Independent components analysis (ICA) at the "cocktail-party" in analytical chemistry

Yulia B Monakhova; Douglas N Rutledge

doi:10.1016/j.talanta.2019.120451

Independent components analysis (ICA) at the "cocktail-party" in analytical chemistry

Talanta. 2020 Feb 1:208:120451. doi: 10.1016/j.talanta.2019.120451. Epub 2019 Oct 5.

Authors

Yulia B Monakhova¹, Douglas N Rutledge²

Affiliations

¹ Spectral Service AG, Emil-Hoffmann-Straße 33, 50996, Cologne, Germany; Institute of Chemistry, Saratov State University, Astrakhanskaya Street 83, 410012, Saratov, Russia; Institute of Chemistry, Saint Petersburg State University, 13B Universitetskaya Emb., St Petersburg, 199034, Russia. Electronic address: yul-monakhova@mail.ru.
² UMR Ingénierie Procédés Aliments, AgroParisTech, INRA, Université Paris-Saclay, Massy, France; National Wine and Grape Industry Centre, Charles Sturt University, Wagga Wagga, Australia.

PMID: 31816793
DOI: 10.1016/j.talanta.2019.120451

Abstract

Independent components analysis (ICA) is a probabilistic method, whose goal is to extract underlying component signals, that are maximally independent and non-Gaussian, from mixed observed signals. Since the data acquired in many applications in analytical chemistry are mixtures of component signals, such a method is of great interest. In this article recent ICA applications for quantitative and qualitative analysis in analytical chemistry are reviewed. The following experimental techniques are covered: fluorescence, UV-VIS, NMR, vibrational spectroscopies as well as chromatographic profiles. Furthermore, we reviewed ICA as a preprocessing tool as well as existing hybrid ICA-based multivariate approaches. Finally, further research directions are proposed. Our review shows that ICA is starting to play an important role in analytical chemistry, and this will definitely increase in the future.

Keywords: Chemometrics; Chromatography; Independent components analysis; Spectroscopy.

Publication types

Review