Journal
JOURNAL OF ANALYTICAL CHEMISTRY
Volume 66, Issue 4, Pages 351-362Publisher
PLEIADES PUBLISHING INC
DOI: 10.1134/S1061934811040137
Keywords
chemometrics; spectroscopy; independent component analysis
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Different algorithms of the decomposition of spectral curves are compared by the precision of identification and quantitative analysis of complex mixtures. The available conventional methods of self-modeling curve resolution (SIMPLISMA, MCR-ALS) and algorithms implementing the independent component analysis (MILCA, SNICA) are used. The results are illustrated by a series of examples of different spectral signals (UV, IR, Raman, fluorescence).
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