Using High Dynamic Range (HDR) in Empower Environment
Technical notes | 2017 | Agilent TechnologiesInstrumentation
High Dynamic Range (HDR) detection enhances the capability of diode array detectors by expanding their measurable concentration range. This is critical in applications where samples contain compounds at vastly different abundances, enabling accurate quantitation of trace levels alongside major components in a single chromatographic run.
This technical note describes the integration of Agilent’s HDR option—implemented via two DAD modules—into a Waters Empower 3 data system. Key goals include verifying supported software/firmware combinations, guiding hardware cluster setup, and detailing the Empower preconfiguration and method setup steps to enable HDR in routine analysis.
The HDR configuration was achieved using:
The detectors share a common subnet and require fixed IP addresses. A delay volume (typically 11 µL) between the two flow cells is introduced via a capillary kit. HDR clustering is configured in the Agilent PreConfiguration Utility—either locally on the LAC/E box or remotely via Empower’s Configuration Manager—followed by Empower chromatographic system setup and method parameter assignment.
Once configured, the HDR cluster appears as a single detector channel in Empower. During acquisition, the software automatically merges signals from the long- and short-path flow cells, yielding a combined chromatogram with enhanced dynamic range. Users can also view individual detector outputs if desired. The system supports smooth switching between HDR cluster mode and traditional single-DAD operation through a new autoconfiguration (de-clustering) step.
Implementing HDR delivers:
These advantages are especially valuable in pharmaceutical QA/QC, biochemical profiling, environmental screening, and any workflow requiring both high- and low-level analyte determination.
Future developments may include HDR adaptation for mass spectrometry detectors, automated software routines for dynamic cluster reconfiguration, and integration with laboratory information management systems (LIMS) for streamlined compliance and data management. Expanding HDR to other detection modalities could further widen analytical capabilities.
Integrating Agilent HDR in a Waters Empower environment offers a robust solution to extend detector dynamic range, simplify workflows, and improve data quality across demanding analytical applications. The outlined setup and configuration steps ensure reliable operation and seamless user experience.
Software, HPLC
IndustriesPharma & Biopharma
ManufacturerAgilent Technologies
Summary
Significance of Topic
High Dynamic Range (HDR) detection enhances the capability of diode array detectors by expanding their measurable concentration range. This is critical in applications where samples contain compounds at vastly different abundances, enabling accurate quantitation of trace levels alongside major components in a single chromatographic run.
Study Objectives and Overview
This technical note describes the integration of Agilent’s HDR option—implemented via two DAD modules—into a Waters Empower 3 data system. Key goals include verifying supported software/firmware combinations, guiding hardware cluster setup, and detailing the Empower preconfiguration and method setup steps to enable HDR in routine analysis.
Methodology and Instrumentation
The HDR configuration was achieved using:
- Two Agilent diode array detectors (G4212A/B or G7117A/B) with distinct flow cells (60 mm and 3.7 mm).
- HDR-DAD USB licensing dongle (G2199AA solution kit) to activate the HDR feature on one detector.
- Agilent Instrument Control Framework (ICF) drivers integrated into Waters Instrument Control Software (ICS).
- Waters Empower 3 with PreConfiguration Utility and Configuration Manager.
The detectors share a common subnet and require fixed IP addresses. A delay volume (typically 11 µL) between the two flow cells is introduced via a capillary kit. HDR clustering is configured in the Agilent PreConfiguration Utility—either locally on the LAC/E box or remotely via Empower’s Configuration Manager—followed by Empower chromatographic system setup and method parameter assignment.
Main Results and Discussion
Once configured, the HDR cluster appears as a single detector channel in Empower. During acquisition, the software automatically merges signals from the long- and short-path flow cells, yielding a combined chromatogram with enhanced dynamic range. Users can also view individual detector outputs if desired. The system supports smooth switching between HDR cluster mode and traditional single-DAD operation through a new autoconfiguration (de-clustering) step.
Benefits and Practical Applications
Implementing HDR delivers:
- Accurate quantification across a wide dynamic range without changing injection volume or method.
- Reduction in sample preparation steps for trace analytes in presence of major components.
- Minimized risk of detector saturation and baseline noise.
These advantages are especially valuable in pharmaceutical QA/QC, biochemical profiling, environmental screening, and any workflow requiring both high- and low-level analyte determination.
Future Trends and Potential Applications
Future developments may include HDR adaptation for mass spectrometry detectors, automated software routines for dynamic cluster reconfiguration, and integration with laboratory information management systems (LIMS) for streamlined compliance and data management. Expanding HDR to other detection modalities could further widen analytical capabilities.
Conclusion
Integrating Agilent HDR in a Waters Empower environment offers a robust solution to extend detector dynamic range, simplify workflows, and improve data quality across demanding analytical applications. The outlined setup and configuration steps ensure reliable operation and seamless user experience.
References
- Agilent Technologies. HDR User Manual (Part No. G2199-90001), 2017.
- Waters Corporation. Using the Agilent PreConfiguration Utility with Agilent ICF Support Version 2.2, Document TECN134936402.
Content was automatically generated from an orignal PDF document using AI and may contain inaccuracies.
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