Independent component analysis algorithms for spectral decomposition in UV/VIS analysis of metal-containing mixtures including multimineral food supplements and platinum concentrates

摘要: Various independent component analysis (ICA) algorithms (MILCA, JADE, SIMPLISMA, RADICAL) are applied for simultaneous spectroscopic determination of two groups transition metals: Co(II)–Fe(III)–Cu(II)–Zn(II)–Ni(II) and Pt(IV)–Pd(II)–Ir(IV)–Rh(III)–Ru(III)) in complex mixtures. The is based on the decomposition spectra multicomponent mixtures UV-VIS region natural absorbance metal salts, or, when a better sensitivity desirable, their complexes with 4-(2-pyridylazo)resorcinol (PAR) ethylenediaminetetraacetic acid (EDTA). Good quality spectral resolution up to seven-component was achieved (correlation coefficients between resolved experimental not less than 0.90). In general, relative errors recovered concentrations at levels only several percent. While being superior other ICA algorithms, MILCA comparable or even outperforms classical chemometric methods quantitative that were used comparison purposes (Partial Least Squares (PLS), Principal Component Regression (PCR), Alternating (ALS)). Simultaneous possible containing five metals broad concentration ranges individual show 99% overlap. A small excess derivatization reagent (till threefold sum concentrations) optimal obtain good results. proposed method authentic samples (multimineral supplements platinum concentrates). match well labelled amounts results (ALS, PLS). considerably improves application range spectroscopy quantification