Ghavami Raoof, Najafi Amir, Hemmateenejad Bahram
Department of Chemistry, Faculty of Science, University of Kurdistan, P.O. Box 416, Sanandaj, Iran.
Spectrochim Acta A Mol Biomol Spectrosc. 2008 Sep;70(4):824-34. doi: 10.1016/j.saa.2007.09.019. Epub 2007 Sep 29.
Evolutionary factor analysis (EFA) and rank annihilation factor analysis (RAFA) were applied to resolve the two-way equilibrium spectrophotometric data belonging to the complexes of Fe(III), Al(III) and V(V) with morin (3,5,7,20,40-penta hydroxy flavone) as chelating agent in triton X-100 micellar media. Then, partial least square regression combined with genetic algorithm for wavelength selection (GA-PLS) was used for simultaneous determination of the metal ions. The parameters controlling behavior of the system were investigated and optimum conditions were selected. The predictive abilities of partial least squares regression (PLS) and genetic algorithm-partial least squares regression (GA-PLS) were examined in simultaneous determination of ternary mixtures of metal ions over the concentration range of 17.0-170.0ngml(-1), 25.0-180.0ngml(-1) and 40.0-325.0ngml(-1) for Fe(III), Al(III) and V(V), respectively. The relative standard errors for prediction of the ions in synthetic mixtures were lower than 5% and the mean recoveries in the tap water spiked samples were 104.2 and 101.7% for PLS and GA-PLS, respectively.
采用进化因子分析(EFA)和秩湮灭因子分析(RAFA)解析在Triton X - 100胶束介质中,铁(III)、铝(III)和钒(V)与桑色素(3,5,7,2',4'-五羟基黄酮)形成的配合物的双向平衡分光光度数据。然后,使用结合遗传算法进行波长选择的偏最小二乘回归(GA-PLS)同时测定金属离子。研究了控制系统行为的参数并选择了最佳条件。在分别为铁(III)、铝(III)和钒(V)的17.0 - 170.0 ng ml⁻¹、25.0 - 180.0 ng ml⁻¹和40.0 - 325.0 ng ml⁻¹的浓度范围内,对偏最小二乘回归(PLS)和遗传算法 - 偏最小二乘回归(GA-PLS)在同时测定金属离子三元混合物中的预测能力进行了考察。合成混合物中离子预测的相对标准误差低于5%,加标自来水样品中PLS和GA-PLS的平均回收率分别为104.2%和101.7%。