Your Path to Success - Agilent Solutions for Metabolomics
Brochures and specifications | 2019 | Agilent TechnologiesInstrumentation
Metabolomics delivers a comprehensive view of small-molecule profiles in biological systems, revealing functional changes that closely align with phenotype. By integrating qualitative and quantitative analyses, it provides critical insights for biomarker discovery, drug development, crop improvement, food quality assurance, environmental monitoring, biofuel production, and systems toxicology.
This article outlines Agilent’s end-to-end solutions for metabolomics research. It describes workflows for both discovery and targeted studies, highlights innovations in sample preparation, details a broad instrument portfolio, and presents advanced informatics tools. The aim is to guide researchers toward reliable, high-throughput metabolic profiling and dynamic flux analysis.
Agilent’s integrated workflow enhances reproducibility and data quality. Automated sample processing reduces operator variability and maintains metabolite integrity. Feature extraction and alignment software streamline processing of large datasets, while robust statistical algorithms identify differential metabolites. Pathway Architect enables interactive mapping of multi-omics data onto biological pathways. Qualitative flux analysis using stable isotopes reveals pathway dynamics that are not evident from steady-state measurements. Seahorse cell-based assays furnish complementary functional data on energy metabolism.
Key advantages include high sensitivity, broad dynamic range, accurate mass resolution, and precise quantitation. The solutions support:
Emerging directions include deeper multi-omics integration, AI-driven data interpretation, single-cell metabolomics, enhanced automation, expanded stable isotope tracing strategies, and advanced pathway modeling. These developments promise faster discovery cycles and more precise metabolic insights.
Agilent’s comprehensive suite of sample prep, high-performance instruments, and specialized informatics accelerates metabolomics research from global profiling to targeted quantitation and dynamic flux analysis. This cohesive approach empowers scientists to generate reproducible, biologically meaningful data across diverse applications.
GC/MSD, GC/MS/MS, GC/HRMS, Sample Preparation, GC/QQQ, GC/Q-TOF, LC/TOF, LC/HRMS, LC/MS, LC/MS/MS, LC/QQQ
IndustriesMetabolomics
ManufacturerAgilent Technologies
Summary
Importance of the topic
Metabolomics delivers a comprehensive view of small-molecule profiles in biological systems, revealing functional changes that closely align with phenotype. By integrating qualitative and quantitative analyses, it provides critical insights for biomarker discovery, drug development, crop improvement, food quality assurance, environmental monitoring, biofuel production, and systems toxicology.
Objectives and Overview
This article outlines Agilent’s end-to-end solutions for metabolomics research. It describes workflows for both discovery and targeted studies, highlights innovations in sample preparation, details a broad instrument portfolio, and presents advanced informatics tools. The aim is to guide researchers toward reliable, high-throughput metabolic profiling and dynamic flux analysis.
Methods and Instrumentation
- Sample preparation: metabolic quenching, protein precipitation, lipid removal using Captiva EMR-Lipid technology; automation on the Bravo Metabolomics Sample Prep Platform.
- Analytical platforms: GC/MS (5977B), LC/MS (6200 Accurate-Mass TOF, 6500 Q-TOF, 6400 triple quadrupole), SFC/MS, CE/MS.
- Software: MassHunter Profinder for feature extraction; Mass Profiler Professional with Pathway Architect for statistical and pathway analysis; METLIN PCDL and Fiehn GC/MS libraries for compound identification; VistaFlux and Omix Premium for stable isotope flux tracing.
- Live-cell bioenergetics: Seahorse XF Analyzers for real-time measurement of mitochondrial respiration and glycolysis.
Main Results and Discussion
Agilent’s integrated workflow enhances reproducibility and data quality. Automated sample processing reduces operator variability and maintains metabolite integrity. Feature extraction and alignment software streamline processing of large datasets, while robust statistical algorithms identify differential metabolites. Pathway Architect enables interactive mapping of multi-omics data onto biological pathways. Qualitative flux analysis using stable isotopes reveals pathway dynamics that are not evident from steady-state measurements. Seahorse cell-based assays furnish complementary functional data on energy metabolism.
Benefits and Practical Applications
Key advantages include high sensitivity, broad dynamic range, accurate mass resolution, and precise quantitation. The solutions support:
- Biomarker discovery in clinical and basic research.
- Crop trait optimization in agriculture.
- Food authenticity and nutritional profiling.
- Drug metabolism and toxicity screening.
- Environmental stress and pollutant assessment.
- Biofuel and fermentation process optimization.
Future Trends and Opportunities
Emerging directions include deeper multi-omics integration, AI-driven data interpretation, single-cell metabolomics, enhanced automation, expanded stable isotope tracing strategies, and advanced pathway modeling. These developments promise faster discovery cycles and more precise metabolic insights.
Conclusion
Agilent’s comprehensive suite of sample prep, high-performance instruments, and specialized informatics accelerates metabolomics research from global profiling to targeted quantitation and dynamic flux analysis. This cohesive approach empowers scientists to generate reproducible, biologically meaningful data across diverse applications.
Reference
- Agilent Technologies. Agilent Solutions for Metabolomics. Whitepaper 5991-7069EN (2019).
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