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确定度评定在化妆品中砷含量ICP-AES测定中的应用
引用本文:戴骐,朱晓雨,陈笑梅.确定度评定在化妆品中砷含量ICP-AES测定中的应用[J].光谱学与光谱分析,2008,28(2):441-443.
作者姓名:戴骐  朱晓雨  陈笑梅
作者单位:浙江检验检疫科学技术研究院,浙江省食品安全重点实验室,浙江 杭州 310012
基金项目:浙江省国境安全检验检疫科技创新服务平台项目
摘    要:通过对电感耦合等离子体发射光谱(ICP-AES)测定化妆品中As含量的不确定度的评定实践,建立了该分析过程的相应数学模型,对数学模型中各个参数进行不确定度来源分析,分别对A类不确定度(由测量的结果统计分布计算的不确定度)或B类不确定度(基于经验或其他信息的概率分布估计的不确定度)进行评定。按照国际通用方法对各不确定度分量合成和扩展,得到ICP-AES法测定化妆品中As含量的不确定度评定。研究结果表明:标准溶液的配制、标准曲线拟合线性方程及样品溶液的定容是不确定度的主要来源,该不确定度评定所用方法同样适用于以线性回归标准曲线法获得测定结果不确定度的评估。

关 键 词:ICP-AES法  化妆品  砷含量  不确定度  
文章编号:1000-0593(2008)02-0441-03
收稿时间:2006-09-19
修稿时间:2006-12-16

Evaluation of the Uncertainty in the Determination of Arsenic in Cosmetics by ICP-AES
DAI Qi,ZHU Xiao-yu,CHEN Xiao-mei.Evaluation of the Uncertainty in the Determination of Arsenic in Cosmetics by ICP-AES[J].Spectroscopy and Spectral Analysis,2008,28(2):441-443.
Authors:DAI Qi  ZHU Xiao-yu  CHEN Xiao-mei
Institution:Zhejiang Academy of Science and Technology for Inspection and Quarantine, Key Laboratory of Food Safety of Zhejiang Province, Hangzhou 310012, China
Abstract:A mathematic model for evaluating the uncertainty of the determination procedure for arsenic in cosmetics by ICP-AES was established.The uncertainty sources for each of the parameters in the model were analyzed.The uncertainties of type A(based on the calculation of the statistical distribution of the determination results) or type B(based on the estimation by experience and the probability distribution of other information) were evaluated.According to the international general method,the component uncertainties were synthesized and extended respectively to obtain the uncertainty evaluation.The results showed that the preparation of standard solutions,the fitted linear regression equation for the calibration curve and the volume of sample solution were the main sources of uncertainties.The proposed method was also suitable for application to the evaluation of the uncertainty of the results obtained by using the method of linear regressive standard curve.
Keywords:ICP-AES  Cosmetics  Arsenic  Uncertainty
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