质量保证和质量控制流程:代谢学社区问卷调查的摘要
Warwick B Dunn1, David I Broadhurst2, Arthur Edison3
1School of Biosciences and Phenome Centre Birmingham, University of Birmingham, Birmingham, B15 2TT, UK.
Metabolomics : Official journal of the Metabolomic Society
|November 28, 2024
概括
代谢学会数据质量工作组调查了质量保证 (QA) 和质量控制 (QC) 实践,发现代谢学研究中的标准程序和材料存在显著的变化和有限的使用.
科学领域:
- 代谢学 代谢学 代谢学
- 分析化学 分析化学
- 生物技术是生物技术.
背景情况:
- 代谢学会数据质量工作组 (DQTG) 确定需要评估全球代谢学界当前的质量保证 (QA) 和质量控制 (QC) 实践.
- 促进强大的质量保证/质量控制是提高代谢学研究数据可靠性和可复制性的长期目标.
研究的目的:
- 建立国际代谢学实验室使用的现有质量保证和质量控制方法的基线理解.
- 确定需要改进的领域,并为开发代谢学数据质量标准化指南提供信息.
主要方法:
- 由DQTG开发了一个包含70个问题的综合问卷,以收集有关QA/QC实践的信息.
- 调查问卷涵盖人口统计数据,质量保证方法和质量控制方法,允许灵活的受访者参与.
主要成果:
- 该调查收到了来自84个机构的97份来自各种代谢学领域的回答,包括NMR,LC-MS和GC-MS.
- 响应表明质量保证/质量控制的实施存在很大差异,突出了诸如培训不足,缺乏标准化操作程序 (SOP) 和有限使用标准参考材料 (SRM) 等挑战.
结论:
- 代谢学实验室的QA/QC实践不统一,需要有针对性的干预措施.
- 提出了建议,以解决QA/QC测量和报告中确定的问题,以改善现场的整体数据质量.
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