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首页> 外文期刊>Food analytical methods >Simultaneous Determination of Trace Amounts of Cobalt and Nickel in Water and Food Samples Using a Combination of Partial Least Squares Method and Dispersive Liquid–Liquid Microextraction Based on Ionic Liquid
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Simultaneous Determination of Trace Amounts of Cobalt and Nickel in Water and Food Samples Using a Combination of Partial Least Squares Method and Dispersive Liquid–Liquid Microextraction Based on Ionic Liquid

机译:偏最小二乘结合离子液体分散液-液微萃取同时测定水和食品中痕量钴和镍

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摘要

A new, sensitive, and simple combined method including ionic liquid (IL)-based dispersive liquid–liquid microextraction and partial least squares method (PLS) was developed for simultaneous preconcentration and determination of cobalt and nickel in water and food samples. In this work, a small amount of an IL 1-hexyl-3-methylimmidazolium bis (trifluormethylsulfonyl)imid ([Hmim][Tf2N]) as an extraction solvent was dissolved in ethanol as a disperser solvent and then the binary solution was rapidly injected by a syringe into the water sample containing Co2+ and Ni2+, which were complexed by 1-(2-pyridylazo)-2-naphthol. After preconcentration, the absorbance of the extracted ions was measured in the wavelength range of 200–700 nm. The partial least squares method was then applied for simultaneous determination of each individual ion. The parameters controlling the behavior of the system were investigated and optimum conditions were selected. Eleven binary mixtures of cobalt and nickel were selectedas the calibration set. The calibration models were validated with four synthetic mixtures containing the metal ions in different proportions, which were randomly designed. The best calibration model was obtained by using PLS-1 regression. Calibration graphs were linear in the range of 2.0–20.0 and 2.0–15.0 ng mL-1 with a limit of detection of 0.65 and 0.32 ng mL-1 for cobalt and nickel, respectively. The root mean square errors of prediction for cobalt and nickel were 0.4032 and 0.2980, respectively.Satisfactory results were reported for simultaneous determination of trace levels of cobalt and nickel in water, food, and geological certified reference material samples.
机译:开发了一种新的,灵敏且简单的组合方法,包括基于离子液体(IL)的分散液-液微萃取和偏最小二乘方法(PLS),用于同时预富集和测定水和食品样品中的钴和镍。在这项工作中,将少量的作为萃取溶剂的IL 1-己基-3-甲基咪唑双(三氟甲基磺酰基)酰亚胺([Hmim] [Tf2N])溶解在乙醇中作为分散剂,然后将二元溶液快速注入用注射器将其注入含有Co2 +和Ni2 +的水样品中,然后将它们与1-(2-吡啶基偶氮)-2-萘酚络合。预浓缩后,在200–700 nm的波长范围内测量提取离子的吸光度。然后应用偏最小二乘方法同时测定每个单独的离子。研究了控制系统行为的参数,并选择了最佳条件。选择11种钴和镍的二元混合物作为校准集。用四种包含不同比例金属离子的合成混合物对校准模型进行了验证,这些混合物是随机设计的。通过使用PLS-1回归获得最佳校准模型。校准曲线在2.0–20.0和2.0–15.0 ng mL-1范围内呈线性,钴和镍的检出限分别为0.65和0.32 ng mL-1。钴和镍的预测均方根误差分别为0.4032和0.2980。对于同时测定水,食品和经地质认证的参考物质样品中痕量钴和镍的报道,结果令人满意。

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