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Volume 36 Issue 1
Jan.  2021
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Article Contents
LI J, ZHANG F, HUANG J J, et al. Optimized Application of Fe3O4 Nanoparticles for Pesticide Detection in Tea [J]. Fujian Journal of Agricultural Sciences,2021,36(1):65−70 doi: 10.19303/j.issn.1008-0384.2021.01.009
Citation: LI J, ZHANG F, HUANG J J, et al. Optimized Application of Fe3O4 Nanoparticles for Pesticide Detection in Tea [J]. Fujian Journal of Agricultural Sciences,2021,36(1):65−70 doi: 10.19303/j.issn.1008-0384.2021.01.009

Optimized Application of Fe3O4 Nanoparticles for Pesticide Detection in Tea

doi: 10.19303/j.issn.1008-0384.2021.01.009
  • Received Date: 2020-08-09
  • Rev Recd Date: 2020-11-03
  • Available Online: 2021-02-08
  • Publish Date: 2021-01-31
  •   Objective  A newly modified analytical method for detecting pesticide residues in tea was developed to improve test efficiency and reduce cost.   Method   Fe3O4 nanoparticles were used to replace the conventional pigment-removing material prior to measurements on pesticide residues, including carbendazim, pyrimethanil, tricyclazol, imidachloprid, acetamiprid, methomyl, and thiamethoxam, in tea by liquid chromatography-tandem mass spectrometry. The methodology was evaluated according to its applicability and validated in a spiked residue test.   Result  The recovery rates on the 7 pesticides under the modified method using 300 mg Fe3O4 nanoparticles for pigment removal pretreatment were higher than graphitizing with carbon black (GCB). The pigment-removed tea extracts were separated with a Phenomenex Luna C8 (150 mm × 2.0 mm × 3.0 µm) by using 0.1 % formic acid and 5 mmol·L-1 ammonium acetate as Phase A and acetonitrile as Phase B for the mobile phase prior to the tandem mass spectrometric analysis under the multiple reaction monitoring mode with external standards. A linearity on the measurements by the new method was achieved within the pesticide concentrations of 0-50 µg·L-1 showing correlation coefficients (R2) greater than 0.995 for all 7 pesticides. On 5, 10, and 50 ng·g-1 spiked pesticide samples, average recovery rates of the new method ranged from 71.6 % to 107.7 % with relative standard deviations of 3.95%-13.62 %. The limits of detection (LOD) on the pesticides by the method were between 0.15 µg·kg-1 and 0.60 µg·kg-1, and the limits of quantitation (LOQ) between 0.5 µg·kg-1 and 2.0 µg·kg-1.   Conclusion  The newly developed pesticide detection method was stable, repeatable, and accurate for the designed purpose.
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