Recent technological progress in Asia from the first Asian Symposium on Laser-induced Breakdown Spectroscopy

Guo, Lian Bo; Li, Xiang You; Xiong, Wei; Zeng, Xianlin; Lu, Yongfeng

doi:10.1007/s11467-016-0635-9

Cited by 25 publications

(13 citation statements)

References 94 publications

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“…Laser-induced breakdown spectroscopy (LIBS) is a potential spectroscopy technology based on plasma spectral analysis from samples [1]. LIBS has been drawing attention in the last two decades due to its capability of rapid response, in situ elemental analysis with low invasiveness, simultaneous multi-element detection, no requirement for complicated sample preparation, remote detection, and in situ realtime analysis [2,3].…”

Section: Introductionmentioning

confidence: 99%

Spatial confinement effects of laser-induced breakdown spectroscopy at reduced air pressures

Zeng

Deng

Liu

et al. 2022

Front. Optoelectron.

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Spatial confinement is a simple and cost-effective method for enhancing signal intensity and improving the detection sensitivity of laser-induced breakdown spectroscopy (LIBS). However, the spatial confinement effects of LIBS under different pressures remains a question to be studied, because the pressure of the ambient gas has a significant influence on the temporal and spatial evolution of plasma. In this study, spatial confinement effects of LIBS under a series of reduced air pressures were investigated experimentally, and the plasma characteristics under different air pressures were studied. The results show that the reduced air pressure can lead to both earlier onset and weakening of the enhancement effect of the spatial confinement on the LIBS line intensity. When the air pressure drops to 0.1 kPa, the enhancement effect of the emission intensity no longer comes from the compression of the reflected shock wave on the plasma, but from the cavity’s restriction of the plasma expansion space. In conclusion, the enhancement effect of spatial confinement technology on the LIBS is still effective when the pressure is reduced, which further expands the research and application field of spatial confinement technology. Graphical abstract

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Section: Introductionmentioning

confidence: 99%

Spatial confinement effects of laser-induced breakdown spectroscopy at reduced air pressures

Zeng

Deng

Liu

et al. 2022

Front. Optoelectron.

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“…As an effective analysis method, laser‐induced breakdown spectroscopy (LIBS) is suitable for rapid multielement, in situ and on‐line analysis of metal samples 5‐9 . LIBS analysis by direct measurement of optical emission from the laser‐induced plasma has been a subject of research for many years 10‐16 . However, LIBS technology also has some defects in quantitative analysis, for example, the accuracy of quantitative analysis is affected by self‐absorption effect and plasma temperature.…”

Section: Introductionmentioning

confidence: 99%

Accuracy improvement for multimetal analysis by laser‐induced breakdown spectroscopy with least squares support vector machine

Che

Lin

Gao

et al. 2021

Micro & Optical Tech Letters

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An efficient method has been developed to analyze metal species by using laser‐induced breakdown spectroscopy (LIBS). A least squares support vector machine (LSSVM) was applied to quantitative analysis of multimetal samples with different matrix content, as LSSVM can select the input variables and convert the mapping to the feature space to obtain the linear performance. In this work, three kinds of metal species (alloy steel, ferrochromium alloy, and ferromanganese alloy) were used to construct the LSSVM model. The correlation coefficients (R2), the root‐mean‐square error of prediction (RMSEP), and the average relative error (ARE) were calculated according to the estimated concentrations of chromium (Cr), manganese (Mn), titanium (Ti), and molubdenum (Mo) using the LSSVM model. The results showed that RMSEP decreased from 1.7047%, 1.3453%, 1.9253%, and 2.9431% to 0.0747%, 0.0942%, 0.0192%, and 0.0809%. The ARE of Cr, Mn, Ti, and Mo decreased from 10.2370, 9.8276%, 13.2460%, and 16.2386% to 1.0179%, 1.3937%, 2.1228%, and 1.6257%, respectively. This study demonstrated that LSSVM is an effective algorithm to improve both the accuracy and stability for metal analysis using LIBS.

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“…Although an accurate analysis can be obtained by these methods, their sample pretreatment process is complex and the analysis speed is slow, which restricts their application in real-time and online analyses. − In recent years, spectroscopic technology such as Raman and near-infrared (NIR) spectroscopies has rapidly developed. Compared with traditional analysis technologies, they have the advantages of rapid analysis, simple sample preparation, low sample demand, nondestruction to samples, use in real-time and online detection, − and so on. Therefore, Raman and NIR spectroscopies are commonly used in the process analysis in petrochemical, pharmaceutical, food, and other fields. , Raman spectroscopy is a scattering spectroscopy used to characterize the rotation or vibration properties of sample molecules, and NIR spectroscopy is an electromagnetic wave between visible and mid-infrared used to obtain the characteristic information of hydrogen group in a sample molecule.…”

Section: Introductionmentioning

confidence: 99%

Data Fusion of Raman and Near-Infrared Spectroscopies for the Rapid Quantitative Analysis of Methanol Content in Methanol–Gasoline

Xue

et al. 2019

Energy Fuels

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Rapid analysis of methanol content in methanol−gasoline is of great significance to monitor the methanol− gasoline quality. In this work, two different data-fusion strategies based on Raman and near-infrared (NIR) spectroscopies coupled with partial least square (PLS) were constructed and applied for a rapid and accurate analysis of the methanol content in methanol−gasoline. The Raman and NIR spectra of 49 methanol−gasoline samples were recorded, and the characteristic peaks of the methanol−gasoline samples in Raman and NIR spectroscopies were identified. For spectral data fusion, two different data-fusion strategies based on Raman and NIR spectroscopies coupled with PLS were proposed; normalization was used for low-level data fusion, and variable importance in projection (VIP) was used for mid-level data fusion. The different spectra pretreatment methods, latent variables, and variable importance thresholds of VIP were explored and optimized by 5fold cross-validation (CV) to optimize the PLS calibration model for methanol content analysis. To further prove the predictive performance and stability of the PLS calibration model based on two data-fusion strategies, four PLS calibration models based on Raman, NIR, and two data-fusion strategies were applied to the quantitative analysis of methanol content in methanol− gasoline. The results show that the predictive performance of PLS calibration models based on the two data-fusion strategies is improved, and the PLS calibration model based on mid-level data fusion strategy gave an excellent predictive performance in methanol content analysis, with coefficients of determination of cross-validation (R cv 2 ) and validation set (R v 2 ) of 0.9988 and 0.9905, respectively, and root mean square error of cross-validation (RMSECV) and validation set (RMSEV) of 0.0068 and 0.0288%, respectively. Therefore, data fusion based on Raman and NIR spectroscopies coupled with PLS can give a rapid and accurate quantitative analysis of the methanol content in methanol−gasoline.

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Recent technological progress in Asia from the first Asian Symposium on Laser-induced Breakdown Spectroscopy

Cited by 25 publications

References 94 publications

Spatial confinement effects of laser-induced breakdown spectroscopy at reduced air pressures

Spatial confinement effects of laser-induced breakdown spectroscopy at reduced air pressures

Accuracy improvement for multimetal analysis by laser‐induced breakdown spectroscopy with least squares support vector machine

Data Fusion of Raman and Near-Infrared Spectroscopies for the Rapid Quantitative Analysis of Methanol Content in Methanol–Gasoline

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