Highlights in the field of air analysis included: a new focus on measuring tyre-wear particle
emissions; an interest in using unmanned aerial vehicles for sampling purposes and an …

The identification of ore samples is of great scientific significance for mineral exploration,
and geological evolution research on the planets. Attributed to the changes in the …

Next-generation advanced nuclear reactors based on molten salts are interested to apply
machine learning (ML) technology to minimize human error and realize effective …

The decarbonization of energy sources and electromobility depend on the efficient
production of Cu-based materials. A fast and detailed instrumental analysis of mineral …

Laser-induced breakdown spectroscopy (LIBS) is a type of optical emission spectroscopy
capable of rapid, simultaneous multi-element analysis. LIBS is effective for the analysis of …

Arsenic determination by LIBS at low levels is a challenging analytical task due to its low
sensitivity, limited number of available emission lines, and spectral interferences. In this …

A simple procedure for the synthesis of magnetic hybrid nanoparticles (MHNP) was
developed by combining multi-walled carbon nanotubes modified by microwave energy and …

Copper and its production process are crucial in the quest to achieve decarbonization of
energy sources and electromobility. The quantification of mineral species in copper ores in …

Steel is a widely used material. Since steel has different properties and uses depending on
the steel type, it is essential to accurately classify the steel types. LIBS is a promising …

A support vector machine regression (SVMR) model that integrates data preprocessing was
devised for the determination of Mo in molybdenum ores. To eliminate the negative effects of …