Reducing variability in samples and standards preparation is essential for tackling 50% of out-of-specification results in QA/QC. Accurate and precise concentrations make it easier to identify the statistical significance of an analytical result and identify trends before they cause issues.
Out-of-specification (OOS) investigations in Analytical R&D and QA/QC laboratories are costly and time-consuming. Although analytical instrumentation has seen impressive innovations in speed and efficiency over the last 10 years, sample preparation techniques have remained virtually unchanged for the past 75 years. Sample preparation is now reported to be the most time-consuming, labor-intensive and error-prone part of the workflow, with some 50% of OOS errors attributed to either sample processing steps or human error. These errors could be prevented by automation.
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