Determination of Ash Content in Coal Using Laser-Induced Breakdown Spectroscopy with Multivariate Analysis

2021 ◽  
pp. 399-402
Author(s):  
Hemalaxmi Rajavelu ◽  
Nilesh J. Vasa ◽  
Satyanarayanan Seshadri
Keyword(s):  
Multivariate Analysis ◽  
Ash Content ◽  
Laser Induced Breakdown Spectroscopy ◽  
Breakdown Spectroscopy ◽  
Laser Induced Breakdown

Determination of Ash Content of coal by Laser-Induced Breakdown Spectroscopy

2019 ◽  
Vol 155 ◽  
pp. 123-126 ◽  
Author(s):  
Stefano Legnaioli ◽  
Beatrice Campanella ◽  
Stefano Pagnotta ◽  
Francesco Poggialini ◽  
Vincenzo Palleschi
Keyword(s):  
Ash Content ◽  
Laser Induced Breakdown Spectroscopy ◽  
Breakdown Spectroscopy ◽  
Laser Induced Breakdown

Fast Determination of Copper Content in Tobacco (Nicotina tabacum L.) Leaves Using Laser-Induced Breakdown Spectroscopy with Univariate and Multivariate Analysis

2018 ◽  
Vol 61 (3) ◽  
pp. 821-829 ◽  
Author(s):  
Jiyu Peng ◽  
Lanhan Ye ◽  
Tingting Shen ◽  
Fei Liu ◽  
Kunlin Song ◽  
...  
Keyword(s):  
Response Surface Methodology ◽  
Multivariate Analysis ◽  
Copper Content ◽  
Laser Induced Breakdown Spectroscopy ◽  
Fast Determination ◽  
Tobacco Leaves ◽  
Breakdown Spectroscopy ◽  
Laser Induced Breakdown ◽  
Determination Of Copper

Abstract. Fast and effective measures to determine heavy metals play an important role in ensuring food quality and safety. In this experiment, laser-induced breakdown spectroscopy (LIBS) was used to detect copper content (Cu) in tobacco ( L.) leaves. The experimental parameters for detection, including laser energy, delay time, and camera gate width, were optimized by response surface methodology (RSM). Univariate analysis and multivariate analysis, including partial least squares regression (PLSR) and extreme learning machine (ELM), were used to establish calibration models. In addition, different preprocessing methods were used to eliminate the signal variations and further improve the calibration performance, including baseline correction, background normalization, area normalization, and standard normal variate (SNV) normalization. The results showed that LIBS combined with both univariate and multivariate methods could be used to detect copper content in tobacco leaves. SNV and area normalization were efficient in dealing with signal variations and improving the calibration performance. The ELM model with SNV normalized variables in the spectral region of 324.02 to 325.98 nm achieved the best performance (R2 = 0.9552 and RMSE = 4.8416 mg kg-1 in the testing set). The results provide the first proof-of-principle data for fast determination of copper content in tobacco leaves. Keywords: Copper content, Laser-induced breakdown spectroscopy, Multivariate calibration, Response surface methodology, Tobacco leaves, Univariate calibration.

Provenance determination of sapphires and rubies using laser-induced breakdown spectroscopy and multivariate analysis

2015 ◽  
Vol 100 (8-9) ◽  
pp. 1921-1931 ◽  
Author(s):  
Kristen A. Kochelek ◽  
Nancy J. McMillan ◽  
Catherine E. McManus ