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Agilent Revident LC/Q-TOF system: Intelligence That Inspires Insight

Brochures and specifications | 2023 | Agilent TechnologiesInstrumentation
LC/TOF, LC/HRMS, LC/MS, LC/MS/MS
Industries
Manufacturer
Agilent Technologies

Summary

Importance of the Topic


Modern analytical chemistry demands reliable, high-resolution mass spectrometry to detect trace contaminants, support regulatory compliance, and enable retrospective data mining. The Agilent Revident LC/Q-TOF system delivers mass accuracy, isotope fidelity, and dynamic range critical for confident identification across food safety, environmental, and metabolomics applications.

Objectives and Study Overview


This whitepaper introduces the Revident LC/Q-TOF platform, showcasing its intelligent workflows, maintenance innovations, and data-driven sensitivity metrics. It aims to demonstrate how advanced instrument design and software integration accelerate throughput, reduce downtime, and maintain analytical rigor.

Methodology and Instrumentation


Key hardware features include:
  • Temperature-stabilized flight tube with inline sensors and controlled heating for superior mass accuracy.
  • Proven ion optics and modular electronics with real-time diagnostics.
  • VacShield capillary enclosure enabling rapid maintenance without full venting.
  • Pump-based calibrant delivery for automated autotune and calibration routines.

Onboard intelligence encompasses:
  • Smart Tuning: machine-learning algorithms optimize instrument parameters for rapid startup and consistent performance.
  • Smart Monitoring: continuous vital-sign tracking with early maintenance feedback.
  • Intelligent Reflex Workflows: automated reinjection logic for carryover checks, calibration range adjustments, fast screening, and iterative MS/MS confirmation.

Software components include MassHunter Acquisition for unified LC/TQ and LC/Q-TOF control, MassHunter Explorer for non-targeted feature finding and statistical analysis, and ChemVista for centralized compound and spectral library management. Partnership with SIRIUS and CSI:FingerID leverages machine learning for structural elucidation.

Main Results and Discussion


Instrument detection limit (IDL) metrics, based on statistical %RSD near detection threshold, yield realistic sensitivity assessments (e.g., sub-100 fg reserpine with ~6–10% RSD, IDL ~20 fg). Mass accuracy remains within ±1 ppm across broad abundance ranges and over hundreds of injections. Intelligent Reflex workflows demonstrate automatic sample reinjection and targeted MS/MS confirmation, reducing reruns and manual intervention.

Benefits and Practical Applications


Laboratories achieve:
  • Enhanced throughput by minimizing instrument downtime (VacShield reduces maintenance from hours to 30 minutes).
  • Greater data confidence through automated QC checks and retrospective screening capabilities.
  • Streamlined method migration between triple quadrupole and Q-TOF platforms.
  • Comprehensive food safety screening compliant with SANTE guidelines using DIA All Ions modes and co-elution scoring.
  • Non-targeted environmental contaminant discovery leveraging MassHunter Explorer and spectral libraries.
  • End-to-end metabolomics workflows combining Seahorse XF Pro for live-cell bioenergetics and LC/Q-TOF for molecular profiling.

Future Trends and Uses


Emerging directions include deeper integration of AI-based tuning and data interpretation, expanded compound databases for suspect and non-targeted screening, and hybrid workflows combining high-throughput targeted assays with untargeted discovery. Cloud-enabled data management and real-time remote instrument diagnostics will further optimize lab operations.

Conclusion


The Agilent Revident LC/Q-TOF system represents a significant evolution in LC/MS technology, uniting robust hardware, smart software, and automated workflows. It empowers analytical laboratories to meet current challenges in sensitivity, reproducibility, and compliance while adapting to future demands in food safety, environmental monitoring, and omics research.

Reference


This summary is based on Agilent Technologies product literature, Revident LC/Q-TOF system whitepaper, published December 2023.

Content was automatically generated from an orignal PDF document using AI and may contain inaccuracies.

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