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 …

Multivariate curve resolution (MCR) is a widespread methodology for the analysis of process
data in many different application fields. This article intends to propose a critical review of …

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

In this article, the extension of the Multivariate Curve Resolution Alternating Least Squares
(MCR-ALS) method to the simultaneous analysis of multiple data sets bearing information in …

This review addresses the most important results arising from the combination of multivariate
curve resolution− alternating least-squares (MCR-ALS) with both spectroscopic and …

Time-resolved electronic spectroscopy has grown into a technique that provides hundreds to
thousands of electronic spectra with femtosecond time resolution. This enables complex …

This tutorial demonstrates how to exploit the second-order advantage on excitation-emission
fluorescence matrices (EEFMs) acquired from sensing platforms based on analyte-triggered …

Abstract Time-resolved (TR) infrared (IR) spectroscopy in the nanosecond to second
timescale has been extensively used, in the last 30 years, in the study of photosynthetic …

The article investigates the method of calculating the basic parameters of random signals
emitted by hidden transmitters. The method is based on a mathematical model of differential …

The obtained results by soft modeling multivariate curve resolution methods often are not
unique and are questionable because of rotational ambiguity. It means a range of feasible …