Agilent InfinityLab LC/MSD Series - EXTEND THE BOUNDARIES OF YOUR ANALYSIS
Brochures and specifications | 2017 | Agilent TechnologiesInstrumentation
The combination of high-performance liquid chromatography with mass selective detection addresses critical needs in analytical chemistry by delivering enhanced sensitivity, selectivity, and confidence in compound identification. Applications span pharmaceutical and biopharmaceutical development, environmental monitoring, food safety, and quality control laboratories, where accurate molecular weight confirmation and trace-level quantification are essential.
This summary reviews the Agilent InfinityLab LC/MSD Series, detailing its design objectives of seamless integration, reliable performance, and user-friendly operation. Key aims include rapid compound screening, accurate quantitation, impurity profiling, and scalable purification from research to routine analysis, all supported by robust data integrity controls.
The InfinityLab LC/MSD Series couples an efficient LC separation module with a mass selective detector (MSD) and optional UV diode array detector (DAD). Integrated software platforms enable method creation, data acquisition, and result processing:
Performance evaluations demonstrate the system’s ability to detect analytes down to low picogram levels, clearly resolve co-eluting species using extracted ion chromatograms, and characterize unknowns with sub-ppm mass accuracy. Key findings include:
The InfinityLab LC/MSD platform delivers:
Emerging developments are expected to focus on higher-throughput automation, incorporation of high-resolution mass spectrometry, real-time process monitoring, and AI-driven data analysis. Advances in column chemistry and multidimensional separations will further enhance resolution of complex samples, while cloud-based platforms may streamline data sharing and collaboration.
The Agilent InfinityLab LC/MSD Series represents a comprehensive solution for laboratories requiring robust, sensitive, and compliant LC/MS analysis. Its modular design, integrated software ecosystem, and proven performance provide a strong foundation for current analytical challenges and future innovations.
LC/MS, LC/SQ
IndustriesManufacturerAgilent Technologies
Summary
Significance of the Topic
The combination of high-performance liquid chromatography with mass selective detection addresses critical needs in analytical chemistry by delivering enhanced sensitivity, selectivity, and confidence in compound identification. Applications span pharmaceutical and biopharmaceutical development, environmental monitoring, food safety, and quality control laboratories, where accurate molecular weight confirmation and trace-level quantification are essential.
Goals and Overview
This summary reviews the Agilent InfinityLab LC/MSD Series, detailing its design objectives of seamless integration, reliable performance, and user-friendly operation. Key aims include rapid compound screening, accurate quantitation, impurity profiling, and scalable purification from research to routine analysis, all supported by robust data integrity controls.
Methodology and Instrumentation
The InfinityLab LC/MSD Series couples an efficient LC separation module with a mass selective detector (MSD) and optional UV diode array detector (DAD). Integrated software platforms enable method creation, data acquisition, and result processing:
- OpenLAB CDS for chromatographic control, audit trails, e-signatures, and custom reporting
- MassHunter Walkup for simplified front-end access by non-experts
- MassWorks for enhanced mass and spectral accuracy through calibration technology
- 2D-LC add-on software for comprehensive two-dimensional separations
Used Instrumentation
- Agilent InfinityLab LC system
- LC/MSD Mass Selective Detector
- UV DAD detector (254 nm)
- Agilent OpenLAB Chromatography Data System
- Agilent MassHunter Walkup software
- MassWorks calibration and spectral processing
- 2D-LC method development and data-analysis add-on
Main Results and Discussion
Performance evaluations demonstrate the system’s ability to detect analytes down to low picogram levels, clearly resolve co-eluting species using extracted ion chromatograms, and characterize unknowns with sub-ppm mass accuracy. Key findings include:
- Enhanced detection sensitivity compared to UV alone, enabling reliable impurity profiling and trace quantitation in complex matrices
- Automated method upgrades and polarity switching for flexible workflow adaptation
- Robust data security and integrity through protected records and integrated e-signatures
- Scalable purification workflows with mass-triggered fraction collection for high-purity isolation
- Efficient glycan profiling and antibody characterization supported by combined TIC and targeted ion monitoring
Benefits and Practical Applications
The InfinityLab LC/MSD platform delivers:
- Improved laboratory productivity via intuitive software, centralized instrument management, and automation of data review tasks
- Regulatory compliance support for QA/QC labs through secure audit trails and electronic record integrity
- Versatility across industries—pharma, food, environmental, and research—enabling compound screening, identification of unknowns, and quantification
- Compatibility with existing Agilent workflows and consumables, reducing total cost of ownership
Future Trends and Opportunities
Emerging developments are expected to focus on higher-throughput automation, incorporation of high-resolution mass spectrometry, real-time process monitoring, and AI-driven data analysis. Advances in column chemistry and multidimensional separations will further enhance resolution of complex samples, while cloud-based platforms may streamline data sharing and collaboration.
Conclusion
The Agilent InfinityLab LC/MSD Series represents a comprehensive solution for laboratories requiring robust, sensitive, and compliant LC/MS analysis. Its modular design, integrated software ecosystem, and proven performance provide a strong foundation for current analytical challenges and future innovations.
Content was automatically generated from an orignal PDF document using AI and may contain inaccuracies.
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