Spectrophotometric simultaneous determination of manganese(II) and iron(II) in pharmaceutical by orthogonal signal correction-partial least squares

被引:17
|
作者
Goodarzi, Mohammad [1 ]
Goodarzi, Tahmine
Ghasemi, Nahid
机构
[1] Azad Univ Arak, Dept Chem, Fac Sci, Arak, Iran
[2] Azad Univ Arak, Yong Res Club, Arak, Iran
关键词
PRINCIPAL COMPONENT REGRESSION; NEAR-INFRARED SPECTRA; MULTIVARIATE REGRESSION; CALIBRATION METHODS; MICELLAR MEDIA; BASIS-SETS; PLS; NICKEL; COBALT; COPPER;
D O I
10.1002/adic.200790016
中图分类号
O65 [分析化学];
学科分类号
070302 ; 081704 ;
摘要
The simultaneous determination of manganese(II) and iron(II) mixtures by using spectrophotometric methods is a difficult problem in analytical chemistry, due to spectral interferences. By multivariate calibration methods, such as partial least squares (PLS), it is possible to obtain a model adjusted to the concentration values of the mixtures used in the calibration range. Orthogonal signal correction (OSC) is a preprocessing technique used to remove the information unrelated to the target variables based on constrained principal component analysis. OSC is a suitable preprocessing method for partial least squares calibration of mixtures without loss of prediction capacity using spectrophotometric method. In this study, the calibration model is based on absorption spectra in the 450-600 nm range for 21 different mixtures of manganese(II) and iron(II). Calibration matrices were containing 0.05-1.2 and 0.1-2.3 mu g mL(-1) Mn(II) and Fc(II), respectively. The RMSEP for manganese(II) and iron(II) with OSC and without OSC were 0.0316, 0.0291, and 0.0907, 0.115, respectively. This procedure allows the simultaneous determination of manganese(II) and iron(II) in synthetic and real matrix samples with good reliability of the determination.
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页码:303 / 312
页数:10
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