Spectrophotometric determination of iron species using a combination of artificial neural networks and dispersive liquid-liquid microextraction based on solidification of floating organic drop

Journal of Hazardous Materials

Volumn 197, Issue , 2011, Pages 176-182

  Moghadam, Masoud Rohani ^a   Shabani, Ali Mohammad Haji ^a   Dadfarnia, Shayessteh ^a  

^a YAZD UNIVERSITY   (Iran)

Author keywords

Artificial neural networks; Dispersive liquid liquid microextraction solidification floating organic drop; Iron speciation; Spectrophotometry

Indexed keywords

2-THENOYLTRIFLUOROACETONE; ABSORBANCES; CALIBRATION GRAPHS; COMPLEXING AGENTS; DETECTION LIMITS; DISPERSIVE LIQUID-LIQUID MICROEXTRACTION; ENHANCEMENT FACTOR; GRAPHITE FURNACE ATOMIC ABSORPTION SPECTROMETRY; INDEPENDENT ANALYSIS; IRON SPECIES; OPTIMUM CONDITIONS; RELATIVE STANDARD DEVIATIONS; SIMULTANEOUS DETERMINATIONS; SIMULTANEOUS SEPARATION; SPECTROPHOTOMETRIC DETERMINATION; WATER SAMPLES; WAVELENGTH REGIONS;

ATOMIC ABSORPTION SPECTROMETRY; DISPERSION (WAVES); DROPS; ETHANOL; IRON; IRON COMPOUNDS; LIQUIDS; ORGANIC SOLVENTS; PHASE SEPARATION; POTABLE WATER; SOLIDIFICATION; SOLVENT EXTRACTION; SPECTROPHOTOMETRY;

NEURAL NETWORKS;

ALCOHOL; IRON; THENOYLTRIFLUOROACETONE; UNDECANOL;

ACCURACY ASSESSMENT; ALCOHOL; ARTIFICIAL NEURAL NETWORK; CONCENTRATION (COMPOSITION); DETECTION METHOD; IRON; LINEARITY; ORGANIC COMPOUND; SOLIDIFICATION; SOLVENT; SPECIATION (CHEMISTRY); SPECTROPHOTOMETRY; WAVELENGTH;

ARTICLE; ARTIFICIAL NEURAL NETWORK; ATOMIC ABSORPTION SPECTROMETRY; CALIBRATION; LIQUID PHASE MICROEXTRACTION; PH; SPECIES DIFFERENTIATION; WATER SAMPLING;

CALIBRATION; HYDROGEN-ION CONCENTRATION; IRON; LIQUID PHASE MICROEXTRACTION; MULTIVARIATE ANALYSIS; NEURAL NETWORKS (COMPUTER); SPECTROPHOTOMETRY, ULTRAVIOLET;

EID: 82155175731     PISSN: 03043894     EISSN: 18733336     Source Type: Journal    
DOI: 10.1016/j.jhazmat.2011.09.073     Document Type: Article

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