LCMS
More information
WebinarsAbout usContact usTerms of use
LabRulez s.r.o. All rights reserved. Content available under a CC BY-SA 4.0 Attribution-ShareAlike

Development of a high-resolution MRM quantitative method for pesticides in apple, honey, olive oil, orange and tomato food matrices

Posters | 2024 | Shimadzu | ASMSInstrumentation
LC/MS, LC/HRMS, LC/MS/MS, LC/TOF
Industries
Food & Agriculture
Manufacturer
Shimadzu

Summary

Importance of the Topic


The reliable quantitation of trace pesticide residues in diverse food matrices is essential to protect consumer safety and comply with regulatory standards. High-resolution mass spectrometry techniques offer enhanced sensitivity and selectivity for multi-residue analysis, enabling detection at or below established maximum residue levels.

Objectives and Overview of the Study


This work aimed to develop and validate a high-resolution multiple reaction monitoring (MRM) method using an LC-QTOF instrument for quantifying over 300 pesticide residues in apple, honey, olive oil, orange, and tomato matrices. The method was benchmarked against a data-independent acquisition (DIA-MS/MS) approach to assess improvements in detection limits and selectivity.

Materials, Methods, and Instrumentation


  • Sample preparation: 317 pesticides and 10 deuterated internal standards spiked into five food commodities at 0.1–100 µg/kg, extracted via QuEChERS.
  • Chromatography: reverse-phase separation on Shim-pack Velox Biphenyl column (100×2.1 mm, 2.7 µm) at 45 °C.
  • Mass spectrometry: Shimadzu LCMS-9050 QTOF in positive ESI mode with external calibration, full MS scan (m/z 110–950) and targeted MRM transitions using optimized collision energies from a triple quadrupole database.

Used Instrumentation


  • Shimadzu LCMS-9050 high-resolution QTOF mass spectrometer
  • Shim-pack Velox Biphenyl column with guard
  • Standard QuEChERS extraction tools

Main Results and Discussion


  • High-resolution MRM mode produced up to twofold higher fragment ion intensities compared to DIA-MS/MS, achieving quantitation limits below 1 µg/kg for many targets.
  • System repeatability (%RSD ≤20%) was demonstrated for 312 pesticides at 10 µg/kg in tomato matrix (n=6).
  • Tailored collision energies and narrow mass windows (±30 mDa) enhanced reference ion signal-to-noise and selectivity.
  • In complex matrices like olive oil, MRM improved both sensitivity and selectivity over DIA with wide precursor isolation windows.

Benefits and Practical Applications


  • Compliant with EU SANTE 11312/2021 guidelines for multi-residue pesticide analysis at the default MRL of 10 µg/kg.
  • Enables laboratories to achieve lower limits of quantitation and robust trace-level detection.
  • Applicable to routine food safety QA/QC and regulatory compliance across varied commodity types.

Future Trends and Applications


Incorporating high-resolution MRM workflows can extend to other contaminants such as veterinary drugs and mycotoxins. Advances in ion mobility separation and hybrid acquisition strategies may further enhance throughput and analytical specificity.

Conclusion


The developed high-resolution MRM method on a QTOF platform demonstrated superior sensitivity and selectivity over DIA-MS/MS for over 300 pesticides across multiple food matrices. This approach satisfies regulatory requirements and supports reliable low-level residue quantitation for food safety analysis.

Content was automatically generated from an orignal PDF document using AI and may contain inaccuracies.

Downloadable PDF for viewing
 

Similar PDF

Toggle
Development of a high-resolution MRM quantitative method for pesticides in apple, honey, olive oil, orange and tomato food matrices
Development of a high-resolution MRM quantitative method for pesticides in apple, honey, olive oil, orange and tomato food matrices Alan Barnes1; Raquel Leonardo2; Emily G Armitage1; Jonathan McGeehan3; Steve Williams2; Neil Loftus1; Uwe Oppermann4 1Shimadzu Corporation, Manchester, UK; 2SGS Cambridge…
Key words
mrm, mrmion, iondia, diamode, moderesolution, resolutionreference, referencescanning, scanninghigh, highqtof, qtofacquisition, acquisitionfragment, fragmenthigher, highersignal, signaloptimized, optimizedpesticide
Targeted quantitative screening pesticides in food matrices using high resolution DIA spectral library matching
Targeted quantitative screening pesticides in food matrices using high resolution DIA spectral library matching. Alan Barnes1; Raquel Leonardo2; Emily G Armitage1; Jonathan McGeehan3; Steve Williams2; Neil J Loftus1 1Shimadzu Corporation, Manchester, UK; 2SGS Cambridge Limited, Cambridge, Cambridgeshire, UK; 3Shimadzu UK…
Key words
flag, flagcriteria, criteriareport, reportdia, diaion, ionpesticide, pesticidepesticides, pesticidestargeted, targetedsante, santereview, reviewerror, errortarget, targetmethod, methodconfirmation, confirmationmass
QuEChERS extracted pesticide quantitation by LCMS QTOF using HRAM at high data acquisition speed
PO-CON1889E QuEChERS extracted pesticide quantitation by LCMS QTOF using HRAM at high data acquisition speed ASMS 2019 Alan Barnes1; Steve Williams2; Christopher Titman1; Neil Loftus1 1 Shimadzu Corporation, Manchester, UK. 2 Concept Life Sciences, Cambridge, United Kingdom QuEChERS extracted pesticide…
Key words
hram, hramqtof, qtofion, ionpesticide, pesticidedia, dialcms, lcmsquechers, quechersextracted, extractedfluoxastrobin, fluoxastrobinquantitation, quantitationspeed, speedacquisition, acquisitionmass, massdata, dataprecursor
Using HRAM LC/QTOF for Target and Suspect Screening in Multi-Residue Pesticide Analysis
Using HRAM LC/QTOF for Target and Suspect Screening in Multi-Residue Pesticide Analysis Alan Barnes1, Steve Williams2, Chris Titman1, Neil Loftus1, Uwe Oppermann3 1Shimadzu Corporation, Manchester, UK. 2Concept Life Sciences, Cambridge, UK, 3Shimadzu Europa GmbH, Duisburg, Germany Overview ▪ Applying high…
Key words
mass, masstof, tofdia, diahram, hramqtof, qtofcovariant, covariantion, ionpesticides, pesticidesbehave, behaveprotonated, protonatedscan, scantarget, targetsuspect, suspectfall, falladduct
Other projects
GCMS
ICPMS
Follow us
More information
WebinarsAbout usContact usTerms of use
LabRulez s.r.o. All rights reserved. Content available under a CC BY-SA 4.0 Attribution-ShareAlike