Department of Chemistry, University of Zabol, P.O. Box 98615-538, Zabol, Iran.
J Hazard Mater. 2009 Dec 15;172(1):385-9. doi: 10.1016/j.jhazmat.2009.07.025. Epub 2009 Jul 14.
This article describes the development of a procedure for zinc determination in water and biological samples after extraction by magnetic nanoparticles by inductively coupled plasma optical emission spectrometry (ICP-OES). The optimization strategy was carried out by using two level full factorial designs. Results of the two level full factorial design (2(4)) based on an analysis of variance demonstrated that only the pH, amount of extractant and amount of nanoparticles were statistically significant. Optimal conditions for three variables: pH of solution, amount of extractant (E), and amount of nanoparticles (N) for the extraction of zinc samples were obtained by using Box-Behnken design. These values were 3.8, 3.1 and 3.3 mg, for pH of solution, amount of nanoparticles and amount of extractant, respectively. Under the optimized experimental conditions, the detection limit of the proposed method followed by ICP-OES was found to be 0.8 microg L(-1). The method was applied to the determination of zinc in water and biological samples.
本文描述了一种通过磁纳米粒子萃取后，用感应耦合等离子体光学发射光谱法（ICP-OES）测定水和生物样品中锌的方法。采用二水平完全析因设计进行了优化策略。基于方差分析的二水平完全析因设计（2(4)）的结果表明，只有 pH 值、萃取剂用量和纳米粒子用量具有统计学意义。通过 Box-Behnken 设计，获得了用于锌样品萃取的三个变量（溶液 pH 值、萃取剂用量（E）和纳米粒子用量（N））的最佳条件，分别为 3.8、3.1 和 3.3mg。在优化的实验条件下，通过 ICP-OES 检测，该方法的检出限为 0.8μg L(-1)。该方法应用于水和生物样品中锌的测定。
