Predictive model development for adsorption of aromatic contaminants by multi-walled carbon nanotubes

Environmental Science and Technology

Volumn 47, Issue 5, 2013, Pages 2295-2303

  Apul, Onur G ^a   Wang, Qiliang ^a   Shao, Ting ^a   Rieck, James R ^b   Karanfil, Tanju ^a  

^a AMRL   (United States)

^b CLEMSON UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ADSORPTION DATA; ADSORPTION INTERACTIONS; AROMATIC CONTAMINANTS; DATA FITTINGS; DESCRIPTORS; DEVELOPED MODEL; EQUILIBRIUM CONCENTRATION; GAIN INSIGHT; LINEAR SOLVATION ENERGY RELATIONSHIPS; LOW MOLECULAR WEIGHT; LSER EQUATIONS; LSER MODELS; MOLECULAR VOLUME; MULTIPLE LINEAR REGRESSION ANALYSIS; ORGANIC CONTAMINANT; PARAMETER SELECTION; PREDICTIVE MODELS; QUANTITATIVE STRUCTURE-ACTIVITY RELATIONSHIPS; TRAINING DATA; VALIDATION DATA;

ADSORPTION; AROMATIZATION; HYDROGEN BONDS; LINEAR REGRESSION; MOLECULAR WEIGHT;

COMPUTATIONAL CHEMISTRY;

AROMATIC COMPOUND; MULTI WALLED NANOTUBE; ORGANIC COMPOUND;

ADSORPTION; CHEMICAL BONDING; CONCENTRATION (COMPOSITION); DATA SET; EQUILIBRIUM; FULLERENE; HYDROGEN; NANOTECHNOLOGY; NUMERICAL MODEL; ORGANIC POLLUTANT; PREDICTION;

ADSORPTION; ANALYTICAL PARAMETERS; ARTICLE; CONTAMINATION; HYDROGEN BOND; MOLECULAR WEIGHT; PREDICTION; QUANTITATIVE STRUCTURE ACTIVITY RELATION;

ADSORPTION; HYDROCARBONS, AROMATIC; HYDROGEN BONDING; LINEAR MODELS; MODELS, THEORETICAL; NANOTUBES, CARBON; QUANTITATIVE STRUCTURE-ACTIVITY RELATIONSHIP;

EID: 84874625187     PISSN: 0013936X     EISSN: 15205851     Source Type: Journal    
DOI: 10.1021/es3001689     Document Type: Article

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