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Free your ICP-MS Workflow From Common Time Traps

Others | 2020 | Agilent TechnologiesInstrumentation
ICP/MS
Industries
Manufacturer
Agilent Technologies

Summary

Importance of the Topic


The efficiency of inductively coupled plasma mass spectrometry (ICP-MS) workflows is critical for analytical laboratories balancing productivity, cost, and data quality. Common “time traps”—routine tasks that consume excessive time—can bottleneck sample throughput, increase labor costs, and even compromise analytical accuracy under pressure. Addressing these challenges is essential to maintain high standards in environmental testing, pharmaceuticals, food safety, and other regulated and routine applications.

Objectives and Study Overview


This overview examines how the Agilent 7850 ICP-MS platform tackles the most significant time traps identified by users. By reviewing an online poll ranking common workflow delays, the platform’s built-in solutions for sample preparation, method development, instrument maintenance, and data review are highlighted as strategies to streamline daily operations.

Methodology and Used Instrumentation


Instrumentation:
  • Agilent 7850 ICP-MS with Ultra High Matrix Introduction (UHMI) for direct analysis of samples up to 25% total dissolved solids.
  • Helium collision cell with half-mass correction to remove polyatomic and doubly charged interferences.
  • IntelliQuant feature for rapid full-spectrum screening, element profiling, and dilution factor estimation.
  • Early Maintenance Feedback (EMF) sensors and color-coded alerts to schedule maintenance only when needed.
  • ICP Go browser-based interface for remote and mobile control of routine batches.

Main Results and Discussion


1. Poll Insights:
  • Top time traps: method development (72%), daily cleaning and tuning (65%), instrument maintenance/downtime (63%), learning new instruments (59%), and data review/rereporting (52%).
  • Less critical delays include setting up sample sequences (44%), screening samples (43%), and monitoring runs (37%).

2. Platform Solutions:
  • Prewritten methods and standard operating procedures cut weeks off method development timelines.
  • UHMI minimizes or eliminates dilution steps for high-matrix samples, reducing sample prep time.
  • Collision cell technology simplifies interference removal, improving data reliability and reducing remeasurements.
  • IntelliQuant heat-map periodic table flags unexpected elements or prep errors in seconds.
  • Automated pre- and post-run checks prevent unplanned downtime by flagging issues before and after daily operations.
  • EMF traffic-light alerts optimize maintenance schedules and prevent overlooked tasks.
  • ICP Go and embedded video guides empower users to perform routine tasks more efficiently.

Benefits and Practical Applications


By integrating these features, laboratories can:
  • Accelerate sample throughput and reduce labor costs.
  • Improve data quality and consistency across runs.
  • Minimize downtime and maintenance overhead.
  • Lower risk of operator errors in sample prep and data handling.
  • Enhance user confidence through built-in quality checks and intuitive interfaces.

Future Trends and Potential Applications


Emerging trends in ICP-MS workflows include tighter integration of AI-driven diagnostics, expanded remote operation, and greater reliance on real-time data analytics. Advancements in collision cell chemistry and enhanced matrix tolerance will further reduce prep steps. Adoption of cloud-based LIMS integration and predictive maintenance algorithms promises even more seamless, 24/7 operation in high-throughput and regulated laboratory environments.

Conclusion


The Agilent 7850 ICP-MS addresses the predominant time traps of ICP-MS workflows by combining robust hardware, smart software tools, and proactive maintenance alerts. These innovations collectively enhance productivity, reliability, and ease of use, enabling laboratories to focus resources on high-value analytical tasks rather than routine downtime and troubleshooting.

References


  • Agilent online poll on common ICP-MS time traps, September 2020.

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

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