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Journal of Analytical Chemistry

, Volume 64, Issue 5, pp 479–489 | Cite as

Standardless spectral analysis of independent mixture components: Experimental case studies

  • Yu. B. Monakhova
  • S. A. Astakhov
  • S. P. Mushtakova
Articles

Abstract

We applied recently proposed methods for mixture decomposition in statistically independent components (MILCA and SNICA) to solve practical problems in analytical spectroscopy. These methods aim at reconstructing the spectra of individual mixture components and their concentrations from linear mixtures. Here, they were applied to experimental standardless qualitative and quantitative analysis in UV and visible absorption spectroscopy. However, this family of methods can be coupled with almost any sort of spectroscopic measurements. The results are presented through a series of experimental case studies, including the analysis of major ecotoxicants, polyaromatic hydrocarbons.

Keywords

Mutual Information Independent Component Analysis Independent Component Analysis Benzidine Polyaromatic Hydrocarbon 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Pleiades Publishing, Ltd. 2009

Authors and Affiliations

  • Yu. B. Monakhova
    • 1
  • S. A. Astakhov
    • 1
  • S. P. Mushtakova
    • 1
  1. 1.Department of ChemistrySaratov State UniversitySaratovRussia

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