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Ultrasound-assisted surfactant-enhanced emulsification microextraction for determination of cadmium in water samples prior to analysis by flame atomic absorption spectrometry with the aid of experimental design

机译:超声辅助表面活性剂增强乳化微萃取法测定水样中的镉,然后借助实验设计通过火焰原子吸收光谱法进行分析

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Ultrasound-assisted surfactant-enhanced emulsification microextraction (UASEME) coupled with fiame atomic absorption spectrometry (FAAS) was developed for preconcentration and determination of cadmium in tap and river water. The Plackett-Burman design was applied for effective variables screening such as volume of extraction solvent and surfactant, the pH and ionic strength of sample solution, speed and time of centrifuge, concentration of ligand (dithizone) and ultrasonic time. The obtained significant factors were optimized by using a Box—Behnken design and the response surface equations were derived. Under optimum conditions, relative standard deviation (RSD, n=5) of 50 ugL~(-21) Cd~(2+) and limit of detection (LOD) were 6.5% and 0.4 ugL1 respectively. The method encompass linear response at 0.5 —94 ugL~(-1) with correlation coefficients (r ~2) 0.9923. Highlights UASEME combined with Flame atomic absorption spectroscopy was used for extraction and determination of cadmium in water samples. A multivariate strategy based on an experimental design using a Plackett-Barman design for screening and a Box—Behnken design is applied for optimization of significant factors. H value, Volume of Triton X-100, Volume of CHC13 were significant factors.Under optimum conditions, enrichment factors was 93 times. .UASEME was quantified successfully applied for analysis of cadmium in tap and river water samples.
机译:开发了超声辅助表面活性剂增强乳化微萃取(UASEME)和火焰原子吸收光谱法(FAAS),用于自来水和河水中镉的预富集和测定。 Plackett-Burman设计用于有效变量筛选,例如萃取溶剂和表面活性剂的体积,样品溶液的pH值和离子强度,离心速度和时间,配体(二硫zone)的浓度以及超声时间。使用Box-Behnken设计对获得的重要因子进行了优化,并推导了响应面方程。在最佳条件下,相对标准偏差(RSD,n = 5)为50 ugL〜(-21)Cd〜(2+)和检出限(LOD)分别为6.5%和0.4 ugL1。该方法包括在0.5 -94 ugL〜(-1)处的线性响应,相关系数(r〜2)为0.9923。要点UASEME与火焰原子吸收光谱法相结合,用于水样中镉的提取和测定。基于实验设计的多变量策略(使用Plackett-Barman设计进行筛选和Box-Behnken设计)被用于优化重要因素。 H值,Tri​​ton X-100的体积,CHC13的体积是重要因素。在最佳条件下,富集因子为93倍。 UASEME已成功量化,可用于自来水和河水样品中的镉分析。

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