Multivariate data analysis tools have become an integral part of modern analytical chemistry,
and principal component analysis (PCA) is perhaps foremost among these. PCA is central in …

Essential oils (EOs) are valuable natural products that are popular nowadays in the world
due to their effects on the health conditions of human beings and their role in preventing and …

A new variable selection method called stability competitive adaptive reweighted sampling
(SCARS) is proposed based on competitive adaptive reweighted sampling (CARS). In …

PARAFAC (parallel factor analysis) is a powerful chemometric method that has been
demonstrated as a useful deconvolution technique in dealing with data obtained using …

Whenever dealing with large amount of data as is the case of a NMR spectrum, carrying out
a variable selection before applying a multivariate technique is necessary. This work applies …

Mean field independent component analysis (MF-ICA) along with other chemometric
techniques was proposed for obtaining more information from multi-component gas …

Multivariate curve resolution based on the minimization of an objective function (MCR-FMIN)
defined directly from the non-fulfillment of constraints was applied for the first time as a …

Quality control of essential oil blends and the discovery of potential adulterations and
product fraud is a significant challenge within the natural oil and perfume industry. In this …

Gas chromatography-mass spectrometry (GC/MS) due to high sensitivity and qualifying the
volatile compounds is one of the most practical methods for the analysis of essential oils …

To optimize the parameters of electrical elements contained in an equivalent circuit for
electrochemical impedance spectroscopy, we proposed a simple, intuitive and universal tree …