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Multivariate optimization of ultrasound-assisted extraction using Doehlert matrix for simultaneous determination of Fe and Ni in vegetable oils by high-resolution continuum source graphite furnace atomic absorption spectrometry

机译:高分辨率连续谱源石墨炉原子吸收光谱法使用多勒勒矩阵超声辅助萃取同时测定植物油中铁和镍的多变量优化

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摘要

A method for simultaneous determination of Fe (232.036 nm) and Ni (232.195 nm) in vegetable oil samples by high-resolution continuum source graphite furnace atomic absorption spectrometry (HR-CS GF AAS) after an acid extraction of the analytes is proposed. In the extraction step, hydrochloric, nitric and acetic acid solutions were tested. The optimization of the procedure was performed by applying Doehlert matrix, and multiple response was used for simultaneous evaluation of the performance of the extraction. The optimum conditions were: extraction time of 17 min, extraction temperature of 39 degrees C and sonication amplitude of 42%, employing 0.5 mol L-1 HCl as the extracting solvent. The limits of quantification were 60 and 160 ng g(-1) for Fe and Ni, respectively. The method was applied to the analysis of vegetable oil samples and the results were compared with a method employing inductively coupled plasma optical emission spectrometry (ICP OES).
机译:提出了一种高分辨连续源石墨炉原子吸收光谱法(HR-CS GF AAS)同时测定植物油中铁(232.036 nm)和镍(232.195 nm)的方法。在萃取步骤中,测试了盐酸,硝酸和乙酸溶液。通过应用Doehlert矩阵对程序进行优化,并将多重响应用于同时评估提取性能。最佳条件为:萃取时间为17分钟,萃取温度为39℃,超声振幅为42%,采用0.5 mol L-1 HCl作为萃取溶剂。 Fe和Ni的定量限分别为60和160 ng g(-1)。该方法用于植物油样品的分析,并将结果与​​采用电感耦合等离子体发射光谱法(ICP OES)的方法进行比较。

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