Conference Paper

Optimization of Separation and Detection Conditions for the Multi Residue Analysis of Organochlorine and Organophosphorus Pesticides by GC-MS/MS”

Conference: icas-2010: International Congress on Analytical Sciences 2010,
Download full-text


Available from: Deepa G T, Oct 10, 2015
1 Follower
54 Reads
  • Source
    Pesticides - Formulations, Effects, Fate, 01/2011; , ISBN: 978-953-307-532-7
  • Source
    [Show abstract] [Hide abstract]
    ABSTRACT: A multi-residue method has been developed and validated for the simultaneous quantification and confirmation of around 130 multiclass pesticides in orange, nectarine and spinach samples by GC-MS/MS with a triple quadrupole analyzer. Compounds have been selected from different chemical families including insecticides, herbicides, fungicides and acaricides. Three isotopically labeled standards have been used as surrogates in order to improve accurate quantitation. Samples were extracted by using accelerated solvent extraction (ASE) with ethyl acetate. In the case of spinach, an additional clean-up step by gel permeation chromatography was applied. Determination was performed by GC-MS/MS in electron ionization mode acquiring two MS/MS transitions for each analyte. The intensity ratio between quantitation transition (Q) and identification transition (q) was used as confirmatory parameter (Q/q ratio). Accuracy and precision were evaluated by means of recovery experiments in orange, nectarine, and spinach samples spiked at two concentration levels (0.01 and 0.05 mg/kg). Recoveries were, in most cases, between 70% and 120% and RSD were below 20%. The limits of quantification objective for which the method was satisfactorily validated in the three samples matrices were for most pesticides 0.01 mg/kg. Matrix effects over the GC-MS/MS determination were tested by comparison of reference standards in pure solvent with matrix-matched standards of each matrix. Data obtained showed enhancement of signal for the majority of analytes in the three matrices investigated. Consequently, in order to reduce the systematic error due to this effect, quantification was performed using matrix-matched standard calibration curves. The matrix effect study was extended to other food matrices such as raisin, paprika, cabbage, pear, rice, legume, and gherkin, showing in all cases a similar signal enhancement effect.
    Analytical and Bioanalytical Chemistry 03/2010; 397(7):2873-91. DOI:10.1007/s00216-010-3597-8 · 3.44 Impact Factor