岩矿测试2012，Vol.31Issue(3)：484-488,5.
双误差回归模型在ICP-MS测定饮用水中锶的不确定度评定的简化应用
Simplification Application of Two-error Regression Model in the Uncertainty Evaluation on Inductively Coupled Plasma-Mass Spectrometric Determination of Sr in Drinking Waters
摘要
Abstract
This paper introduces the method of double-error regression in the course of standard curve fitting was introduced. The uncertainties of standard solutions and signal shift of the instrument were propagated into the final analytical results of Sr in drinking water by Inductively Coupled Plasma-Mass Spectrometry (ICP-MS) and by using a continuous propagation model. The fitting results obtained by one time and multi-time linear regression models did not reflect the true result and two different sources of uncertainty. The double-error regression model was applied to the standard work curve reported in this paper. The uncertainty calculation for the standard work curve was derived from the double-error regression equations, which built the relationship among detection limits, parameters for curve regression and associated uncertainties. The equation for total uncertainty was simplified by a continuous propagation model and calculation equations for the uncertainty components. The results indicate that the relative uncertainty of the measurement results is greater when the Sr concentration is lower. It also shows that the value of the detection limit increases and the sensitivity is reduced with the rougher processing for the preparation of a standard series. Both issues above prove that the test result matches the practical situation well.关键词
双误差回归/饮用水/锶/电感耦合等离子体质谱法/不确定度评定Key words
regression of double error/ drinking water/ Sr/ Inductively Coupled Plasma-Mass Spectrometry/ uncertainty evalution分类
数理科学引用本文复制引用
郑松,况云所,赵平..双误差回归模型在ICP-MS测定饮用水中锶的不确定度评定的简化应用[J].岩矿测试,2012,31(3):484-488,5.基金项目
贵州省地矿局地质科研资金资助项目(黔地矿科(2010)13号) （黔地矿科(2010）
