A model combining spectrum standardization and dominant factor based partial least square method for carbon analysis in coal using laser-induced breakdown spectroscopy

Li, Xiongwei; Wang, Zhe; Fu, Yang; Li, Zheng; Ni, Weidou

doi:10.1016/j.sab.2014.06.017

Cited by 53 publications

(22 citation statements)

References 34 publications

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“…Most of these calibration methods use linear algebra to describe the relationship between the analyte concentration and the signal, despite the fact that LIBS calibration plots are often non-linear as a result of self absorption. Only a few authors have used nonlinear methods, including artificial neural networks [125,126], generalized linear correlation [63], or nonlinearized dominantfactor-based partial least squares (NDFPLS) [127,128], and reported on improved accuracy and precision. Non-linear methods will most probably become more popular in the future, because in addition to their better accuracy and precision they also enable a wider concentration range to be used for calibration.…”

Section: Quantitative Analysismentioning

confidence: 99%

A critical review of recent progress in analytical laser-induced breakdown spectroscopy

Galbács

2015

Anal Bioanal Chem

173

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Laser-induced breakdown spectroscopy (LIBS) has become an established analytical atomic spectrometry technique and is valued for its very compelling set of advantageous analytical and technical characteristics. It is a rapid, versatile, non-contact technique, which is capable of providing qualitative and quantitative analytical information for practically any sample, in a virtually non-destructive way, without any substantial sample preparation. The instrumentation is simple, robust, compact, and even enables remote analysis. This review attempts to give a critical overview of the diverse progress of the field, focusing on the results of the last five years. The advancement of LIBS instrumentation and data evaluation is discussed in detail and selected results of some prominent applications are also described.

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Section: Quantitative Analysismentioning

confidence: 99%

A critical review of recent progress in analytical laser-induced breakdown spectroscopy

Galbács

2015

Anal Bioanal Chem

173

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“…A series of studies have been conducted on LIBS applications for coal analysis, including elemental (ultimate) analysis [3][4][5] and coal property (proximate) analysis [6,7]. Wallis et al [3] measured the elemental composition of Si, Al, Fe, Ca, Mg, Na and Li [4] and Yuan et al [5] analyzed the carbon content.…”

Section: Introductionmentioning

confidence: 99%

“…Wallis et al [3] measured the elemental composition of Si, Al, Fe, Ca, Mg, Na and Li [4] and Yuan et al [5] analyzed the carbon content. Dong et al [6] measured the volatile matter content.…”

Section: Introductionmentioning

confidence: 99%

Effects of moisture content on coal analysis using laser-induced breakdown spectroscopy

Chen

Yuan

Hou

et al. 2015

Spectrochimica Acta Part B: Atomic Spectroscopy

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Laser-induced breakdown spectroscopy (LIBS) is regarded as a very promising technique for fast or online coal analysis. However, the analytical performance is greatly influenced by its moisture content. In the present work, the effects of moisture content variations on the properties of the laser-induced plasma and its spectral signals were investigated using the same coal samples mixed with different moisture contents. Plasma morphology and spatially resolved spectra were also obtained to further investigate the effects, and the mechanism of the effects was also discussed. Results showed that most of the spectral line intensities decreased as the moisture content increased, even including those of H and O. Seen from the spatially resolved spectra, the profile of H intensity over the height of plasma showed a higher peak position with increasing moisture content, and the height of the peak of the H intensity profile was slightly higher than those of other elements such as C and Al. The laser ablation process and mechanism underlying the effects of moisture content were proposed as following: part of the moisture was evaporated first under laser radiation and ablated earlier than those of other coal materials. Consequently, the outside layer of the laser-induced plasma was mostly from the dissociation of moisture. Given the earlier evaporation of moisture, part of the energy was used to dissociate and ionize the surrounding water vapor or even reflected by the splashed particle caused by fast expanding moisture, thereby shielding the further absorption of laser energy to the solid coal material. This phenomenon resulted in less coal mass being actually ablated into the plasma with increasing moisture content, hence emitting smaller line intensities. On the other hand, the decrease in H line intensity may be caused by the fact that these elements were pushed to the outside cooler layer.

