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可报告结果的精密度。定量液相色谱法中样品和参比标准品制备数量与进样次数的同步优化。

Precision of the reportable result. Simultaneous optimisation of number of preparations and injections for sample and reference standard in quantitative liquid chromatography.

作者信息

Ermer J, Agut C

机构信息

Sanofi-Aventis Deutschland GmbH, Industriepark Hoechst, Bldg. D711, Room 605, D-65926 Frankfurt am Main, Germany.

Sanofi R&D, Toulouse, France.

出版信息

J Chromatogr A. 2014 Aug 1;1353:71-7. doi: 10.1016/j.chroma.2014.03.043. Epub 2014 Mar 24.

Abstract

In pharmaceutical analysis, the precision of the reportable result, i.e. the result which is to be compared to the specification limit, is relevant for the evaluation of the suitability of the analytical procedure. But also for other applications, the precision of the result is important and an optimisation often of interest. However, increasing the number of determinations (e.g. injections or preparations) will reduce only the variability (or standard error) of the corresponding precision level. Therefore, the knowledge of the individual variance contributions, obtained from reliable precision studies is important to determine on a scientific basis which format of the (reportable) result, i.e. the number of injections and sample preparations (or even series), should be used. In case of relative analytical procedures such as LC, the calibration model and format, i.e. the number of determinations of the reference standard is one of the factors (besides instrument, operator, reagents, etc.) affecting the between-series variance contribution at intermediate precision/reproducibility level. Consequently, the precision of the reportable result is only valid for the calibration format used to obtain intermediate precision/reproducibility. Instead of repeating the whole precision study to optimize the calibration format, the present paper describes a statistical approach using variability results from the original precision study.

摘要

在药物分析中,可报告结果(即与规格限度进行比较的结果)的精密度对于评估分析程序的适用性至关重要。但在其他应用中,结果的精密度也很重要,并且通常需要进行优化。然而,增加测定次数(例如进样次数或制剂数量)只会降低相应精密度水平的变异性(或标准误差)。因此,从可靠的精密度研究中获得的各个方差贡献的知识对于科学地确定应使用哪种(可报告)结果形式,即进样次数和样品制备数量(甚至系列)非常重要。对于诸如液相色谱等相对分析程序,校准模型和形式,即参考标准品的测定次数是影响中间精密度/重现性水平下系列间方差贡献的因素之一(除仪器、操作人员、试剂等之外)。因此,可报告结果的精密度仅对用于获得中间精密度/重现性的校准形式有效。本文并非重复整个精密度研究以优化校准形式,而是描述了一种利用原始精密度研究的变异性结果的统计方法。

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