A quantitative structure property relationship for prediction of solubilization of hazardous compounds using GA-based MLR in CTAB micellar media

Journal of Hazardous Materials

Volumn 161, Issue 1, 2009, Pages 74-80

  Ghasemi, Jahan B ^a   Abdolmaleki, Azizeh ^a   Mandoumi, Noushin ^a  

^a RAZI UNIVERSITY   (Iran)

Author keywords

Cationic micelle; Hazardous compound; Micellization; Multivariate linear regression; Quantitative structure property relationship

Indexed keywords

CATIONIC SURFACTANTS; COLLOIDS; CORRELATION METHODS; DYES; GENETIC ALGORITHMS; IMAGE CLASSIFICATION; ORGANIC COMPOUNDS; REGRESSION ANALYSIS; SOLUBILITY; STATISTICAL TESTS; SULFUR COMPOUNDS; SURFACE ACTIVE AGENTS; TERNARY SYSTEMS;

CATIONIC MICELLE; CORRELATION COEFFICIENTS; CROSS VALIDATIONS; DATA SETS; DESCRIPTORS; EXTERNAL VALIDATIONS; HAZARDOUS COMPOUND; HAZARDOUS COMPOUNDS; LINEAR TECHNIQUES; MICELLAR MEDIAS; MICELLAR SOLUTIONS; MLR METHODS; MLR MODELS; MOLECULAR DESCRIPTORS; MULTIPLE LINEAR REGRESSION METHODS; MULTIVARIATE LINEAR REGRESSION; QSPR MODELS; QUANTITATIVE STRUCTURE PROPERTY RELATIONSHIP; QUANTITATIVE STRUCTURE PROPERTY RELATIONSHIPS; REGRESSION COEFFICIENTS; SIMPLE MODELS; SOLUTE MOLECULES; STANDARD ERRORS; STERIC PROPERTIES; STRUCTURAL DESCRIPTORS; TRAINING AND TESTS; VARIABLE SELECTIONS;

FORECASTING;

CATIONIC SURFACTANT;

ESTIMATION METHOD; GENETIC ALGORITHM; HYDROPHOBICITY; MODEL VALIDATION; ORGANIC COMPOUND; PREDICTION; QUANTITATIVE ANALYSIS; SOLUBILITY; SOLUBILIZATION; SURFACTANT;

ARTICLE; DANGEROUS GOODS; GENETIC ALGORITHM; MICELLIZATION; MULTIPLE LINEAR REGRESSION ANALYSIS; QUANTITATIVE STRUCTURE PROPERTY RELATION; SOLUBILIZATION;

ALGORITHMS; BUFFERS; CATIONS; HAZARDOUS SUBSTANCES; LINEAR MODELS; MICELLES; QUANTITATIVE STRUCTURE-ACTIVITY RELATIONSHIP; SOLUBILITY; SURFACE-ACTIVE AGENTS;

EID: 56149093209     PISSN: 03043894     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jhazmat.2008.03.089     Document Type: Article

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