2019
DOI: 10.1016/j.sab.2019.01.009
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Qualitative discrimination of coal aerosols by using the statistical evaluation of laser-induced breakdown spectroscopy data

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Cited by 20 publications
(8 citation statements)
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References 44 publications
(65 reference statements)
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“…Due to the matrix effect and self-absorption effect in the LIBS spectrum, the relationship between characteristic line intensity and element content is usually nonlinear. Therefore, the development of multivariate nonlinear correction methods based on chemometrics is helpful to improve the accuracy of qualitative analysis results of carbon elements in coal. …”
Section: Resultsmentioning
confidence: 99%
“…Due to the matrix effect and self-absorption effect in the LIBS spectrum, the relationship between characteristic line intensity and element content is usually nonlinear. Therefore, the development of multivariate nonlinear correction methods based on chemometrics is helpful to improve the accuracy of qualitative analysis results of carbon elements in coal. …”
Section: Resultsmentioning
confidence: 99%
“…Carbon dioxide from coal combustion is the main cause of the greenhouse effect, and sulfur dioxide from combustion is part of the cause of acid rain, so it is of great significance to monitor coal soot online. 104,105…”
Section: Case Studiesmentioning
confidence: 99%
“…Carbon dioxide from coal combustion is the main cause of the greenhouse effect, and sulfur dioxide from combustion is part of the cause of acid rain, so it is of great signicance to monitor coal soot online. 104,105 Wan et al used LIBS to carry out real-time in situ detection of different coal-red soot, and detected the main elements of Al, Fe, Ca, Mg, Mn, Si, Sr and Na in the soot. Additionally, spectral bands corresponding to CN molecules were observed.…”
Section: Particulate Matter Detection and Traceability In Industrial ...mentioning
confidence: 99%
“…Linear discriminant analysis (LDA), also known as discriminant function analysis, is a widely employed classication technique. 51 It generally performs well in LIBS classication studies done on various samples, including rocks, 10,34,61,62 although it is known to give unstable results if multicollinearity is present in the data set.…”
Section: Qualitative Discrimination Of Mineral Grainsmentioning
confidence: 99%
“…5 There is ample demonstration in the literature that the feature-rich LIBS spectra can be successfully used for the accurate identication or discrimination of a variety of samples (chemical ngerprinting). [6][7][8][9][10][11] Micrometer-resolution local analysis or elemental mapping can also be done on solid samples, allowing for material science, medical, environmental or industrial applications, [1][2][3]9,[12][13][14] even in the eld.…”
Section: Introductionmentioning
confidence: 99%