实验室能力验证的发展

实验室能力验证对于判定实验室的检测能力非常重要。回顾了国际实验室能力验证的起源和发展,重点分析了我国能力验证的发展历程和成就,探讨了我国实验室能力验证中存在的问题和有争议的技术要点。     

Bootstrap方法在能力验证统计分析中的应用北大核心CSCD

由于经济全球化和高科技迅猛发展的需要,我国许多实验室已通过了中国合格评定国家认可委员会（CNAS）的认可,还有许多实验室正在准备认可。在实验室认可活动中利用实验室间比对的能力验证活动是一项非常重要的内容,它受到国际实验室认可合作组织及世界各国实验室认可组织的高度重视。能力验证是利用实验室间的比对来判定实验室和检查机构能力的活动[1-2],     

茶叶中甲氰菊酯测定能力验证中结果评价方式的选择

实施茶叶中甲氰菊酯测定能力验证计划,对不同的结果评价方式进行对比。制备含甲氰菊酯的茶叶样品,经均匀性和稳定性考察合格后用于能力验证。以专家实验室结果平均值作为指定值,由再现性标准差和重复性标准差求计算出能力评定标准差,评价参加者能力。用稳健算法、经验模型法确定统计评价量,与本法测定结果进行比对。结果显示,5家专家实验室提供了呈现正态分布且等精度的结果,评价结果的满意率为88.7%。与其它评定方式相比,本法给出的满意结果区间较为严格,能够反映检验机构应达到的检测水平。     

鸡蛋中氟虫腈砜能力验证样品单元内与单元间均匀性评价案例与模型分析

对鸡蛋中氟虫腈砜能力验证样品进行单元内均匀性和单元间均匀性评价。对能力验证涉及的检测方法进行方法学考察,按照预设的模型,在单元内和单元间取样检测。使用单元内子样结果均方差和方法重复性均方差构建单因素方差分析模型,完成了单元内均匀性评价。对单元间和单元内均匀性评价的方差分析模型中组间和组内方差的来源及代表性进行了讨论。结果表明鸡蛋中氟虫腈砜样品的单元内均匀性和单元间均匀性满足要求。开展单元内均匀性评价有利于掌握能力验证方法性能,确认检测最小取样量,识别不均匀性来源,增加单元间均匀性评价的可靠性。建立的单元内均匀性评价模型克服了标准模型中多次转化测量数据难以获得的问题,可在各类能力验证项目中推广应用。     

北京中实国金国际实验室能力验证研究有限公司

<正>北京中实国金国际实验室能力验证研究有限公司成立于2002年,是专业从事国际实验室能力验证、测量审核服务的研究中心。中实国金于2004年1月首次通过中国合格评定国家认可委员会的认可(No.CNAS PT0002),是国内具有能力验证提供者资格的第三方独立法人机构。     

水杨酸片溶出度测定测量审核结果分析与常见问题探讨

通过对2015—2020年开展的水杨酸片溶出度测定测量审核工作的回顾和梳理,阐述了水杨酸片溶出度测量审核工作的实施模式,分析了可能影响溶出度测定结果的因素,并就参与实验室存在的问题和相关的改进措施进行了探讨。水杨酸片溶出度测定测量审核是相关实验室提升溶出度测定检测能力的一种有效方法,在加强组织方质量管理体系的改进和建设方面也有积极的促进作用。     

置信椭圆在能力验证中的应用

能力验证是判断和监控检测/校准实验室能力的有效手段,同时也是评价实验室技术能力的重要依据之一。为更好地考核实验室技术能力,能力验证样品通常设计成分割水平样品,即组织者为每个参加能力验证的实验室提供两份目标值水平略有差     

氧指数检测能力验证结果分析

为了解氧指数检测实验室的能力水平,中国合格评定国家认可委员会(CNAS)开展了"塑料燃烧性能试验(氧指数法)"能力验证计划。通过对氧指数能力验证计划的结果进行统计分析,评价了氧指数检测实验室的整体水平,指出了氧指数检测实验室普遍存在的几类问题并提出了相应的建议。     

2011年宝山钢铁股份有限公司开展的能力验证项目计划

<正>宝山钢铁股份有限公司分析测试研究中心是最早获得中国合格评定国家认可委员会(简称CNAS)认可的能力验证计划提供者之一(认可代码:No.P003),获准认可的能力范围包括:钢铁/铁矿石/耐火材料化学成分分析、金属材料力学性能检测、金属及矿物微束分析等。根据认可规则,CNAS承认本     

