Empower - INTERACTIVE SYSTEM SUITABILITY - CUSTOM FIELDS

Presentations | 2020 | WatersInstrumentation
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Summary

Importance of the Topic


High-throughput analytical laboratories face growing demands for faster, more reliable workflows while maintaining rigorous quality standards. System suitability testing and tailored data evaluation are fundamental to ensuring chromatographic systems perform within defined criteria before sample analysis. Automating these processes reduces downtime, decision latency and transcription errors, supporting compliant and efficient operations in pharmaceutical, food and environmental testing.

Objectives and Overview


The webinar “Achieve More by Doing Less” demonstrates two Empower 3 software capabilities:
  • Interactive System Suitability – automated, real-time evaluation of system suitability criteria that can pause or stop sample sequences upon failure.
  • Custom Fields – user-defined calculations and Boolean logic integrated into processing methods to automate assay calculations, pass/fail decisions and batch release workflows.

Used Instrumentation


The examples leverage Waters Empower 3 chromatography data software, configured with standard reversed-phase separations on UPLC/HPLC systems. The demonstration uses a mixture of food analysis standards (sorbic acid, benzoic acid, acesulfame K, caffeine, aspartame) injected repeatedly to illustrate retention time tests, noise, resolution and calculation workflows.

Methodology and Instrumentation


Interactive System Suitability:
  • Define target retention times and acceptance windows (typically ±3%).
  • Configure processing method to calculate USP plate count, signal-to-noise ratio, resolution and retention-time %RSD.
  • Enable online suitability evaluation so Empower can automatically stop or continue runs based on real-time results.
Custom Fields:
  • Create Input fields for target assay values.
  • Define calculated fields for percent difference: (Target-Measured)/Measured×100.
  • Use Boolean expressions and component constants to compare results against specification limits and generate pass/fail outcomes or text-based conclusions.
  • Combine multiple Boolean fields to produce a final batch-release decision.

Main Results and Discussion


Interactive System Suitability successfully evaluated each injection in real time. When any criterion fell outside predefined limits, Empower halted the sequence automatically, preventing out-of-specification data from being collected. In Custom Fields, multi-component percent difference calculations ran automatically on each processed injection. The software flagged results as pass or fail according to component-specific thresholds, consolidating decisions into a single batch release indicator.

Benefits and Practical Applications


  • Eliminates manual intervention between system checks and sample runs, saving operator time and reagent use.
  • Prevents wasted data and unnecessary injections by stopping runs upon suitability failure.
  • Reduces transcription and calculation errors, ensuring traceability through recorded formulas.
  • Supports rapid decision making with automated pass/fail flags and batch release indicators.

Future Trends and Possibilities


Looking forward, integration of advanced analytics and machine-learning algorithms may further optimize system suitability thresholds. Cloud-based dashboards could provide real-time remote monitoring of multiple instruments. Expanding custom-field capabilities to incorporate more complex conditional logic, dynamic limits and direct LIMS interfacing will enhance automated quality management and accelerate data review workflows.

Conclusion


By configuring Empower 3 for interactive system suitability and custom-field calculations, laboratories can streamline chromatographic method validation, accelerate sample throughput and enforce consistent quality control. A one-time setup delivers lasting productivity gains, fewer errors and faster decision cycles, empowering analysts to achieve more by doing less.

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

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