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首页> 外文期刊>Turkish journal of chemistry >Extraction-Spectrophotometric Determination of Trace Amounts of Barium and Strontium by 18-Crown-6 and Rose Bengal Using Partial Least Squares
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Extraction-Spectrophotometric Determination of Trace Amounts of Barium and Strontium by 18-Crown-6 and Rose Bengal Using Partial Least Squares

机译:偏最小二乘萃取18分光光度法和玫瑰红萃取光度法测定痕量钡和锶

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摘要

Partial least squares modeling is a powerful multivariate statistical tool applied to extraction-spectrophotometric simultaneous determination of mixtures of barium and strontium.The method is based on the formation of the ternary complexes with 18C6 and rose bengal with barium and strontium.The 18C6-Ba-RB and 18C6-Sr-RB ternary complexes are quantitatively extracted into dichloromethane and the resolution of the mixtures is accomplished by partial least squares (PLS).In this study,the calibration model is based on absorption spectra in the 500-600 nm range for 25 different mixtures of barium and strontium.Calibration matrice's ranges were 0.05-5.50 and 0.03-4.50 mu g mL~(-1) and detection limits were 0.036 and 0.017 mu g mL~(-1) for barium and strontium,respectively.A series of synthetic solutions containing different concentrations of barium and strontium was used to check the prediction ability of the PLS model.The RMSEP for barium and strontium was 0.1323 and 0.0327,respectively.The method was successfully applied to the analysis of spiked water (natural,tap and waste waters) samples.
机译:偏最小二乘建模是一种功能强大的多元统计工具,用于萃取-分光光度法同时测定钡和锶的混合物,该方法基于18C6与玫瑰红孟加拉与钡和锶的三元配合物的形成.18C6-Ba-将RB和18C6-Sr-RB三元络合物定量萃取到二氯甲烷中,并通过偏最小二乘(PLS)来实现混合物的拆分。在本研究中,校准模型基于500-600 nm范围内的吸收光谱25种钡和锶的不同混合物。校正矩阵范围为0.05-5.50和0.03-4.50μg mL〜(-1),钡和锶的检出限分别为0.036和0.017μgmL〜(-1)。用一系列含有不同浓度钡和锶的合成溶液来检验PLS模型的预测能力。钡和锶的RMSEP分别为0.1323和0.0327。该方法已成功应用于加标水(天然,自来水和废水)样品的分析。

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