Agilent 7250 GC/Q-TOF SEE THE WHOLE PICTURE
Brochures and specifications | 2017 | Agilent TechnologiesInstrumentation
High-resolution gas chromatography coupled with quadrupole time-of-flight mass spectrometry (GC/Q-TOF) has become a cornerstone in analytical chemistry for confident compound identification, accurate quantification, and in-depth exploration of complex samples. The ability to capture full-spectrum, high-accuracy mass data supports applications in food safety, environmental monitoring, pharmaceutical research, and life science workflows, driving better decision-making and regulatory compliance.
This summary reviews the capabilities and performance of the Agilent 7250 GC/Q-TOF platform, illustrating how it addresses routine screening, advanced metabolomics, pesticide and contaminant analysis, structural elucidation, and retrospective data mining. Case examples demonstrate its versatility across complex matrices and diverse research challenges.
The Agilent 7250 GC/Q-TOF combines high-resolution accurate mass (HRAM) measurements with fast acquisition rates (up to 50 Hz), broad in-spectrum dynamic range, and optional Low Energy electron ionization (EI). These features enable:
The key components and software tools include:
Performance highlights from application studies:
The combined high resolution, broad dynamic range, and comprehensive software workflows enable laboratories to:
Emerging developments are expected to include:
The Agilent 7250 GC/Q-TOF represents a versatile, high-performance solution for rigorous analytical demands across research, industry, and regulatory laboratories. Its combination of sensitivity, accuracy, and software-driven insights empowers users to confidently identify, quantify, and explore complex samples, setting a new standard for GC/MS analysis.
GC/MSD, GC/MS/MS, GC/HRMS, GC/Q-TOF
IndustriesManufacturerAgilent Technologies
Summary
Importance of the Topic
High-resolution gas chromatography coupled with quadrupole time-of-flight mass spectrometry (GC/Q-TOF) has become a cornerstone in analytical chemistry for confident compound identification, accurate quantification, and in-depth exploration of complex samples. The ability to capture full-spectrum, high-accuracy mass data supports applications in food safety, environmental monitoring, pharmaceutical research, and life science workflows, driving better decision-making and regulatory compliance.
Objectives and Study Overview
This summary reviews the capabilities and performance of the Agilent 7250 GC/Q-TOF platform, illustrating how it addresses routine screening, advanced metabolomics, pesticide and contaminant analysis, structural elucidation, and retrospective data mining. Case examples demonstrate its versatility across complex matrices and diverse research challenges.
Methodology and Workflow
The Agilent 7250 GC/Q-TOF combines high-resolution accurate mass (HRAM) measurements with fast acquisition rates (up to 50 Hz), broad in-spectrum dynamic range, and optional Low Energy electron ionization (EI). These features enable:
- Library-quality spectra with true-to-library fragmentation patterns for reliable library searches.
- Isotopic fidelity for enhanced molecular formula confirmation.
- Four orders of magnitude dynamic range, supporting trace-level detection in heavy matrices.
- MS/MS product ion spectra for structural elucidation using Molecular Structure Correlator.
- Quantitative accuracy over a wide linear range, even in complex matrices.
Used Instrumentation
The key components and software tools include:
- Agilent 7250 GC/Q-TOF with High Efficiency Source (HES) optimized for conventional 70 eV and Low Energy EI.
- Agilent MassHunter software suite: Acquisition, Qualitative Analysis, Quantitative Analysis, Unknowns Analysis, Profinder, Profiler, Pathway Architect, and Molecular Structure Correlator.
- High-resolution spectral libraries, including an 850-analyte pesticide library and support for custom entries via PCDL Manager.
Main Results and Discussion
Performance highlights from application studies:
- Trace detection of Thiamethoxam at 5 ppb in avocado, meeting SANTE/11945/2015 mass accuracy guidelines.
- Dynamic range exceeding 16 000:1 for Phosphorylethanolamine in mouse lung extract.
- Quantification of Fonofos from 0.5 to 1000 ppb in avocado with consistent response factors.
- Simplified spectra via Low Energy EI, enhancing molecular ion signals for compounds like Kynurenine and 3,5-dimethylbenzothiophene.
- Screening of 120 pesticides in various food matrices with >97 % compliance to regulatory accuracy criteria.
- Retrospective identification of dibromophenyl ether at trace levels in combustion extracts with >95 % library match.
- Metabolomic profiling of tuberculosis-infected mouse lung tissue, visualized through Volcano plots and pathway mapping.
Benefits and Practical Applications
The combined high resolution, broad dynamic range, and comprehensive software workflows enable laboratories to:
- Integrate targeted and untargeted methods in a single acquisition.
- Perform retrospective data analysis without re-acquisition.
- Reduce ambiguity through simplified spectra and powerful statistical tools.
- Meet stringent regulatory requirements in food, environmental, and pharmaceutical testing.
Future Trends and Applications
Emerging developments are expected to include:
- Integration of comprehensive two-dimensional GC (GC×GC) with HRAM detection for enhanced separations.
- Expanded use of Low Energy EI for universal soft ionization workflows.
- Advanced AI-driven spectral deconvolution and predictive identification.
- Real-time monitoring and on-site portable Q-TOF systems.
- Deeper multi-omics integration via enhanced bioinformatics platforms.
Conclusion
The Agilent 7250 GC/Q-TOF represents a versatile, high-performance solution for rigorous analytical demands across research, industry, and regulatory laboratories. Its combination of sensitivity, accuracy, and software-driven insights empowers users to confidently identify, quantify, and explore complex samples, setting a new standard for GC/MS analysis.
Content was automatically generated from an orignal PDF document using AI and may contain inaccuracies.
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