理化方法验证统计分析软件的设计与功能
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  • 英文篇名:Design and function of statistical software for validation of analytical procedures
  • 作者:谭德讲 ; 隋思涟 ; 朱容蝶 ; 耿颖 ; 杨化新 ; 李秀记 ; 马莉
  • 英文作者:TAN De-jiang;SUI Si-lian;ZHU Rong-die;GENG Ying;YANG Hua-xin;LI Xiu-ji;MA Li;National Institutes for Food and Drug Control;Qingdao University of Technology;
  • 关键词:理化方法验证 ; 统计分析软件 ; 方法验证性能参数 ; 容忍区间 ; 方法变异度 ; 准确度 ; 精密度 ; 方法能力指数 ; 方法能力分级
  • 英文关键词:validation of analytical procedures;;statistical analysis software;;performance parameters for procedure validation;;tolerance interval;;method variability;;accuracy;;precision;;method capability index;;method capability classification
  • 中文刊名:YWFX
  • 英文刊名:Chinese Journal of Pharmaceutical Analysis
  • 机构:中国食品药品检定研究院;青岛理工大学;
  • 出版日期:2019-02-28
  • 出版单位:药物分析杂志
  • 年:2019
  • 期:v.39
  • 基金:国家“重大新药创制”科技重大专项(2015ZX09303001)
  • 语种:中文;
  • 页:YWFX201902006
  • 页数:10
  • CN:02
  • ISSN:11-2224/R
  • 分类号:41-50
摘要
理化方法验证统计分析软件"是一款专用于理化分析方法验证数据统计分析的软件,不仅可提供通用的准确度、精密度、线性、范围、检测下限和定量下限等常见方法验证性能参数,还提供包括准确度的置信区间,精密度的置信上限,方法变异的容忍区间、预测区间、方法能力指数(MCI)等评价方法是否满足需求的指标。该软件简便易用,结果输出经验证科学可靠,可以满足各国现行药典或指南对方法验证的要求。
        Statistical software for validation of analytical procedures is a software dedicated to the statistical analysis of the validation data of physical and chemical procedures. It could provide not only the common performance parameters for procedure validation,such as accuracy,precisions,linearity,range,limit of detection,and limit of quantitation,but also new parameters to evaluate whether the procedures meet their requirements,such as the confidence interval of accuracy,the upper confidence limit of precision,the tolerance interval of method variability,the predictive interval as well as method capacity index(MCI)of the procedures. The software is simple and easy to use. The output results are verified to be scientific and reliable. The software can meet all the requirements for validation of analytical procedures of current pharmacopoeia or guidelines of different countries.
引文
[1]USP 41-NF 36[S].2018:7622(<1210> Statistical Tools for Procedure Validation)
    [2]中华人民共和国药典2015年版.四部[S].2015:374(9101)ChP 2015.VolⅣ[S].2015:374(9101)
    [3]USP 41-NF 36[S].2018:7665(<1225> Validation of compendial Procedures)
    [4]ICH Q2(R1).Validation of Analytical Procedures Text and Methodology[S].2005
    [5]OMCL Network of the Council of Europe.PA/PH/OMCL(13)822R,Validation_of_analytical_procedures[S].(2015)[2018-12-9].https://www.edqm.eu/en/quality-management-guidelines-86.html