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Combined use of a modifier gas generator, analyte protectants and multiple internal standards for effective and robust compensation of matrix effects in gas chromatographic analysis of pesticides. | LitMetric

AI Article Synopsis

  • The study investigates the impact of matrix effects on the quantification of pesticides using gas chromatography and explores a modifier gas generator (MGG) as a potential solution.
  • Ethylene glycol (EG) was utilized as the modifier gas, showing significant effectiveness in reducing matrix effects, especially for organophosphate pesticides and others with amino groups, when combined with analyte protectants and multiple internal standards.
  • The developed method demonstrated better analytical performance than traditional matrix-matched calibration methods, making it a practical solution for real-world pesticide analysis in various food commodities.

Article Abstract

In the analysis of pesticides performed with gas chromatography, the quantitative performance of measurements can be severely compromised by phenomena known as matrix effects. In seeking a solution to the problem of matrix effects, the application of a modifier gas generator (MGG) was investigated in this study, together with analyte protectants and multiple internal standards. Ethylene glycol (EG) was used as modifier gas and matrix effects in GCMS analysis were then evaluated by using the extracts of various food commodities. MGG was used in combination with other known methods of matrix effect compensation and its performance in reducing matrix effects tested. We have found that by combining MGG with conventional analyte protectants, matrix effects were substantially reduced for most of pesticides. Use of EG was especially effective for organophosphate pesticides and those with amino groups. Using this approach, the shortcomings of conventional analyte protectants were remedied. Although neither EG nor analyte protectants could sufficiently reduce the matrix effects for certain classes of pesticides, this limitation could be overcome with the use of multiple internal standards (IS) in the analysis. Finally, it was shown that the method we developed could achieve better analytical performance than the matrix-matched calibration method. Our method was robust with respect to the variation of food matrix components, so its application to real-world analyses would be practical and promising.

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Source
http://dx.doi.org/10.1016/j.chroma.2018.12.051DOI Listing

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