Brewing Excellence: Quantitating Over 200 Pesticides in Black Tea with Steady Performance and Maximized Uptime

Posters | 2024 | Agilent Technologies | ASMSInstrumentation
GC/MSD, GC/MS/MS, GC/QQQ
Industries
Food & Agriculture
Manufacturer
Agilent Technologies

Summary

Importance of the Topic


Monitoring pesticide residues in tea is essential to ensure consumer safety and regulatory compliance. Black tea, a widely consumed beverage, can accumulate diverse pesticide residues from cultivation and processing. Advanced analytical methods are therefore required to detect trace-level contaminants in complex plant matrices with high sensitivity and robustness.

Objectives and Study Overview


This study aimed to develop a high-throughput GC/MS/MS workflow for quantifying over 200 GC-amenable pesticides in black tea. Key goals included achieving low limits of quantification (LOQs), extended instrument uptime, and reliable performance over hundreds of injections. The method integrated optimized sample cleanup, retention time locking, and novel ion source technology to deliver sensitive and reproducible results.

Methodology and Instrumentation


The analytical workflow combined modified QuEChERS extraction with enhanced matrix removal and state-of-the-art GC/TQ technology:
  • Sample preparation: Black tea powder was extracted with acetonitrile and cleaned using Captiva EMR–GPD mixed-mode cartridges to reduce matrix interferences and improve recoveries.
  • Instrumentation: An Agilent 8890 GC coupled to a 7010D triple quadrupole MS equipped with the novel HES 2.0 electron ionization source provided enhanced sensitivity and robustness.
  • MRM database and software: The Agilent Pesticides & Environmental Pollutants MRM Database (P&EP 4.0) supplied up to nine transitions per compound for 1,100+ analytes. Dynamic MRM acquisition with retention time locking in MassHunter Acquisition 13 enabled rapid method setup and precise retention alignment.
  • Backflush strategy: Mid-column backflushing reduced cycle times and minimized ion source contamination by removing heavy residues before they reached the MS.

Main Results and Discussion


Key performance metrics demonstrated the method_x0092_s effectiveness:
  • Sensitivity: LOQs of 0.01 ppb for 34% of pesticides, ≤ 0.1 ppb for 74%, and ≤ 2 ppb for 96% of targets.
  • Linearity: Five orders of magnitude dynamic range (0.01–1,000 ppb) with excellent correlation in matrix-matched calibration.
  • Precision and robustness: Over 800 consecutive injections of spiked tea extract (2 ppb) showed response RSDs < 20% for 176 compounds across 400 hours of runtime.
  • Recovery: Acceptable recoveries (40–120%) for 243 pesticides at 10 ppb and 241 at 50 ppb, including labile and planar compounds.
  • Maintenance efficiency: Automated retention time locking and in-system health monitoring via Early Maintenance Feedback allowed septum and liner replacement in under four minutes, maximizing uptime.

Benefits and Practical Applications


This workflow supports quality assurance in tea production and regulatory laboratories by offering:
  • High sample throughput with extended maintenance intervals.
  • Robust performance in complex food matrices.
  • Rapid method development using comprehensive MRM libraries and automated retention alignment.
  • Reliable quantification of challenging pesticides such as captan and folpet at low ppb levels.

Future Trends and Applications


Ongoing developments may include integration with high-resolution MS to further enhance confidence in compound identification, automated data processing pipelines for large sample batches, and expansion of pesticide libraries to cover emerging contaminants. Coupling GC/TQ platforms with digital lab management systems could streamline compliance reporting and real-time instrument health tracking.

Conclusion


The optimized GC/MS/MS strategy combining EMR cleanup, backflushing, HES 2.0 ion source, and advanced software delivers sensitive, accurate, and high-throughput pesticide analysis in black tea. This approach ensures regulatory compliance and safeguards consumer health through reliable detection of hundreds of pesticide residues.

Reference


  • Agilent MassHunter Pesticides and Environmental Pollutants MRM Database (P&EP 4.0), G9250AA.

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