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Analysis of Pesticide Residues in Apple Using Agilent Bond Elut QuEChERS EN Kits by GC/MS

Applications | 2012 | Agilent TechnologiesInstrumentation
GC/MSD, Sample Preparation, GC/SQ, Consumables
Industries
Food & Agriculture
Manufacturer
Agilent Technologies

Summary

Importance of the Topic


Accurate pesticide residue monitoring in fruit is essential for safeguarding consumer health and meeting regulatory standards. The QuEChERS approach has become a benchmark for quick and effective sample preparation, enabling labs to process large batches while maintaining robust analyte recovery. By optimizing cleanup and extraction, this workflow addresses the growing demand for high-throughput, reliable food safety testing.

Objectives and Study Overview


This application aimed to assess Agilent Bond Elut QuEChERS EN kits for extracting and cleaning up 17 gas-chromatography-amenable pesticides from apple. Key goals included:
  • Comparing two dispersive solid-phase extraction (SPE) volumes (1 mL and 6 mL).
  • Validating method performance in terms of recovery, reproducibility and limits of quantitation (LOQs).
  • Ensuring results comply with or fall below established maximum residue limits (MRLs).

Methods and Instrumentation


Sample Preparation and Extraction:
  • Comminution of pesticide-free apples, including skin, to ensure homogeneity; core discarded.
  • Spiking with internal standard (triphenyl phosphate) and pesticides at 10, 50, and 200 ng/g levels.
  • Acetonitrile extraction, salt-induced partitioning using anhydrous MgSO4, NaCl, and citrate buffers per EN 15662.
  • Cleanup by dispersive SPE in 2 mL (25 mg PSA, 150 mg MgSO4) or 15 mL tubes (150 mg PSA, 900 mg MgSO4), followed by centrifugation.
  • Final extract acidified and transferred for analysis.
Instrumentation:
  • Gas Chromatograph: Agilent with splitless inlet, HP-5ms Ultra Inert column and capillary flow backflush system.
  • Mass Spectrometer: Agilent 5975C operated in selected ion monitoring (SIM) mode.
  • Capillary flow technology enabled routine column backflushing to remove high-boiling matrix residues.

Main Results and Discussion


  • Calibration linearity achieved between 10 and 400 ng/g; relative standard deviation (RSD) of response factors generally <15%.
  • LOQ set at 10 ng/g, well below most regulatory MRLs for apple.
  • Recoveries ranged from 68% to 112% (average ~86%) and RSDs <15% (average ~4.7%) for both 1 mL and 6 mL SPE formats.
  • No significant performance difference between the two SPE volumes, demonstrating flexible sample throughput options.
  • Matrix interferences were minimal; selectivity in SIM mode provided clear separation of target ions.
  • Backflush strategy extended column life and preserved MS source cleanliness over multiple injections.

Benefits and Practical Applications


The described workflow offers:
  • Rapid, cost-effective extraction and cleanup without compromising accuracy.
  • Compatibility with high-throughput laboratories processing 40–50 samples per day.
  • Reliability for compliance testing across a broad range of volatile and semi-volatile pesticide classes.
  • Reduced solvent consumption and simplified logistics through Agilent’s pre-packaged kits.

Future Trends and Possible Applications


Anticipated developments include:
  • Integration of high-resolution mass spectrometry to broaden compound coverage.
  • Automation of QuEChERS workflows for even higher throughput and reproducibility.
  • Expansion of multi-residue methods to diverse matrices beyond fruits and vegetables.
  • Use of greener solvents and miniaturized extraction formats to reduce environmental impact.

Conclusion


Agilent Bond Elut QuEChERS EN kits, combined with GC/MS in SIM mode, deliver a robust and streamlined method for pesticide residue analysis in apples. The protocol meets stringent regulatory LOQs and MRLs while providing consistent recoveries and precision. Flexible SPE options and capillary backflush enhance laboratory efficiency and instrument longevity.

Reference


1. Anastassiades M., Lehotay S.J., et al. J. AOAC Int. 2003;86:412–431.
2. Lehotay S.J., et al. J. AOAC Int. 2005;88:615–629.
3. CEN/TC 275 EN 15662:2007.
4. Payá P., Anastassiades M. Anal Bioanal Chem. 2007;389:1697–1714.
5. Zhao L., Schultz D., Stevens J. Agilent Application Note 5990-3938EN.
6. EPA Pesticide Database.
7. EU MRL Database.
8. Codex Alimentarius.
9. USDA PDP Program.
10. Wylie P.L., Meng C.K. Agilent Application Note 5990-3578EN.
11. Meng C.K. Agilent Publication 5989-6018EN.
12. Wylie P.L. Agilent Publication 5989-6095EN.
13. Zhao L., Stevens J. Agilent Application Note 5990-4068EN.

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