Rapid Analysis of Residues of 186 Pesticides in Hawk Tea Using Modified QuEChERS Coupled with Gas Chromatography Tandem Mass Spectrometry

Int J Environ Res Public Health. 2022 Oct 3;19(19):12639. doi: 10.3390/ijerph191912639.

Abstract

In this work, the QuEChERS method was modified and evaluated for the determination of 186 pesticides from caffeine-free and fatty hawk tea prior to their gas chromatography tandem mass spectrometry analysis for the first time. The results showed that the combination of MgSO4 + PSA + MWCNTs plus EMR-Lipid provided the lowest matrix effect and best recovery; 117 of 186 pesticides manifested weak matrix effects. Thus, for accurate quantification, it is necessary to use matrix-matched calibration curves to compensate for the matrix effect. At the spiked level of 0.1 mg/kg, the average recoveries of 184 pesticides were in the range of 70-120% and the RSDs were 0.3-14.4% by the modified method. Good linearity was shown for 186 analytes at concentration of 0.01 mg/L~0.4 mg/L, and the correlation coefficients exceeded 0.99 for 182 pesticides. The detection limits of 186 pesticides by the modified QuEChERS method were 0.001-0.02 mg/kg, and the limits of quantification (LOQ) were 0.005 mg/kg~0.05 mg/kg. The necessity of solvent exchange is also explained in this work. The successful application of the modified QuEChERS in real samples proved that this method could be one of the routine options for analysis of herbal tea.

Keywords: EMR-Lipid; GC-MS/MS; hawk tea; modified QuEChERS.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Gas Chromatography-Mass Spectrometry / methods
  • Humans
  • Lipids / analysis
  • Male
  • Pesticide Residues* / analysis
  • Pesticides* / analysis
  • Prostate-Specific Antigen / analysis
  • Solvents
  • Tandem Mass Spectrometry / methods
  • Tea / chemistry
  • Teas, Herbal* / analysis

Substances

  • Lipids
  • Pesticide Residues
  • Pesticides
  • Solvents
  • Tea
  • Teas, Herbal
  • Prostate-Specific Antigen

Grants and funding

This research was funded by the Natural Science Foundation of Chongqing, China (cstc2021jxjl20019, CSTB2022NSCQ-MSX0303); Finance Special Project of Chongqing, China (NKY-2022AB023) and Natural Science Foundation of Chongqing, China (cqaas2021jxjl25).