分析测试实验室内部质量控制中移动极差合并统计监控技术下的不确定度动态测量评估  

Evaluation of Measurement Uncertainties by the Technique of Moving Range Pooled in Statistical Dynamic Monitoring for Internal Quality Control of Analytical Laboratories

作　　者：王斗文[1] 牛兴荣[2] 张明霞[2] 陈长洋 

机构地区：[1]辽宁出入境检验检疫局,辽宁大连116001 [2]中国实验室国家认可委员会,北京100020 [3]湖北出入境检验检疫局科技处,湖北武汉430022

出　　处：《分析测试学报》2004年第5期32-37,共6页Journal of Instrumental Analysis

基　　金：国家商检局科学基金资助项目 (k9802)

摘　　要：本文采用统计质量保证技术 (SQA ,statisticalqualityassurance)对被测体系的精密度和偏离性能做过持续性的监控分析。SQA技术的采用可以连续地表现出分析测量体系的能力 ,该技术的应用能确保测试数据的有效性 ,有利于分析测量体系潜在问题的分析。在此基础上 ,本文进一步提出了平均移动极差 (MR)合并统计动态监控技术。本研究认为 ,采用该技术来进行分析测量系统的动态不确定度评估 ,其贡献量可由质控样品 (QC)和线性拟合两部分合成。这一结论的得出能最大限度合成各种变异因素的影响 ,避免相关性的复杂计算 ,有利于分析测试实验室内部质量控制过程中测量系统的不确定度评估。This paperillustrates the applicationofstatistical qualityassurance(SQA)techniques forcontinuˉous monitoring and control of the on_going stability,precision and bias performance of selected analytical measurement systems.SQA techniques can be used to demonstrate continuously the proficiency of analytiˉcal measurement systems that are used for establishing and assuring data quality,as well as for indicating potential areas for measurement system improvement.Thereupon,the technique of the average moving range(MR)pooled in statistical dynamic monitoring is proposed.By using this technique,the dynamic uncertainty contribution of an analytical measurement system comprises of uncertainties of quality control(QC)sample measurements and linear fitting.This approach pools together the effects on various variˉances to an ultimate extentwithoutcomplicated correlation computation,and favored the uncertaintyevaluaˉtion on measurement systems for internal quality control in analytical laboratories.

关 键 词：MR^-合并 统计监控 不确定度 质控样品 线性拟合 ICP-AES AD正态性统计 自相关趋势分析 

分 类 号：O657.31[理学—分析化学] O6[理学—化学]