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Experimental design for the optimization of micelle mediated extraction of malachite green using anionic surfactant, sodium dodecyl sulfate

机译:阴离子表面活性剂十二烷基硫酸钠优化胶束介导的孔雀石绿提取的实验设计

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摘要

A new and simple cloud point extraction (CPE) methodology has been developed for the preconcentration and spectrophotometric determination of trace amounts of malachite green from water samples. In this method, an anionic surfactant, sodium dodecyl sulfate (SDS), was used as the extracting agent at room temperature. Central composite design (CCD) based response surface methodology (RSM) was applied for the optimization of the main experimental parameters such as pH of solutions, concentration of surfactant and concentration of salt. Under the optimum conditions the calibration graph was linear in the range of 8 x 10~(-9)-9 x 10~(-7) molL~(-1) with a detection limit of 3 x 10~(-9) mol L~(-1). The relative standard deviation for six replicates of 6 x 10~(-8) mol L~(-1) malachite green was 1.21%. The method was applied successfully to the determination of malachite green in different spiked samples including fish farming water and tap water samples.
机译:已经开发了一种新的简单的浊点提取(CPE)方法,用于对水样品中的痕量孔雀石绿进行预浓缩和分光光度法测定。在这种方法中,室温下使用阴离子表面活性剂十二烷基硫酸钠(SDS)作为萃取剂。基于中央复合设计(CCD)的响应面方法(RSM)被用于优化主要实验参数,例如溶液的pH,表面活性剂的浓度和盐的浓度。在最佳条件下,校准曲线在8 x 10〜(-9)-9 x 10〜(-7)molL〜(-1)范围内呈线性,检测极限为3 x 10〜(-9)mol L〜(-1)。六个重复的6 x 10〜(-8)mol L〜(-1)孔雀石绿的相对标准偏差为1.21%。该方法成功地用于测定加标样品中的孔雀石绿,包括鱼类养殖用水和自来水样品。

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