Loading...

Optimization of dispersive liquid-liquid microextraction and improvement of detection limit of methyl tert-butyl ether in water with the aid of chemometrics

Karimi, M ; Sharif University of Technology | 2010

1780 Viewed
  1. Type of Document: Article
  2. DOI: 10.1016/j.chroma.2010.09.015
  3. Publisher: 2010
  4. Abstract:
  5. Dispersive liquid-liquid microextraction (DLLME) coupled with gas chromatography-mass spectrometry-selective ion monitoring (GC-MS-SIM) was applied to the determination of methyl tert-butyl ether (MTBE) in water samples. The effect of main parameters affecting the extraction efficiency was studied simultaneously. From selected parameters, volume of extraction solvent, volume of dispersive solvent, and salt concentration were optimized by means of experimental design. The statistical parameters of the derived model were R 2=0.9987 and F=17.83. The optimal conditions were 42.0μL for extraction solvent, 0.30mL for disperser solvent and 5% (w/v) for sodium chloride. The calibration linear range was 0.001-370μgL -1. The improved detection limit with the aid of chemometrics was 0.3ngL -1. The relative standard deviation (RSD) with n=9 for 0.1mgL -1 MTBE in water with and without internal standard was 2.7% and 3.1%, respectively. Under the optimal conditions, the relative recoveries of spiked MTBE in different water samples were in the range of 100-105%
  6. Keywords:
  7. Chemometrics ; Dispersive liquid-liquid microextraction ; Methyl tert-butyl ether ; Detection limits ; Experimental design ; Extraction efficiencies ; Extraction solvents ; GC-MS-SIM ; Internal standards ; Linear range ; Main parameters ; Optimal conditions ; Relative standard deviations ; Salt concentration ; Selective ion monitoring ; Statistical parameters ; Water samples ; Ethers ; Gas chromatography ; Liquid chromatography ; Liquids ; Mass spectrometry ; Optimization ; Organic compounds ; Solvents ; Solvent extraction ; sodium chloride ; Tert butyl methyl ether ; Calibration ; Chemometric analysis ; Controlled study ; Extraction ; Ion monitoring ; Mass fragmentography ; Priority journal ; Process optimization ; Product recovery ; water analysis ; Analysis of Variance ; Chemical Fractionation ; Computing Methodologies ; Data Interpretation, Statistical ; Gas Chromatography-Mass Spectrometry ; Linear Models ; Methyl Ethers ; Models, Chemical ; Sensitivity and Specificity ; Water Pollutants, Chemical
  8. Source: Journal of Chromatography A ; Volume 1217, Issue 45 , November , 2010 , Pages 7017-7023 ; 00219673 (ISSN)
  9. URL: http://www.sciencedirect.com/science/article/pii/S0021967310012197