首页> 外文期刊>International journal of environmental analytical chemistry >Application of simple, fast and eco-friendly ultrasound-assisted-cloud point extraction for pre-concentration of zinc, nickel and cobalt from foods and vegetables prior to their flame atomic absorption spectrometric determinations
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Application of simple, fast and eco-friendly ultrasound-assisted-cloud point extraction for pre-concentration of zinc, nickel and cobalt from foods and vegetables prior to their flame atomic absorption spectrometric determinations

机译:应用简单,快速且环保的超声波辅助浊点萃取法对食品和蔬菜中的锌,镍和钴进行富集,然后进行火焰原子吸收光谱法测定

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In this study, a simple, fast and eco-friendly ultrasound-assisted-cloud point extraction method for extraction and pre-concentration of zinc, nickel and cobalt from vegetables and foods prior to their determination by flame atomic absorption spectrometry (FAAS) was proposed. Ultrasound energy was used to shorten extraction time and reduce steps needed or to improve selectivity. The method is based on complex formation of metal ions with carmine in presence of cationic surfactant at pH 5.0, and then extraction of their hydrophobic complexes into the micellar phase of Igepal CO-630 as extractant. After optimisation, calibration curves for Zn, Co and Ni were linear in the range of 2-120, 2-220 and 2-180 g kg(-1), respectively. Limits of detection, which is described as ratio of 3xstandard deviation of 12 replicate measurements of blank analysis to slope of calibration curves, were 0.5, 0.6 and 0.6 g kg(-1) for Zn, Ni and Co, respectively. Relative standard deviations (RSDs%, n: 5) for 25 g kg(-1) of each analyte were less than 3.1%. The recovery rate was higher than 94% with a lower RSD than 3.1% for five replicate measurements of 25 g kg(-1) of each analyte. The accuracy was verified using two different standard reference materials (SRM 1570a-Trace elements in spinach leaves and SRM 1548a-Typical diet), and the results were in good agreement with the certified values. The method was applied to the determinations of Zn, Ni and Co in vegetables and foods by FAAS.
机译:在这项研究中,提出了一种简单,快速且环保的超声波辅助浊点萃取方法,该方法可通过火焰原子吸收光谱法(FAAS)从蔬菜和食品中提取和预浓缩锌,镍和钴。 。超声能量用于缩短提取时间并减少所需步骤或提高选择性。该方法基于在pH 5.0的阳离子表面活性剂存在下金属离子与胭脂红的络合物形成,然后将其疏水络合物作为萃取剂萃取到Igepal CO-630的胶束相中。经过优化后,Zn,Co和Ni的校准曲线分别在2-120、2-220和2-180 g kg(-1)范围内呈线性关系。 Zn,Ni和Co的检出限分别为0.5、0.6和0.6 g kg(-1),被描述为空白分析12次重复测量的3x标准偏差与校准曲线斜率的比率。 25 g kg(-1)的每种分析物的相对标准偏差(RSDs%,n:5)小于3.1%。对于25 g kg(-1)的每种分析物进行五次重复测量,回收率高于94%,RSD低于3.1%。使用两种不同的标准参考材料(菠菜叶中的SRM 1570a-痕量元素和SRM 1548a-典型饮食)验证了准确性,结果与认证值高度吻合。该方法用于FAAS法测定蔬菜和食品中的Zn,Ni和Co。

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