Renewable transportation fuels from biomass have the potential to substantially reduce
greenhouse gas emissions and diversify global fuel supplies. Thermal conversion by fast …

An implementation of a fast, robust, and effective algorithm is inevitable in modern
multivariate data analysis (MVDA). The principal component analysis (PCA) algorithm is …

This paper reviews methods to compensate for matrix effects and self-absorption during
quantitative analysis of compositions of solids measured using Laser Induced Breakdown …

In this review we discuss the application of laser-induced breakdown spectroscopy (LIBS) to
the problem of detection of residues of explosives. Research in this area presented in open …

During the past decade there has been intense activity in the field of laser-induced
breakdown spectroscopy (LIBS). This activity includes studies of laser ablation and …

One major technical difficulty of laser-induced breakdown spectroscopy (LIBS) lies in
achieving ideal accuracy of quantitative determination of the multiple chemical components …

The application of laser induced breakdown spectrometry (LIBS) aiming the direct analysis
of plant materials is a great challenge that still needs efforts for its development and …

The objective of the current research was to compare different data-driven multivariate
statistical predictive algorithms for the quantitative analysis of Fe content in iron ore …

The successive projections algorithm (SPA) is widely used to select variables for multiple
linear regression (MLR) modeling. However, SPA used only once may not obtain all the …

Using standard brass alloy samples, an approach to reduce the laser-induced breakdown
spectroscopy measurement uncertainty was tested and proved. Two important parameters …