Simultaneous Suspect Screening and Quantitation of Pesticides in a Complex Matrix Using an Agilent 6546 LC/Q-TOF
Applications | 2024 | Agilent TechnologiesInstrumentation
Pesticide contamination in complex food matrices such as black pepper poses a significant risk to consumer health and global trade. Black pepper’s rich composition of essential oils, alkaloids, and pigments complicates analytical detection of trace residues. High resolution mass spectrometry coupled with efficient sample cleanup is critical to meet stringent regulatory maximum residue limits and to ensure reliable screening for a wide range of pesticide chemistries.
This application note describes a comprehensive workflow for simultaneous suspect screening and targeted quantitation of over 300 pesticides in black pepper. The aim was to develop a single analytical method that provides high throughput, robust cleanup, and accurate quantification to satisfy regulatory and quality control requirements.
Samples were extracted using an Agilent Bond Elut QuEChERS EN kit, followed by pass-through cleanup with Agilent Captiva EMR–GPD cartridges. Chromatographic separation employed an Agilent 1290 Infinity II UHPLC, and detection used an Agilent 6546 LC/Q-TOF MS operated in All Ions MS/MS data-independent acquisition mode. Agilent MassHunter Quantitative Analysis software with a personal compound database library enabled integrated workflows for both targeted quantitation and suspect screening.
The method achieved screening detection limits of ≤5 µg/kg for most pesticides. Limits of quantitation met regulatory thresholds at ≤10 µg/kg, with calibration linearity above R2 = 0.99 across 0.5–10 µg/L in matrix-matched standards. Mean recoveries for the majority of analytes ranged from 70 to 120 %, with intraday and interday precision below 20 % RSD. Mass accuracy was consistently within ±5 ppm throughout the chromatographic run, ensuring reliable identification of both target and suspect compounds.
The unified workflow reduces analysis time by combining targeted and non-target screening in a single instrument run. Efficient cleanup improves instrument performance and minimizes matrix effects. This approach supports routine QA/QC and regulatory testing laboratories in maintaining high throughput without sacrificing data quality.
The methodology can be extended to other challenging food and botanical matrices. Emerging cleanup materials and advanced data processing algorithms, including machine learning-enhanced screening, will further expand non-targeted contaminant discovery. Integration with automated sample preparation platforms promises additional gains in throughput and reproducibility.
The described workflow delivers comprehensive suspect screening and accurate quantitation of hundreds of pesticides in black pepper using a single LC/Q-TOF analysis. The combination of tailored sample preparation, high resolution mass spectrometry, and unified data processing meets the stringent performance criteria required for modern food safety testing.
LC/TOF, LC/HRMS, LC/MS, LC/MS/MS
IndustriesFood & Agriculture
ManufacturerAgilent Technologies
Summary
Significance of the topic
Pesticide contamination in complex food matrices such as black pepper poses a significant risk to consumer health and global trade. Black pepper’s rich composition of essential oils, alkaloids, and pigments complicates analytical detection of trace residues. High resolution mass spectrometry coupled with efficient sample cleanup is critical to meet stringent regulatory maximum residue limits and to ensure reliable screening for a wide range of pesticide chemistries.
Objectives and Overview
This application note describes a comprehensive workflow for simultaneous suspect screening and targeted quantitation of over 300 pesticides in black pepper. The aim was to develop a single analytical method that provides high throughput, robust cleanup, and accurate quantification to satisfy regulatory and quality control requirements.
Methodology and Instrumentation
Samples were extracted using an Agilent Bond Elut QuEChERS EN kit, followed by pass-through cleanup with Agilent Captiva EMR–GPD cartridges. Chromatographic separation employed an Agilent 1290 Infinity II UHPLC, and detection used an Agilent 6546 LC/Q-TOF MS operated in All Ions MS/MS data-independent acquisition mode. Agilent MassHunter Quantitative Analysis software with a personal compound database library enabled integrated workflows for both targeted quantitation and suspect screening.
Main results and discussion
The method achieved screening detection limits of ≤5 µg/kg for most pesticides. Limits of quantitation met regulatory thresholds at ≤10 µg/kg, with calibration linearity above R2 = 0.99 across 0.5–10 µg/L in matrix-matched standards. Mean recoveries for the majority of analytes ranged from 70 to 120 %, with intraday and interday precision below 20 % RSD. Mass accuracy was consistently within ±5 ppm throughout the chromatographic run, ensuring reliable identification of both target and suspect compounds.
Benefits and practical applications of the method
The unified workflow reduces analysis time by combining targeted and non-target screening in a single instrument run. Efficient cleanup improves instrument performance and minimizes matrix effects. This approach supports routine QA/QC and regulatory testing laboratories in maintaining high throughput without sacrificing data quality.
Future trends and potential applications
The methodology can be extended to other challenging food and botanical matrices. Emerging cleanup materials and advanced data processing algorithms, including machine learning-enhanced screening, will further expand non-targeted contaminant discovery. Integration with automated sample preparation platforms promises additional gains in throughput and reproducibility.
Conclusion
The described workflow delivers comprehensive suspect screening and accurate quantitation of hundreds of pesticides in black pepper using a single LC/Q-TOF analysis. The combination of tailored sample preparation, high resolution mass spectrometry, and unified data processing meets the stringent performance criteria required for modern food safety testing.
References
- Platel K, Srinivasan K Influence of Dietary Spices and Their Active Principles on Pancreatic Digestive Enzymes in Albino Rats Nahrung 2000 44 42–46
- Srinivasan K Antioxidant Potential of Spices and Their Active Constituents Crit Rev Food Sci Nutr 2014 54 3 352–372
- Kunnumakkara AB et al Chronic Diseases, Inflammation, and Spices How Are They Linked J Transl Med 2018 16 14
- European Commission EU Pesticide Residues Database 2022
- Guidance SANTE/11312/2021 Analytical Quality Control and Method Validation for Pesticide Residues Analysis in Food and Feed 2021
- Lee J-G et al Chemical Composition and Antioxidant Capacity of Black Pepper Pericarp Appl Biol Chem 2020 63 1
- Agilent Technologies Improving Food Safety Analysis with LC/Q-TOF LC & GC 2020
- All Ions MS/MS Workflow Guide Agilent Technologies Pub 5991-1994EN 2013
- Pham TQ et al Simultaneous Screening and Quantification of Pesticide Residues in Red Cabbage Agilent Application Note 5994-3123EN 2021
- Zou A et al Analysis of 510 Pesticides in Black Pepper Using Captiva EMR Sequential Pass-Through Cleanup and LC/MS/MS Application Note 5994-4768EN 2022
- Yannell KE, Chen K Enhanced Food Safety Testing A Pesticide Screening Methodology Using the Agilent 6546 LC/Q-TOF and MassHunter Screener Agilent Application Note 5994-0738EN 2019
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