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Returned COMPARE Types in GCxGC-TOFMS Data

Applications | 2008 | LECOInstrumentation
GCxGC, GC/MSD, GC/TOF
Industries
Manufacturer
LECO

Summary

Significance of COMPARE Analysis in GC×GC-TOFMS


A targeted comparative evaluation of chromatographic peaks ensures reliable quality control and targeted compound verification in complex matrices such as beer. By categorizing peaks into defined result types, analysts can rapidly identify deviations, confirm expected components, and detect unexpected substances without manual interpretation.

Objectives and Overview


This application snapshot outlines the classification scheme of LECO’s COMPARE feature for GC×GC-TOFMS data. Four result types—Match, Out of Tolerance, Unknown, and Not Found—are defined and illustrated using real beer sample data compared against a calibrated reference standard.

Methodology and Instrumentation


  • Instrumentation: LECO PS-Pegasus 4D comprehensive two-dimensional GC coupled to TOFMS.
  • Reference Material: Beer spiked at 10% level (C2_1 Beer sn50 spcal).
  • COMPARE Criteria: Retention time alignment, mass spectral similarity, quantitative area measurement and user-defined tolerance (±10%).

Main Results and Discussion


  • Match: Benzenepropanoic acid, ethyl ester met all retention time, spectral match and area tolerance criteria.
  • Out of Tolerance: 5-butyldihydro-2(3H)-furanone was correctly identified but its peak area deviated by more than ±10% from the reference.
  • Unknown: Peaks present in the sample without any corresponding reference peak are labeled Unknown; this should not occur for targeted analytes.
  • Not Found: Reference peak for methanesulfonic anhydride was absent in the beer sample, resulting in a Not Found classification.

Benefits and Practical Applications


Automating peak classification streamlines routine QA/QC workflows, reduces analysis time, and improves consistency in targeted analyses within food and beverage industries.

Future Trends and Prospects


Advancements may include adaptive tolerance settings, machine learning-enhanced spectral matching, expanded reference libraries, and cloud-based real-time data sharing to further optimize COMPARE performance.

Conclusion


LECO’s COMPARE feature delivers a robust, automated framework for classifying targeted GC×GC-TOFMS peaks. By clearly distinguishing exact matches, quantitative deviations, novel compounds, and missing analytes, laboratories gain confidence in high-throughput analyses and improved quality control.

References


  • LECO Corporation. Application Snapshot: Returned COMPARE Types in GC×GC-TOFMS Data. Form No. 209-200-087, 2008.

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