Quantitative analysis of the main components in ceramic raw materials based on the desktop LIBS analyzer

Abstract

The concentrations of SiO2, Al2O3, K2O, Na2O, CaO, MgO, Fe2O3, TiO2 and loss on ignition (L.O.I.) stand for the main inorganic composition in geological samples. The concentrations of the 8 oxides and L.O.I. are also the main indicators of concern in the production of building ceramics. The quantitative analysis of these 9 contents were performed by the fiber laser based laser-induced breakdown spectroscopy (LIBS). The combination of the continuous background deduction, FWHM intensity integral and the spectral sum normalization was proposed for data processing. After the data processing combined the continuous background deduction, FWHM intensity integral and spectral sum normalization, the mean absolute errors (MAE) of the calibration of L.O.I., SiO2, Al2O3, K2O, Na2O, CaO, MgO, Fe2O3 and TiO2 reduce from 2.03%, 12.06% , 4.84%, 1.10%, 0.69%, 0.31%, 0.11%, 0.20%, 0.10% to 1.80%, 9.48%, 2.12%, 0.36%, 0.58%, 0.11%, 0.08%, 0.19% and 0.05%, respectively. The multivariate method was further introduced and discussed to improve the analysis performance. The MAEs of L.O.I., SiO2, Al2O3, K2O and Na2O were further reduced to 1.12%, 2.07%, 1.38%, 0.35% and 0.43%, respectively. The results show that the overall prediction error could meet the requirements in the production of building ceramics. The LIBS desktop analyzer has great potential in detection applications on geological samples.

Atomic spectrometry update: review of advances in the analysis of metals, chemicals and materials

“…A paper by Zhang et al described the use of a fiber-laser-based desktop LIBS instrument to analyse the raw materials for ceramics quantitatively . 140 The eight oxides Al 2 O 3 , CaO, Fe 2 O 3 , K 2 O, MgO, Na 2 O, SiO 2 and TiO 2 were determined in the geological samples as well as the loss on ignition. For data processing, the authors used a combination of continuous background deduction and full width at half maximum intensity integral and spectral sum normalisation.…”

Quantitative Detection of Quartz Sandstone SiO2 Grade Using Polarized Infrared Absorption Spectroscopy with Convolutional Neural Network Model

“…Traditional methods for the quartz sandstone ore grade verifcation are mainly chemical detection methods, with high detection accuracy but large workloads, cumbersome operations, and high time costs. It is difcult to quickly determine the SiO 2 content of the ore in real-time [4]. As is known, target detection has evolved from chemical analysis to characteristic spectral analysis and has been widely utilized in the detection of metal and nonmetallic minerals [5,6].…”

A new stage of the Asian laser-induced breakdown spectroscopy community

“…This special issue is to memorialize the 4th ASLIBS and the ten-year anniversary of CSLIBS, and to mark a starting point for the next stage of growth of ACLIBS and CSLIBS. It collected nine research articles covering fundamental [5], instrumentation [6], data processing [7,8], and application [9][10][11][12][13] studies. The effects of lens-to-sample distance on plasma morphology and spectrum using a flat-top laser beam were investigated [5]; a LIBS-assisted glow discharge method for liquid samples was developed [6]; a support vector machine combined with restricted Boltzmann machine was proposed for steel classification [7]; and plasma images were utilized to reduce the spectral fluctuation in combustion environments [8].…”

“…The effects of lens-to-sample distance on plasma morphology and spectrum using a flat-top laser beam were investigated [5]; a LIBS-assisted glow discharge method for liquid samples was developed [6]; a support vector machine combined with restricted Boltzmann machine was proposed for steel classification [7]; and plasma images were utilized to reduce the spectral fluctuation in combustion environments [8]. The other five articles focused on the applications, including the quantitative analysis of ceramic raw materials [9], the identification of mural pigments [10] and volatile organic compounds [11], the determination of aqueous ruthenium by microwave-assisted LIBS [12], and the quantitative analysis of coal by X-ray fluorescence (XRF) assisted LIBS [13].…”