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首页> 外文期刊>Ultrasonics sonochemistry >Optimization of process parameters for determination of trace Hazardous dyes from industrial wastewaters based on nanostructures materials under ultrasound energy
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Optimization of process parameters for determination of trace Hazardous dyes from industrial wastewaters based on nanostructures materials under ultrasound energy

机译:基于纳米结构材料在超声能量下测定工业废水中痕量危险染料的工艺参数优化

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摘要

In this study, ultrasound -assisted dispersive solid phase micro-extraction based on nanosorbent namely silver zinc oxide nanoparticles loaded on activated carbon (Ag-ZnO-NP-AC) combined with derivative spectrophotometry method for the simultaneous pre-concentration and determination of Methyl Green (MG) and Rose Bengal (RB) dyes in water and industrial wastewater. Characterized sorbent by field emission scanning electron microscopy (FESEM), energy-dispersive X-ray spectroscopy (EDX), particle-size distribution (PSD), Fourier transform infrared spectroscopy (MR), X-ray powder diffraction (XRD) and Transmission electron microscopy (TEM) analysis with superior adsorption capacity was applied in ultrasound assisted dispersive-solid-phase micro-extraction (UA-DSPME) methodology. pH, sorbent mass, ultrasonication time, and eluent volume influence and contribution on response correspond to simultaneous pre-concentration and determination of MG and RB were optimized by response surface methodology (RSM) and results were compared with the experimental values. Under the optimal conditions (UA-DSPME), the enrichment factors (EFs) were 93.89 and 97.33 for the MG and RB dyes, respectively. The limits of detection were 2.14 and 2.73 ng mL(-1) and the limit of quantification were 7.15 and 9.09 ng mL(-1) for MG and RB, respectively. The analytes can be determined over 10-2000 ng mL(-1) with recoveries between 90.8% to 97.7% and RSDs less than 3.6%. The developed method due to simplicity and rapidity is able successful for repeatable and accurate monitoring of under study analytes from complicated matrices.
机译:在该研究中,基于纳米吸附剂的超声波分散固相微萃取,即负载在活性炭(Ag-ZnO-NP-AC)上的银氧化锌纳米颗粒,与衍生分光光度法相结合,用于同时预浓缩和测定甲基绿色(Mg)和玫瑰孟加拉(RB)染料在水和工业废水中。通过现场发射扫描电子显微镜(FESEM),能量分散X射线光谱(EDX),粒度分布(PSD),傅里叶变换红外光谱(MR),X射线粉末衍射(XRD)和透射电子的吸附剂显微镜(TEM)分析具有卓越的吸附能力,应用于超声辅助分散 - 固相微萃取(UA-DSPME)方法。 pH,吸附剂质量,超声时间和洗脱体积影响和对应于响应的贡献对应于同时预浓度和Mg和Rb的测定通过响应表面方法(RSM)和结果进行了优化,并与实验值进行了比较。在最佳条件下(UA-DSPME),分别为MG和RB染料的富集因子(EFS)为93.89和97.33。检测限为2.14和2.73ng ml(-1),分别为Mg和Rb的定量限为7.15和9.09ng ml(-1)。分析物可以在10-2000ng(-1)上以超过10-2000ng(-1),回收率为90.8%至97.7%,RSDS小于3.6%。由于简单性和快速性的开发方法能够成功,可重复和准确地监测来自复杂矩阵的研究分析。

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