scholarly journals Headspace Solid Phase Microextraction Application for Pesticide Residues in Fruits and Vegetables

Author(s):  
Abookleesh L Frage , Almrhag M. Omar , Zatout M. Massoud

Headspace solid phase microextraction, fundamental& principle with its application on the determination of various pesticides are reviewed in this article. Pesticides extraction as a sample preparation step prior to subsequent analysis is aimed to achieve a reliable and accurate determination of this contaminants residue in food. Fast and high efficiency extraction process with free solvent consumption and overall cost is achieved through headspace solid phase micro extraction. HSPME is an equilibrium process which depends on the physio-chemical properties of the analyte to be extracted. Sample preparation and extraction condition such as fiber coating, temperature, time etc, have a direct impact on the extraction efficiency and sensitivity of headspace technique.

2012 ◽  
Vol 95 (5) ◽  
pp. 1331-1337 ◽  
Author(s):  
Rada D Ðurović ◽  
Tijana M Ðorðević ◽  
Ljiljana R Šantrić

Abstract This paper describes development and validation of a multiresidue method for the determination of five pesticides (terbufos, prochloraz, chloridazon, pendimethalin, and fluorochloridone) belonging to different pesticide groups in soil samples by GC/MS, followed by its application in the analysis of some agricultural soil samples. The method is based on a headspace solid-phase microextraction method. Microextraction conditions, namely temperature, extraction time, and NaCl content, were tested and optimized using a 100 μm polydimethylsiloxane fiber. Three extraction solvents [methanol, methanol–acetone (1 + 1, v/v), and methanol–acetone–hexane (2 + 2 + 1, v/v/v)] and the optimum number of extraction steps within the sample preparation stage were optimized for the extraction procedure. LOD values for all the studied compounds were less than 12 μg/kg. Recovery values for multiple analyses of soil samples fortified at 30 μg/kg of each pesticide were higher than 64%. The method was proven to be repeatable, with RSD lower than 15%.


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