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A reusable reduced graphene oxide-cobalt oxide nanocomposite with excellent yield as adsorbent for determination trace-level of brilliant green in environmental water samples

机译:一种可重复使用的石墨烯氧化物 - 氧化钴纳米复合材料,其具有优异的产率,用于测定环境水样中辉煌绿色的痕量水平

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摘要

In view of large-scale production, usage and toxic nature, the synthetic dyes are a very significant category of pollutants. This work reports the preparation and application of reduced graphene oxide/cobalt oxide (rGO/Co3O4) nanocomposite as selective and regenerable magnetite nanosorbent for the preconcentration and determination of brilliant green (BG) as a synthetic dye by UV-Vis spectrophotometry. The properties of the rGO/Co3O4 nanocomposite were characterized by UV-Vis spectrophotometry, Fourier-transform infrared spectroscopy, X-ray diffraction, field emission scanning electron microscopy, vibrating sample magnetometer and inductively coupled plasma optical emission spectrometry. Magnetic dispersive microsolid phase extraction (MD-mu SPE) as a green, simple and sensitive method has been proposed for the separation and determination of trace quantities of BG. The experimental parameters affecting the MD-mu SPE efficiency for the target analytes such as sample pH, brilliant green concentration, adsorbent dose and sonication time were investigated and optimized by central composite design coupled with desirability function approach. Under the optimized conditions, the detection limit, relative standard deviation and enrichment factor were 2.6 ng mL(-1), 3.34% (n = 5) and 24.5, respectively. Finally, the applicability of the proposed method was successfully evaluated by the determination of trace amounts of BG in fish breeding pool and tap water samples.
机译:鉴于大规模生产,使用和毒性,合成染料是一类非常重要的污染物。该作品报告了将氧化石墨烯/钴氧化物(RGO / CO3O4)纳米复合材料的制备和施加为选择性和再生磁铁矿纳米吸收性,用于通过UV-Vis分光光度法作为合成染料的光学浓缩和测定辉煌的绿色(BG)。通过UV-Vis分光光度法,傅立叶变换红外光谱,X射线衍射,场发射扫描电子显微镜,振动样品仪和电感耦合等离子体光发射光谱法表征了RGO / CO3O4纳米复合材料的性质。已经提出了磁性色散微弱相萃取(MD-MU SPE)作为绿色,简单敏感的方法,用于分离和测定痕量的BG。研究了对靶分析物的MD-MU SPE效率的实验参数,例如样品pH,辉煌的绿色浓度,吸附剂剂量和超声处理时间,并通过中央复合设计与期望功能方法进行了优化。在优化条件下,检测极限,相对标准偏差和富集因子分别为2.6ng(-1),3.34%(n = 5)和24.5。最后,通过测定鱼类育种池中的痕量BG和自来水样本来成功评估所提出的方法的适用性。

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