Spectrophotometric determination of mixtures of iron(III) and manganese(II) by complexation with 3-indolylacetohydroxamic acid and principal component regression multivariate calibration
- 1 January 1994
- journal article
- research article
- Published by Royal Society of Chemistry (RSC) in The Analyst
- Vol. 119 (7) , 1537-1540
- https://doi.org/10.1039/an9941901537
Abstract
The use of principal component regression (PCR) for the multicomponent analysis of complex mixtures offers considerable advantages over conventional multiple linear regression in ultraviolet–visible spectrophotometry. PCR provides a sensitive and accurate technique for the analysis of complex mixtures with severely overlapping spectra. A method for the simultaneous determination of Fe3+ and Mn2+ is described based on the measurement of the absorbance of the complexes formed by both ions with 3-indolylacetohydroxamic acid. The complexes were extracted with a solution of methyltrioctylammonium chloride in toluene. The application of the PCR multivariate calibration method allowed the resolution of the overlapping of the spectra of the respective Fe3+ and Mn2+ complexes with the hydroxamic acid derivative. The method was applied satisfactorily to the determination of Fe3+ and Mn2+ in several multivitamin preparations.Keywords
This publication has 14 references indexed in Scilit:
- ChemometricsAnalytical Chemistry, 1992
- Ultraviolet and light absorption spectrometryAnalytical Chemistry, 1992
- Extract-photometric determination of iron with 2-indolehydroxamic acidAnalytical and Bioanalytical Chemistry, 1991
- Kinetic determinations and some kinetic aspects of analytical chemistryAnalytical Chemistry, 1990
- Comparison of multivariate calibration methods for quantitative spectral analysisAnalytical Chemistry, 1990
- Limitations of spectrophotometric multicomponent analysis of metal ions with mixed reagentsAnalytical Chemistry, 1989
- Partial least-squares methods for spectral analyses. 1. Relation to other quantitative calibration methods and the extraction of qualitative informationAnalytical Chemistry, 1988
- Partial least-squares methods for spectral analyses. 2. Application to simulated and glass spectral dataAnalytical Chemistry, 1988
- Principal component regression in NIR analysis: Viewpoints, background details and selection of componentsJournal of Chemometrics, 1988
- Partial Least-Squares Quantitative Analysis of Infrared Spectroscopic Data. Part I: Algorithm ImplementationApplied Spectroscopy, 1988