATOR ORGANISM; MATHEMATICAL COMPUTING; MATHEMATICAL MODEL; NANOANALYSIS; NONHUMAN; PARTICLE SIZE; SENSITIVITY AND SPECIFICITY; ANIMAL; BIOLOGY; CHEMISTRY; DAPHNIA; DRUG EFFECTS; PROCEDURES; TOXICITY TESTING;

ANIMALS; COMPUTATIONAL BIOLOGY; DAPHNIA; ECOTOXICOLOGY; NANOPARTICLES; NICKEL; QUANTITATIVE STRUCTURE-ACTIVITY RELATIONSHIP; TOXICITY TESTS;

EID: 84907334885     PISSN: 01604120     EISSN: 18736750     Source Type: Journal    
DOI: 10.1016/j.envint.2014.08.009     Document Type: Article

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