Last decade's advances and modern aspects of near infrared spectroscopy are critically
examined and reviewed. Innovative instrumentation, highlighted by portable and imaging …

The development of chemometrics aims to provide an effective analysis approach for data
generated by advanced analytical instruments. The success of existing analytical …

Data pre-processing is an essential part of chemometric data analysis, which aims to
remove unwanted variation (such as instrumental artifacts) and thereby focusing on the …

Preprocessing of raw near-infrared (NIR) spectra is typically required prior to multivariate
calibration since the measured spectra of complex samples are often subject to …

Quantitative prediction of crude oil properties (eg API gravity, kinematic viscosity, sulfur
content) can be conducted using multivariate calibration models. The growth and the …

In this study, a new strategy for preprocessing of near-infrared spectra, piecewise
preprocessing (PP) is proposed. Unlike routine in optimization of preprocessing methods, in …

The characterization of oils by the physicochemical properties analyses is the basis of the
industrial chain. Multivariate data analysis seeks to optimize this process through a …

In near-infrared (NIR) spectroscopy analysis of blueberry often the differences between
biological variability factors (cultivar, season, etc.) lead to variations in light propagation …

Instrumental test of black tea samples instead of human panel test is attracting massive
attention recently. This study focused on an investigation of the feasibility for estimation of …

An alternative method for establishing crude oil properties, using 1 H nuclear magnetic
resonance (1 H NMR) associated with partial least squares regression is proposed. It can be …