Abstract Multivariate Curve Resolution (MCR) covers a wide span of algorithms designed to
tackle the mixture analysis problem by expressing the original data through a bilinear model …

This article is a tutorial that focuses on the main aspects to be considered when applying
Multivariate Curve Resolution to analyze multicomponent systems, particularly when the …

In the analytical environment, spectral data resulting from the analysis of samples often
represent mixtures. To extract Information about pure components often Is a major problem …

Different chromatographic and electrophoretic techniques commonly used in the
instrumental inspection of herbal medicines (HM) are first comprehensively reviewed …

A new multivariate curve resolution method is presented and tested with data of various
levels of complexity. Rotational and intensity ambiguities and the effect of selectivity on …

Nowadays, time-resolved spectroscopy data can be routinely and accurately collected in UV–
vis femtosecond transient absorption spectroscopy. However, the data analysis strategy and …

This work is mainly oriented to give an overview of the progress of multivariate curve
resolution methods in the last 5 years. Conceived as a review that combines theory and …

The limited coverage of data analysis and statistics offered in most undergraduate and
graduate analytical chemistry courses is usually focused on practical aspects of univariate …

Sir: The introduction of commercial diode array detectors in liquid chromatography has
opened a new dimension in data analysis to the analytical chemist. Classical single …

Progress in the analysis of multicomponent processes and mixtures relies on the
combination of sophisticated instrumental techniques and suitable data analysis tools …