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Meirong Dong

Researcher at South China University of Technology

Publications -  39
Citations -  684

Meirong Dong is an academic researcher from South China University of Technology. The author has contributed to research in topics: Laser-induced breakdown spectroscopy & Chemistry. The author has an hindex of 13, co-authored 27 publications receiving 515 citations.

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Experimental study on the characteristics of molecular emission spectroscopy for the analysis of solid materials containing C and N.

TL;DR: The results showed that the characteristic of C2 bands emission is similar with that of neutral atomic carbon emission CI in different atmosphere (air and argon) and it has great relationship with the existence of CN radicals, the interaction between plasma and air ambient, and the recombination of excited partials.
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Application of LIBS for direct determination of volatile matter content in coal

TL;DR: In this paper, a broad set of coal samples with different amounts of volatile matter content were tested by LIBS, and the experimental results derived from the correlation were consistent with those from standard analysis procedures (thermo-gravimetric analysis, TGA).
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Extracting coal ash content from laser-induced breakdown spectroscopy (LIBS) spectra by multivariate analysis.

TL;DR: Results show that a good agreement is observed between the ash content provided by thermo-gravimetric analyzer and the LIBS measurements coupled to the PLS regression model for the unknown samples, and it is confirmed that this technique has good potential for quantitative analysis of theAsh content of coal.
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Multi-elemental analysis of fertilizer using laser-induced breakdown spectroscopy coupled with partial least squares regression

TL;DR: In this article, a set of calibration models were generated for phosphorus and potassium with the method of partial least squares (PLS) analysis, which is known as a multivariate calibration method.
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Quantitative Analysis of Calorific Value of Coal Based on Spectral Preprocessing by Laser-Induced Breakdown Spectroscopy (LIBS)

TL;DR: In this article, the influence of different spectral preprocessing methods such as smoothing, standard normal variate transformation (SNV), multiplicative scatter correction (MSC), mean centering (MC), and derivation by convolution (Savitzky-Golay) on the quantitative model have been analyzed and compared.