实验室熟练水平测试方案简介

介绍了实验室熟练水平测试方案(LPTS)的目的,类型,以及实验室熟练水平测试的组织、基本运行程序和实施的具体步骤。     

水平测试样品的均匀性保证

为确保水平测试样品的均匀性，文中阐述了水平测试、样品制备、均匀性检验的取样数量、取样方式、最小取样量、测量方法和统计方法，重点介绍了均匀性检验的统计方法。     

橡胶拉伸强度能力验证计划和统计分析

采用稳健统计技术对全国84家实验室橡胶拉伸强度能力验证结果进行统计分析,结果显示全部满意的实验室78家,结果可疑的实验室有6家,并对实验室结果出现可疑的原因进行了分析。     

稳健统计技术及其在实验室能力验证数据处理中的应用

介绍了传统统计方法存在的问题及稳健统计技术的发展历史、稳健统计技术的属性、基本假设模型、稳健统计量及在实验室能力验证数据处理中的具体应用,提出了实验室能力验证的评价标准。     

茶叶中联苯菊酯、毒死蜱残留量的测定能力验证分析

介绍了组织全国多个行业102家实验室参加茶叶中联苯菊酯、毒死蜱残留量的测定能力验证的情况.选用自然基体测试样品,分别采用F检验和t检验法检验样本的均匀性和稳定性,采用稳健统计技术对试验结果进行了分析.时残留量测定的关键技术进行了讨论.     

Evaluation of accuracy and precision in an inter-laboratory comparison of total mercury in hair

Three round robins, involving 22 laboratories from eight countries, were conducted at six month intervals. Each of the participating laboratories analysed four samples of NIES-13 in three subsequent round robins during July 2000–October 2001. The objective of the current study was to determine accuracy and precision among participants for the analysis of total mercury. Both accuracy and precision for total mercury determinations in powder hair samples were good. The median within-laboratory (within-run) CVs ranged from 3.1 to 3.9% for four CRM samples. Most laboratories showed a proportional bias relative to the consensus mean of up to 16%. Two laboratories reported results that, on average, were almost 30% higher than the consensus mean value. Significant among-laboratory imprecision was found in the present study. Improvements are needed to reduce the analytical imprecision in a few laboratories, and attention must be focused on calibration issues and methodology-related problems.

Statistical treatment of proficiency testing data

 There are three stages to evaluating a laboratory's results in an interlaboratory proficiency test: establishing the correct result for the test item, determining an evaluation statistic for the particular result, and establishing an acceptable range. There are a wide variety of procedures for accomplishing these three stages and a correspondingly wide variety of statistical techniques in use. Currently in North America the largest number of laboratory proficiency test programs are in the clinical laboratory field, followed by programs for environmental laboratories that test drinking water and waste water. Proficiency testing in both of these fields is under the jurisdiction of the federal government and other regulatory and accreditation agencies. Many of the statistical procedures are specified in the regulations, to assure comparability of different programs and a fair evaluation of performance. In this article statistical procedures recommended in International Organization for Standardization Guide 43, Part 1, are discussed and compared with current practices in North America. Received: 22 April 1998 · Accepted: 12 May 1998     

检测实验室如何开展管理评审工作

详细论述了管理评审的基本概念、如何开展管理评审工作以及中国实验室国家认可委员会的有关政策。     

EAL interlaboratory comparison Wa1 – Testing of potable water

 The accreditation of laboratories has emphasized the use of interlaboratory comparisons as a tool to monitor the comparability and accuracy of results laboratories produce. An interlaboratory comparison for water laboratories was organized among European Cooperation for Accreditation (EA) member countries; 30 laboratories, 7 of which were not accredited, from 14 European countries participated in this intercomparison. All the laboratories were chosen by the appropriate national accreditation bodies, with the instruction to select as participants those laboratories which act as national reference laboratories in this field. About 90% of the data collected was considered satisfactory after statistical treatment. Non-accredited laboratories performed as well as accredited laboratories. The laboratories were asked to take corrective action and report the corrections to the accreditation bodies. A great variation in the reported uncertainties of the results was observed. There seems to be a need to organize EA interlaboratory comparisons for national reference laboratories analysing water. It is obvious that even reference laboratories need training in how to estimate the uncertainty of results. Received: 22 July 1998 · Accepted: 21 September 1998     

QUASIMEME results of laboratories involved in the German Marine Monitoring Programme for the North and Baltic Seas

This case study is written for laboratories in the German Marine Monitoring Program (GMMP) for the North and Baltic Seas in order to give support to the assessment of proficiency testing results for their external quality assurance. A second issue is to provide a practical, understandable and common way for the calculation of laboratory performance parameters, so-called combination scores. In this paper, the GMMP laboratory proficiency testing results of QUASIMEME (Quality Assurance of Information for Marine Environmental Monitoring in Europe) Laboratory Performance Studies for the last 5 years were reviewed. Combination scores for organochlorine pesticides and chlorinated biphenyls in marine sediment are presented and explained. However, the assessment approach is very general and should be applicable to most testing laboratories in the chemical field.Presented at the Eurachem PT Workshop September 2005, Portorož, Slovenia