Capture and Exploration of Sample Quality Data to Inform and Improve the Management of a Screening Collection
A new approach to the storage, processing, and interrogation of the quality data for screening samples has improved analytical throughput and confidence and enhanced the opportunities for learning from the accumulating records. The approach has entailed the design, development, and implementation of...
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Veröffentlicht in: | Journal of Laboratory Automation 2014-04, Vol.19 (2), p.198-207 |
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Format: | Artikel |
Sprache: | eng |
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Zusammenfassung: | A new approach to the storage, processing, and interrogation of the quality data for screening samples has improved analytical throughput and confidence and enhanced the opportunities for learning from the accumulating records. The approach has entailed the design, development, and implementation of a database-oriented system, capturing information from the liquid chromatography–mass spectrometry capabilities used for assessing the integrity of samples in AstraZeneca’s screening collection. A Web application has been developed to enable the visualization and interactive annotation of the analytical data, monitor the current sample queue, and report the throughput rate. Sample purity and identity are certified automatically on the chromatographic peaks of interest if predetermined thresholds are reached on key parameters. Using information extracted in parallel from the compound registration and container inventory databases, the chromatographic and spectroscopic profiles for each vessel are linked to the sample structures and storage histories. A search engine facilitates the direct comparison of results for multiple vessels of the same or similar compounds, for single vessels analyzed at different time points, or for vessels related by their origin or process flow. Access to this network of information has provided a deeper understanding of the multiple factors contributing to sample quality assurance. |
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ISSN: | 2472-6303 2211-0682 2472-6311 1540-2452 2211-0690 |
DOI: | 10.1177/2211068213499758 |