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采集和探索样本质量数据,为筛查样本库的管理提供信息并加以改进。

Capture and exploration of sample quality data to inform and improve the management of a screening collection.

作者信息

Charles Isabel, Sinclair Ian, Addison Daniel H

机构信息

1Discovery Sciences, AstraZeneca, Cheshire, UK.

出版信息

J Lab Autom. 2014 Apr;19(2):198-207. doi: 10.1177/2211068213499758. Epub 2013 Aug 23.

DOI:10.1177/2211068213499758
PMID:23975387
Abstract

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.

摘要

一种用于筛选样品质量数据的存储、处理和查询的新方法提高了分析通量和可信度,并增加了从积累的记录中学习的机会。该方法涉及设计、开发和实施一个面向数据库的系统,该系统从用于评估阿斯利康筛选库中样品完整性的液相色谱-质谱功能中获取信息。已开发出一个Web应用程序,用于实现分析数据的可视化和交互式注释、监控当前样品队列并报告通量率。如果关键参数达到预定阈值,则会自动对感兴趣的色谱峰进行样品纯度和身份验证。利用从化合物注册和容器库存数据库中并行提取的信息,将每个容器的色谱和光谱图谱与样品结构和存储历史相关联。搜索引擎便于直接比较相同或相似化合物的多个容器的结果、在不同时间点分析的单个容器的结果,或按其来源或工艺流程相关的容器的结果。访问这个信息网络有助于更深入地理解影响样品质量保证的多个因素。

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