Department of Chemistry, Faculty of Sciences, K. N. Toosi University of Technology, Tehran, Iran.
Environ Monit Assess. 2013 Mar;185(3):2297-305. doi: 10.1007/s10661-012-2709-7. Epub 2012 Jun 12.
Magnetic solid-phase extraction based on coated nano-magnets Fe(3)O(4) was applied for the preconcentration of four polycyclic aromatic hydrocarbons (PAHs; anthracene, phenanthrene, fluorine, and pyrene) in environmental water samples prior to simultaneous spectrophotometric determination using multivariate calibration method. Magnetic nanoparticles, carrying target metals, were easily separated from the aqueous solution by applying an external magnetic field so, no filtration or centrifugation was necessary. After elution of the adsorbed PAHs, the concentration of PAHs was determined spectrophotometrically with the aid of a new and efficient multivariate spectral analysis base on principal component analysis-projection pursuit regression, without separation of analytes. The obtained results revealed that using projection pursuit regression as a flexible modeling approach improves the predictive quality of the developed models compared with partial least squares and least squares support vector machine methods. The method was used to determine four PAHs in environmental water samples.
基于包覆纳米磁铁 Fe(3)O(4)的磁固相萃取被应用于环境水样中四种多环芳烃(蒽、菲、芴和芘)的预浓缩,然后使用多元校准方法进行同时分光光度测定。携带目标金属的磁性纳米颗粒可以通过施加外部磁场从水溶液中轻易分离,因此无需过滤或离心。吸附的多环芳烃洗脱后,借助基于主成分分析-投影寻踪回归的新型高效多元光谱分析,无需分离分析物即可分光光度法测定多环芳烃的浓度。所得结果表明,与偏最小二乘法和最小二乘支持向量机方法相比,使用投影寻踪回归作为灵活的建模方法可以提高所开发模型的预测质量。该方法用于测定环境水样中的四种多环芳烃。