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Graphene oxide-polyaniline nanocomposite as a potential sorbent for dispersive solid-phase extraction and determination of selected pharmaceutical and personal care products in wastewater samples using HPLC with a diode-array detector

机译:氧化石墨烯-聚苯胺纳米复合材料作为潜在的吸附剂,用于分散固相萃取和使用二极管阵列检测器的HPLC测定废水样品中的选定药物和个人护理产品

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摘要

We report the use of a graphene oxide-polyaniline nanocomposite as a novel sorbent for the dispersive solid-phase extraction of six pharmaceutical and personal care products in complex wastewater matrices. The extracted samples were analyzed using high-performance liquid chromatography with diode-array detection. Extraction parameters, such as the sorbent mass, desorption time, and desorption solvent composition and volume, were screened by full factorial design and optimized using a Box-Behnken design. The developed method was successfully applied to the determination of most of the selected pollutants in wastewater samples with acceptable recovery and precision taking into account the complexity of the analytical problem. As a result of the co-elution of some matrix constituents with two analytes (carbamazepine and diclofenac) in real samples, a multivariate curve resolution-alternating least-squares method was adopted as a tool for the accurate determination of these compounds through modeling the multivariate chromatographic data. The recoveries of the optimized procedure for the proposed analytes were in the range 74-120% for most of the samples and the calculated values of the limit of detection ranged between 0.05 and 1.8 mu g L-1.
机译:我们报告了使用氧化石墨烯-聚苯胺纳米复合材料作为新型吸附剂,用于在复杂废水基质中六种药物和个人护理产品的分散固相萃取。提取的样品使用带有二极管阵列检测的高效液相色谱仪进行分析。通过全因子设计筛选萃取参数,例如吸附剂质量,解吸时间和解吸溶剂组成和体积,并使用Box-Behnken设计进行优化。考虑到分析问题的复杂性,所开发的方法成功地用于废水样品中大多数选定污染物的测定,回收率和精密度均可接受。由于实际样品中某些基质成分与两种分析物(卡马西平和双氯芬酸)共洗脱,采用多变量曲线分辨率-交替最小二乘法作为通过对多变量建模准确测定这些化合物的工具色谱数据。对于大多数样品,所提出的分析物的最佳方法的回收率在74-120%的范围内,计算的检出限值在0.05至1.8μgL-1之间。

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