首页> 外文期刊>Microchemical Journal: Devoted to the Application of Microtechniques in all Branches of Science >Accurate and sensitive determination of harmful aromatic amine products of azo dyes in wastewater and textile samples by GC-MS after multivariate optimization of binary solvent dispersive liquid-liquid microextraction
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Accurate and sensitive determination of harmful aromatic amine products of azo dyes in wastewater and textile samples by GC-MS after multivariate optimization of binary solvent dispersive liquid-liquid microextraction

机译:在二元溶剂分散液 - 液 - 微萃取多元溶剂分散液 - 液体微萃取后GC-MS在废水和纺织品中的偶氮染料中偶氮染料的有害芳香族胺产物的准确和敏感的测定

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摘要

In this study, eight hazardous aromatic amine products of azo dyes were simultaneously determined by GC-MS in wastewater and textile samples after preconcentration with an accurate and sensitive binary solvent dispersive liquid-liquid microextraction method. A univariate optimization procedure was used to determine the most influential experimental parameters and a multivariate optimization was used to determine optimum amounts of each parameter. A model developed from experimented results was used to ascertain the effects of main parameters and their interaction effects with each other. The optimum parameters obtained from the model were chloroform (100 mu L), 1,2-dichloroethane (100 mu L), ethanol (2.0 mL) and vortex (15 s). The limits of detection (LOD) and quantification (LOQ) of the analytes determined under optimum conditions ranged between 0.16-1.4 mu g/L and 0.53-4.6 mu g/L, respectively. The calibration plots of the analytes were linear (R-2 0.9991) over a broad range and the %RSDs were below 10%. The method was applied to wastewater and textile samples as a test of the method's applicability and accuracy. The percent recovery obtained for wastewater by the standard calibration method was appreciable (85-109%), but procedural matrix matching was used to improve the percent recovery for the textile sample (85-103%).
机译:在该研究中,在预浓缩后的废水和纺织样品中,具有精确敏感的二元溶剂分散液微萃取方法,通过GC-MS在废水和纺织样品中同时测定偶氮染料的八种危险芳香族胺产物。使用单变量优化程序来确定最有影响力的实验参数,并且使用多元优化来确定每个参数的最佳量。从实验结果开发的模型用于确定主要参数的影响及其相互作用效果。从模型获得的最佳参数是氯仿(100μl),1,2-二氯乙烷(100μl),乙醇(2.0mL)和涡旋(15s)。在最佳条件下测定的分析物的检测限(LOD)和定量(LOQ)分别在0.16-1.4μg/ L和0.53-4.6μg/ L之间。分析物的校准图在宽范围内线性(R-2和0.9991),%RSD低于10%。将该方法应用于废水和纺织品样本,作为该方法的适用性和准确性的测试。通过标准校准方法对废水的废水百分比可观(85-109%),但程序基质匹配用于改善纺织品样品的百分比(85-103%)。

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