Data Confidence: QC Strategies for Analytical Success

RECORD | Already taken place Tu, 9.6.2026
This session explores essential QC tools and techniques, including spike recoveries, duplicate analysis, and establishing limits of detection (LOD) and quantification (LOQ).
Agilent Technologies: Atomic Spectroscopic webinars
Agilent Technologies: Atomic Spectroscopic webinars

Reliable analytical results depend on robust data validation and quality control practices. This session explores essential QC tools and techniques, including spike recoveries, duplicate analysis, and establishing limits of detection (LOD) and quantification (LOQ). We will discuss practical approaches for troubleshooting and improving confidence in your data. Whether you are new to QC or looking to refine your approach, this webinar offers actionable guidance for ensuring data integrity.

Presenter: Kristen Pisanko

Agilent Technologies
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