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确定β受体阻滞剂的分析误差函数,作为估计回归参数的一种可能的加权方法。

Determination of analytical error function for beta-blockers as a possible weighting method for the estimation of the regression parameters.

作者信息

Modamio P, Lastra C F, Mariño E L

机构信息

Department of Pharmacy, University of Barcelona, Spain.

出版信息

J Pharm Biomed Anal. 1996 Feb;14(4):401-8. doi: 10.1016/0731-7085(95)01654-6.

Abstract

Three analytical methods have been developed and validated for the quantification of beta-blockers (celiprolol, bisoprolol and oxprenolol) using high performance liquid chromatography (HPLC) with UV detection. The methods were determined to be linear, precise and accurate (RSDs were lower than 5%), which allowed the quantitation of beta-blockers assayed at concentrations in the range 25-0.78 micrograms ml-1. After validation of reversed-phase HPLC methods, their analytical error functions were established by a rapid, simple and economical procedure. The discrimination of the best function for each active principle was performed by an appropriate polynomial statistical analysis, yielding SD (microgram ml-1) = 0.0295 + 0.0124C - 3.88 x 10(-4)C2 for celiprolol, 0.0199 + 0.011C - 1.27 x 10(-5)C3 for bisoprolol; and 0.0183 + 0.0089C - 9.68 x 10(-6)C3 for oxprenolol. These analytical error functions are an alternative to the weighting methods used in parameter estimation of beta-blockers.

摘要

已开发并验证了三种分析方法,用于使用带紫外检测的高效液相色谱法(HPLC)对β受体阻滞剂(塞利洛尔、比索洛尔和氧烯洛尔)进行定量。这些方法被确定为线性、精密且准确(相对标准偏差低于5%),这使得能够对浓度范围为25 - 0.78微克/毫升的β受体阻滞剂进行定量。在反相HPLC方法验证后,通过快速、简单且经济的程序建立了它们的分析误差函数。通过适当的多项式统计分析对每种活性成分的最佳函数进行判别,得到塞利洛尔的SD(微克/毫升)= 0.0295 + 0.0124C - 3.88×10⁻⁴C²,比索洛尔的SD(微克/毫升)= 0.0199 + 0.011C - 1.27×10⁻⁵C³;氧烯洛尔的SD(微克/毫升)= 0.0183 + 0.0089C - 9.68×10⁻⁶C³。这些分析误差函数是β受体阻滞剂参数估计中使用的加权方法的替代方法。

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