Targeted quantitative screening pesticides in food matrices using high resolution DIA spectral library matching
Posters | 2024 | Shimadzu | ASMSInstrumentation
Food safety laboratories require analytical workflows that combine sensitive quantitation with comprehensive screening of pesticide residues in a single analysis. High-resolution LC-MS/MS with data-independent acquisition (DIA) addresses this need by delivering both accurate multi-residue quantitation and confirmatory library matching, in full compliance with EU SANTE 11312/2021 guidelines.
The work aimed to establish and demonstrate a generic high-resolution LC-MS/MS DIA method that:
The described high-resolution LC-MS/MS DIA method delivers a robust, versatile solution for multi-residue pesticide analysis, seamlessly merging quantitation and extensive screening in a single run. It meets stringent EU regulatory requirements, offers high identification confidence through spectral library matching, and enables scalable, retrospective extension to new targets without re-analysis.
LC/HRMS, LC/MS, LC/MS/MS, LC/TOF
IndustriesFood & Agriculture
ManufacturerShimadzu
Summary
Importance of the Topic
Food safety laboratories require analytical workflows that combine sensitive quantitation with comprehensive screening of pesticide residues in a single analysis. High-resolution LC-MS/MS with data-independent acquisition (DIA) addresses this need by delivering both accurate multi-residue quantitation and confirmatory library matching, in full compliance with EU SANTE 11312/2021 guidelines.
Objectives and Study Overview
The work aimed to establish and demonstrate a generic high-resolution LC-MS/MS DIA method that:
- Quantifies a routine multi-residue pesticide panel in complex food matrices at or below 10 µg/kg.
- Supports extended qualitative screening of additional fungicides via retrospective library searching.
- Meets EU SANTE criteria for mass accuracy (≤5 ppm or ≤1 mDa), retention time tolerance, and ion ratio confirmation.
Methodology and Instrumentation
- Sample Preparation: Standard QuEChERS extraction of spiked matrices (olive oil) with deuterated internal standards (0.1–100 µg/kg).
- Chromatography: Shimadzu Nexera LC with a Shim-pack Velox Biphenyl column (2.1 × 100 mm, 2.7 µm, 40 °C). Mobile phases of water/methanol each containing 2 mM ammonium formate and 0.004% formic acid; flow rate 0.4 mL/min; 4 µL injection with 40 µL water co-injection.
- Mass Spectrometry: High-resolution QTOF (LCMS-9050) in positive ESI mode; TOF MS full scan m/z 140–925 (100 ms); 31 DIA-MS/MS scans (29 ms each) with collision energy spread 5–55 V; isolation widths of 20 Da for m/z 140–540 and 35 Da for m/z 540–925; external mass calibration; total cycle time 1 s.
Results and Discussion
- Quantitation: Over 250 pesticides were quantified at 10 µg/kg in olive oil, complying with EU mass accuracy and ion ratio requirements.
- Library Matching: A curated MS/MS spectral library of more than 500 compounds enabled high-confidence identification based on retention time, accurate mass, isotope pattern, and fragmentation spectra.
- Extended Screening: Retrospective analysis identified additional fungicides (e.g., boscalid, fluopyram, penconazole, pyrimethanil) in grape and nectarine samples beyond the initial target panel.
Benefits and Practical Applications
- Single-method approach reduces instrument time and simplifies method development by supporting both quantitative and non-targeted screening workflows.
- Full compliance with EU SANTE 11312/2021 guidelines ensures reliable reporting and regulatory acceptance in food safety laboratories.
- Retrospective capability allows rapid incorporation of new analytes without additional sampling or reanalysis.
Future Trends and Potential Applications
- Expansion of spectral libraries to include emerging pesticides, metabolites, and degradation products.
- Integration of automated flagging, machine learning, and AI-assisted data processing to further increase throughput and reduce manual review.
- Application of the DIA workflow to other food matrices, environmental samples, and diverse regulatory frameworks beyond EU guidelines.
Conclusion
The described high-resolution LC-MS/MS DIA method delivers a robust, versatile solution for multi-residue pesticide analysis, seamlessly merging quantitation and extensive screening in a single run. It meets stringent EU regulatory requirements, offers high identification confidence through spectral library matching, and enables scalable, retrospective extension to new targets without re-analysis.
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