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A green - high throughput -extraction method based on hydrophobic natural deep eutectic solvent for the determination of emerging contaminants in water by high performance liquid chromatography - diode array detection.
Journal of Chromatography A ( IF 4.1 ) Pub Date : 2020-06-29 , DOI: 10.1016/j.chroma.2020.461377
Diogo C Morelli 1 , Gabrieli Bernardi 1 , Lucas Morés 1 , Maria E Pierri 1 , Eduardo Carasek 1
Affiliation  

This study reports the use ofa natural deep eutectic solvent (NADES) with hollow fiber-microporous membrane liquid-liquid microextraction (HF-MMLLE) for the multiclass determination of 11 compounds classified as emerging contaminantsin water. Different deep eutectic solvents were synthetized and Thymol: Camphor (1:1 molar fraction) wasused as extraction solvent. The Thymol:Camphor was impregnated into the polypropylene membrane porous for 10 min, replacing commonly used solvents (ex. hexane and octanol). The optimized parameters were obtained by multi and univariate models. Extractions were carried out for 50 min using 1.5 mL of water sample at pH 6 and without addition of salt while desorption was made in a mixture of acetone: methanol (3:1, v/v) for 15 min. Separation/quantification was conducted by HPLC with a diode array detection (DAD)and calibration curves were obtained for each analyte. Determination coefficients higher than 0.9906 and limits of detection ranged from 0.3 to 6.1 µg L−1. Intraday precision (n = 3) ranged from 1.6 to 18.4% and inter day from 5.0 to 21.3%. Relative recoveries were performed in tap and stream water and ranged from 64 to 123%.



中文翻译:

一种基于疏水性天然深共晶溶剂的绿色高通量萃取方法,用于通过高效液相色谱-二极管阵列检测法测定水中的新兴污染物。

这项研究报告了使用天然深共熔溶剂(NADES)和中空纤维-微孔膜液-液微萃取(HF-MMLLE)来多类测定水中11种被分类为新兴污染物的化合物。合成了不同的深共熔溶剂,并用百里香酚:樟脑(1:1摩尔分数)作为萃取溶剂。将百里香酚:樟脑浸渍到多孔的聚丙烯膜中10分钟,代替常用的溶剂(例如己烷和辛醇)。通过多变量和单变量模型获得优化参数。使用1.5 mL pH为6的水样品在不添加盐的情况下进行提取50分钟,同时在丙酮:甲醇(3:1,v / v)的混合物中进行15分钟的解吸。用二极管阵列检测(DAD)通过HPLC进行分离/定量,并获得每种分析物的校准曲线。测定系数高于0.9906,检出限为0.3至6.1 µg L-1。日内精确度(n  = 3)为1.6至18.4%,日间精确度为5.0至21.3%。相对回收率在自来水和流水中进行,范围从64%到123%。

更新日期:2020-07-02
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