Evaluation of femtosecond laser-induced breakdown spectroscopy system as an offline coal analyzer

Abstract

Developments in femtosecond laser induced breakdown spectroscopy (fs-LIBS) applications during the last two decades have further centered on innovative métier tie-in to the advantageous properties of femtosecond laser ablation (fs-LA) introduced into LIBS. Yet, for industrially-oriented application like coal analysis, no research has exposed to view the analytical capabilities of fs-LA in enhancing the physical processes of coal ablation and the impact into quantitative correlation of spectra and data modeling. In a huge coal market, fast and accurate analysis of coal property is eminently important for coal pricing, combustion optimization, and pollution reduction. Moreover, there is a thirst need of precision standardization for coal analyzers in use. In this letter, the analytical performance of a one-box femtosecond laser system is evaluated relative to an industrially applied coal analyzer based on five objectives/measures: spectral correlation, relative sensitivity factors, craters topology, plasma parameters, and repeatability. Despite high-threshold operation parameters of the fs system, competitive results are achieved compared to the optimized analytical conditions of the ns-coal analyzer. Studies targeting the in-field optimization of fs-LIBS systems for coal analysis can potentially provide insights into fs-plasma hydrodynamics under harsh conditions, instrumental customization, and pave the way for a competitive next-generation of coal analyzers.

On the study of paintings' stratigraphy by fs-LIBS and MA-XRF techniques

“…Additionally, the use of a tightly focused, low-energy, ultra-fast (fs) laser system ensures that the surface damage is kept to a minimum, due to limited thermalization of the area around the beam spot. 4,31,32,[34][35][36][37][38] Undoubtedly there are also other laserbased analytical techniques that can provide information on the layering of materials. Micro-SORS is an analytical technique that can be used to non-destructively provide information on the composition of thin layered materials.…”

Developing a compact coal quality rapid detection integrated machine based on laser‐induced breakdown spectroscopy

“…Through model optimization, they have achieved high-precision measurements of industrial analysis indexes and calorific values of coal quality. [3][4][5][6] However, they have chosen coal pellets as their sample preparation method, which adds complexity to the process and limits the advantages of quick LIBS measurements. In addition, few teams have investigated the application of this technique to carbon accounting in emission control enterprises.…”

“…Researchers have successfully developed coal quality rapid machines for measurements in power plants. Through model optimization, they have achieved high‐precision measurements of industrial analysis indexes and calorific values of coal quality 3–6 . However, they have chosen coal pellets as their sample preparation method, which adds complexity to the process and limits the advantages of quick LIBS measurements.…”

Quantitative Analysis of the Cu Element Enhanced by AgNPs in a Single Microsized Suspended Particle Based on Optical Trapping-LIBS and Machine Learning

“…The findings displayed that anions and cations were detected by Raman and LIBS spectroscopy, respectively, and then a qualitative analysis of the coal aerosol from 10 different origin regions acquired an average accuracy of 90.6% through machine learning methods. At this regime, several signal enhancement LIBS techniques based on system device improvement, such as femtosecond LIBS, 14 double-pulse LIBS, 15 LIBS-atmospheric pressure glow discharge-cylindrical confinement system, 16 etc., have emerged to achieve high quantitative analysis accuracy. Additionally, the strength and repeatability of the LIBS signal can be enhanced using various experimental conditions and sample preparation techniques, such as the adsorption method and the film formation method.…”