Targeted MRM Methods Using Xevo TQ-GC: Seeing the Whole Picture with RADAR
Technical notes | 2018 | WatersInstrumentation
The reliable detection of target analytes such as pesticides in complex food matrices is critical for food safety and regulatory compliance. Matrix interferences and unmonitored compounds can lead to underreporting or missed detections, compromising both public health and analytical confidence. Integrating full-scan data with targeted multiple reaction monitoring (MRM) addresses these challenges by offering a comprehensive chemical profile in a single run.
This technology brief evaluates the performance of the Waters Xevo TQ-GC equipped with RADAR functionality. Key goals are:
The Xevo TQ-GC system operates in concurrent MRM and full-scan modes using RADAR. Targeted pesticide transitions are acquired alongside full-spectrum data. Full-scan spectra are searched against spectral libraries (e.g. NIST) to identify co-extracted matrix components and unexpected analytes.
Instrumentation:
Application of RADAR to a green tea extract revealed both targeted pesticides and significant co-extractives. Library matching facilitated identification of interfering compounds responsible for ion suppression. The ability to overlay MRM chromatograms with full-scan spectra enabled rapid troubleshooting of poor peak shapes and retention shifts. Retrospective mining of archived full-scan data uncovered emerging contaminants and pesticide metabolites previously excluded from the method.
The combined RADAR approach offers:
As regulatory demands evolve, integrating high-resolution library matching and automated data processing will become standard. Machine learning algorithms may enhance spectral deconvolution and interference correction. Broader adoption of simultaneous MRM/full-scan workflows could extend to environmental, clinical, and petrochemical analyses, enabling comprehensive profiling in a single run.
The Xevo TQ-GC with RADAR functionality delivers a powerful solution for complex sample analysis. By capturing targeted and non-targeted data concurrently, analysts can detect both known and unknown compounds, optimize sample preparation, and maintain high confidence in routine pesticide testing.
GC/MSD, GC/MS/MS, GC/QQQ
IndustriesFood & Agriculture
ManufacturerWaters
Summary
Importance of the Topic
The reliable detection of target analytes such as pesticides in complex food matrices is critical for food safety and regulatory compliance. Matrix interferences and unmonitored compounds can lead to underreporting or missed detections, compromising both public health and analytical confidence. Integrating full-scan data with targeted multiple reaction monitoring (MRM) addresses these challenges by offering a comprehensive chemical profile in a single run.
Study Objectives and Overview
This technology brief evaluates the performance of the Waters Xevo TQ-GC equipped with RADAR functionality. Key goals are:
- To simplify method development for pesticide analysis in challenging matrices.
- To detect unwanted co-extractives and novel compounds outside the original MRM scope.
- To enable retrospective data mining and method refinement based on full-scan spectra.
Methodology and Instrumentation
The Xevo TQ-GC system operates in concurrent MRM and full-scan modes using RADAR. Targeted pesticide transitions are acquired alongside full-spectrum data. Full-scan spectra are searched against spectral libraries (e.g. NIST) to identify co-extracted matrix components and unexpected analytes.
Instrumentation:
- Gas chromatograph with split/splitless injector.
- Xevo TQ-GC triple quadrupole mass spectrometer.
- RADAR data acquisition software enabling real-time full-scan and MRM collection.
Key Results and Discussion
Application of RADAR to a green tea extract revealed both targeted pesticides and significant co-extractives. Library matching facilitated identification of interfering compounds responsible for ion suppression. The ability to overlay MRM chromatograms with full-scan spectra enabled rapid troubleshooting of poor peak shapes and retention shifts. Retrospective mining of archived full-scan data uncovered emerging contaminants and pesticide metabolites previously excluded from the method.
Benefits and Practical Applications
The combined RADAR approach offers:
- Streamlined method development by visualizing all sample components in one acquisition.
- Improved quality control through ongoing monitoring of matrix interferences.
- Cost and time savings by avoiding separate full-scan experiments.
- Flexibility to expand targeted methods with newly discovered analytes.
Future Trends and Opportunities
As regulatory demands evolve, integrating high-resolution library matching and automated data processing will become standard. Machine learning algorithms may enhance spectral deconvolution and interference correction. Broader adoption of simultaneous MRM/full-scan workflows could extend to environmental, clinical, and petrochemical analyses, enabling comprehensive profiling in a single run.
Conclusion
The Xevo TQ-GC with RADAR functionality delivers a powerful solution for complex sample analysis. By capturing targeted and non-targeted data concurrently, analysts can detect both known and unknown compounds, optimize sample preparation, and maintain high confidence in routine pesticide testing.
References
- Waters Corporation. Technology Brief: Targeted MRM Methods Using Xevo TQ-GC with RADAR. September 2018.
Content was automatically generated from an orignal PDF document using AI and may contain inaccuracies.
Similar PDF
GC-MS/MS Pesticide Analysis in Green Tea in a Single Acquisition Using Xevo TQ-GC
2018|Waters|ApplicationsTechnical notes
[ TECHNICAL NOTE ] GC-MS/MS Pesticide Analysis in Green Tea in a Single Acquisition Using Xevo TQ-GC Lauren Mullin, 1 Adam Ladak,1 Jonathan Fox, 2 DeFeng Huang, 3 Jody Dunstan, 2 and Douglas Stevens1 Waters Corporation, Milford, MA, USA; 2…
Key words
mrms, mrmstea, teaxevo, xevogreen, greenmrm, mrmacquisition, acquisitionpesticide, pesticidefull, fulltechnical, technicaldisque, disquecen, cenextraction, extractiontransitions, transitionssignal, signalscan
Terpenes in Hemp and Cannabis Determined Using EI GC-MS/MS
2020|Agilent Technologies|Applications
[ APPLICATION NOTE ] Terpenes in Hemp and Cannabis Determined Using EI GC-MS/MS Douglas Stevens,1 Christopher J. Hudalla, 2 Marian Twohig,1 and Kari Organtini1 Waters Corporation, Milford, MA USA 2 ProVerde Laboratories, Milford, MA, USA 1 APPLICATION BENEFITS ■ ■…
Key words
terpenes, terpeneshemp, hempcannabis, cannabistransitions, transitionslim, limmrm, mrmcannabidiol, cannabidiollin, linterpinolene, terpinolenexevo, xevodetermined, determinedusing, usingterpenoid, terpenoidapplication, applicationmonoterpenes
INDIAN FOOD SURAKSHAA(SAFETY) APPLICATION BOOK
2015|Waters|Guides
INDIAN FOOD SURAK SHAA (SAFE T Y) APPLIC ATION BOOK USING WAT E RS ADVANC E D T EC HNOLOGIES Develop, extend, and validate new methods for a wide range of food products and ingredients INTRODUCTION The Food Safety and…
Key words
uplc, uplcacquity, acquityfood, foodveterinary, veterinarydyes, dyesresidues, residuesusing, usingvergence, vergenceresidue, residueclass, classdetection, detectiondisque, disqueanalysis, analysisradar, radarsample
Identifying Analytes Using NIST Library Searching of Xevo TQ-GC System Data
2018|Waters|Technical notes
[ TECHNOLOGY BRIEF ] Identifying Analytes Using NIST Library Searching of Xevo TQ-GC System Data Douglas Stevens, Lauren Mullin, and Adam Ladak Waters Corporation, Milford, MA, USA Identification of unknowns through library searching of EI data. GOAL To demonstrate the…
Key words
xevo, xevosearching, searchingspectra, spectracorrespondence, correspondencelibrary, librarygraph, graphunknowns, unknownsidentify, identifyability, abilityspectrum, spectrumdata, databrief, briefgood, goodsystem, systemexperiments