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Study for Residue Analysis of Fluxametamid in Agricultural Commodities

  • Kim, Ji Young (Division of Import Food Analysis, Ministry of Food and Drug Safety-Seoul Region) ;
  • Choi, Yoon Ju (Food Standard Division, Food Standard Planning, Ministry of Food and Drug) ;
  • Kim, Jong Soo (Division of Import Food Analysis, Ministry of Food and Drug Safety-Seoul Region) ;
  • Kim, Do Hoon (Division of Import Food Analysis, Ministry of Food and Drug Safety-Seoul Region) ;
  • Do, Jung Ah (Pesticide and Veterinary Drug Residues Division, National Institute of Food and Drug Safety Evaluation, Ministry of Food and Drug Safety) ;
  • Jung, Yong Hyun (Pesticide and Veterinary Drug Residues Division, National Institute of Food and Drug Safety Evaluation, Ministry of Food and Drug Safety) ;
  • Lee, Kang Bong (Pesticide and Veterinary Drug Residues Division, National Institute of Food and Drug Safety Evaluation, Ministry of Food and Drug Safety) ;
  • Kim, Hyochin (Division of Import Food Analysis, Ministry of Food and Drug Safety-Seoul Region)
  • Received : 2019.03.19
  • Accepted : 2019.03.27
  • Published : 2019.03.31

Abstract

BACKGROUND: Accurate and simple analytical method determining Fluxametamid residue was necessary in various food matrices. Additionally, fulfilment of the international guideline of Codex (Codex Alimentarius Commission CAC/GL 40) was required for the analytical method. In this study, we developed Liquid Chromatography-Tandem Mass Spectrometry (LC-MS/MS) method to determine the Fluxametamid residue in foods. METHODS AND RESULTS: Fluxametamid was extracted with acetonitrile, partitioned and concentrated with dichloromethane. To remove the interferences, silica SPE cartridge was used before LC-MS/MS (Liquid Chromatography-Tandem Mass Spectrometry) analysis with $C_{18}$ column. Five agricultural commodities (mandarin, potato, soybean, hulled rice, and red pepper) were used as a group representative to verify the method. The liner matrix-matched calibration curves were confirmed with coefficient of determination ($r^2$) greater than 0.99 at calibration range of 0.001-0.25 mg/kg. The limits of detection and quantification were 0.001 and 0.005 mg/kg, respectively. Mean average accuracies were shown to be 82.24-115.27%. The precision was also shown to be less than 10% for all five samples. CONCLUSION: The method investigated in this study was suitable to the Codex guideline for the residue analysis. Thus, this method can be useful for determining the residue in various food matrices as routine analysis.

Keywords

References

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