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首页> 外文期刊>Food Chemistry >Centrifuge-less deep eutectic solvent based magnetic nanofluid-linked air- agitated liquid-liquid microextraction coupled with electrothermal atomic absorption spectrometry for simultaneous determination of cadmium, lead, copper, and arsenic in food samples and non-alcoholic beverages
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Centrifuge-less deep eutectic solvent based magnetic nanofluid-linked air- agitated liquid-liquid microextraction coupled with electrothermal atomic absorption spectrometry for simultaneous determination of cadmium, lead, copper, and arsenic in food samples and non-alcoholic beverages

机译:基于无离心力的深共熔溶剂的磁性纳米流体链接的气-液微萃取-电热原子吸收光谱法同时测定食品样品和非酒精饮料中的镉,铅,铜和砷

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摘要

In this research, the novel environmentally-friendly analytical method, Centrifuge-less deep eutectic solvent based magnetic nanofluid-linked air-agitated liquid-liquid microextraction (CL-DES-MNF-AALLME) coupled with ETAAS was proposed for simultaneous preconcentration of heavy metals of lead, arsenic, cadmium, and copper. In CL-DES-MNF-AALLME, the extraction solvent is novel magnetic nanofluid consists of DES based magnetic multiwall carbon nanotubes which can easily be separated from the media with no need to centrifugation. The detection limits of 4.2, 3, 3.5 and 3.6 ng L-1 were acquired for cadmium, lead, copper, and arsenic respectively. The proper closeness of enrichment factors in the range of 635-644.5 to preconcentration factor (640), confirm the quantitatively of the proposed extraction method with relative standard deviation of 2.5-3.1(%) (n= 7). The potential of the CL-DES-MNF-AALLME was considered in walnut, rice, tomato paste, spinach, orange juice, black tea, and water samples which showed high capability of the proposed method for application in the complex matrixes.
机译:在这项研究中,提出了一种新型的环保分析方法,即采用离心分离的深低共熔溶剂基磁性纳米流体连接的空气搅拌液-液微萃取(CL-DES-MNF-AALLME)和ETAAS进行同时预富集重金属铅,砷,镉和铜。在CL-DES-MNF-AALLME中,萃取溶剂是新型的磁性纳米流体,它由DES基磁性多壁碳纳米管组成,可以轻松地从介质中分离而无需离心。镉,铅,铜和砷的检出限分别为4.2、3、3.5和3.6 ng L-1。富集因子与预浓集因子(640)的适当接近程度在635-644.5之间,定量证实了所提方法的相对标准偏差为2.5-3.1(%)(n = 7)。在核桃,大米,番茄酱,菠菜,橙汁,红茶和水样品中考虑了CL-DES-MNF-AALLME的潜力,表明该方法在复杂基质中的应用具有很高的能力。

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