Quantitative structure property relationship study of the electrophoretic mobilities of some benzoic acids derivatives in different carrier electrolyte compositions

Electrophoresis

Volumn 26, Issue 15, 2005, Pages 2968-2973

  Fatemi, Mohammad H ^a   Goudarzi, Nasser ^b  

^a UNIVERSITY OF MAZANDARAN   (Iran)

^b SHAHROOD UNIVERSITY OF TECHNOLOGY   (Iran)

Author keywords

Artificial neural network; Benzoic acid derivatives; Electrophoretic mobility; Molecular descriptors; Quantitative structure property relationship

Indexed keywords

BENZOIC ACID; CAPILLARY ELECTROPHORESIS; DISTRIBUTION FUNCTIONS; ELECTROLYTES; ELECTROPHORETIC MOBILITY; FRICTION; LINEAR REGRESSION;

AUTO CORRELATION; BENZOIC ACID DERIVATIVES; CARRIER ELECTROLYTES; DESCRIPTORS; ELECTROLYTE COMPOSITIONS; LINEAR REGRESSION TECHNIQUES; MOLECULAR DESCRIPTORS; QUANTITATIVE STRUCTURE PROPERTY RELATIONSHIPS; RADIAL DISTRIBUTION FUNCTIONS; STEPWISE MULTIPLE LINEAR REGRESSION;

NEURAL NETWORKS;

BENZOIC ACID DERIVATIVE; ELECTROLYTE;

ANALYTIC METHOD; ARTICLE; ARTIFICIAL NEURAL NETWORK; CAPILLARY ELECTROPHORESIS; CHEMICAL COMPOSITION; CONTROLLED STUDY; DIELECTRIC CONSTANT; ELECTRONICS; ELECTROPHORETIC MOBILITY; EXPERIMENTAL MODEL; FORCE; FRICTION; GEOMETRY; HYDRODYNAMICS; LINEAR REGRESSION ANALYSIS; MOLECULAR WEIGHT; PREDICTION; QUANTITATIVE STRUCTURE PROPERTY RELATION; SOLUTE; STEREOCHEMISTRY;

EID: 23844435049     PISSN: 01730835     EISSN: None     Source Type: Journal    
DOI: 10.1002/elps.200410343     Document Type: Article

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