Capillary electrophoresis determinations of trace concentrations of inorganic ions in large excess of chloride: Soft modelling using artificial neural networks for optimisation of electrolyte composition

Electrophoresis

Volumn 24, Issue 12-13, 2003, Pages 2252-2258

  Muzikář, Martin ^a   Havel, Josef ^a   Macka, Miroslav ^b  

^a MASARYK UNIVERSITY   (Czech Republic)

^b UNIVERSITY OF TASMANIA   (Australia)

Author keywords

Artificial neural network; Capillary electrophoresis; Inorganic ion; Mineral water

Indexed keywords

BEVERAGES; CAPILLARY ELECTROPHORESIS; CHLORINE COMPOUNDS; CHROMATES; ELECTROLYTES; ETHANOLAMINES; IONS; NEURAL NETWORKS; TRIETHANOLAMINE;

CONCENTRATION RANGES; ELECTROLYTE COMPOSITIONS; INORGANIC IONS; LINEAR CALIBRATION; MINERAL WATER; OPTIMISATIONS; SOFT MODELING; SULFATE ANIONS; TRACE CONCENTRATIONS; TRIETHANOLAMINES;

SULFUR COMPOUNDS;

ALPHA CYCLODEXTRIN; ANION; ANTINEOPLASTIC AGENT; CHLORIDE; CHROMIC ACID; ELECTROLYTE; HEXAMETHONIUM; HYDROXIDE; ION; METHANOL; MINERAL WATER; MITOXANTRONE; SULFATE; TRIETHANOLAMINE;

ARTICLE; ARTIFICIAL NEURAL NETWORK; CALIBRATION; CAPILLARY ELECTROPHORESIS; CHEMICAL COMPOSITION; COMPUTER MODEL; CONCENTRATION (PARAMETERS); CONTROLLED STUDY; EXPERIMENTAL DESIGN; HYDRODYNAMICS; INJECTION; PH; STATISTICAL ANALYSIS; TIME;

EID: 0347090293     PISSN: 01730835     EISSN: None     Source Type: Journal    
DOI: 10.1002/elps.200305416     Document Type: Article

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