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“…The processed wavelet coefficients were taken as inputs for the PLS model for calibration and the prediction of the C content, and the hybrid model resulted in a substantial improvement over the conventional PLS method under different ambient environments (air, argon, and helium). Li et al proposed a combination model with spectrum standardization and the dominant factor‐based PLS method for the C analysis of 24 bituminous coal samples. The spectrum standardization method was used to accurately calculate the dominant carbon concentration as the dominant factor, and then PLS was applied with full spectrum information to correct residual errors.…”

Section: Quantitative Analysismentioning

confidence: 99%

Chemometrics in laser‐induced breakdown spectroscopy

Zhang

Tang

2018

Journal of Chemometrics

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Laser-induced breakdown spectroscopy (LIBS) is a new type of elemental analytical technology with the advantages of real-time, online, and noncontact as well as enabling the simultaneous analysis of multiple elements. It has become a frontier analytical technique in spectral analysis. However, the issue of how to improve the accuracy of qualitative and quantitative analyses by extracting useful information from a large amount of complex LIBS data remains the main problem for the LIBS technique. Chemometrics is a chemical subdiscipline of multi-interdisciplinary methods; it offers advantages in data processing, signal analysis, and pattern recognition. It can solve some complicated problems that are difficult for traditional chemical methods. In this paper, we reviewed the research progress of chemometrics methods in LIBS for spectral data preprocessing as well as for qualitative and quantitative analyses in the most recent 5 years (2012-2016). KEYWORDSchemometrics, data preprocessing, laser-induced breakdown spectroscopy, qualitative analysis, quantitative analysis | INTRODUCTIONAs one of the most promising analytical tools in the 21st century, laser-induced breakdown spectroscopy (LIBS) is a novel analytical technique for materials and elements; it is based on atomic emission spectroscopy and a laser as an excitation source. 1-4 In LIBS, a low-energy pulse laser (typically tens to hundreds of millijoules per pulse) generated from a laser device is reflected by a plane mirror and focused by a plano-convex lens onto the sample surface; a laser-induced plasma with high temperature is then generated. The light with different frequencies is radiated during the plasma cooling process, and it is collected by an optical fiber coupled to a spectrometer. The qualitative and quantitative analyses by the LIBS technique can be performed using the wavelength and integrated intensity of the spectral line. A schematic diagram of the LIBS instrument is presented in Figure 1. It consists of Nd:YAG laser, optical part, X-Y-Z manual micrometric stage, optical fiber, spectrometer, Charge coupled device (CCD) camera, and computer.The LIBS technology has benefited from the invention of the ruby crystal laser 5 and was first reported by Brech and Cross. 6 It has become a research focus in the spectral field with the development of laser and optical detection techniques. Compared with conventional analytical tools, LIBS demonstrates some substantial advantages with regards to being rapid, real-time, on-site, and nondestructive while allowing remote detection without complicated sample preparation procedures as well as simultaneous multicomponent analysis. 7-9 Because of these advantages, LIBS technology has been widely used in process analysis and in the control of industrial manufacturing, food supervision, environmental monitoring, historical relic identification, and space exploration. [10][11][12][13] The National Aeronautics and

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A model combining spectrum standardization and dominant factor based partial least square method for carbon analysis in coal using laser-induced breakdown spectroscopy

Cited by 53 publications

References 34 publications

A critical review of recent progress in analytical laser-induced breakdown spectroscopy

A critical review of recent progress in analytical laser-induced breakdown spectroscopy

Effects of moisture content on coal analysis using laser-induced breakdown spectroscopy

Chemometrics in laser‐induced breakdown spectroscopy

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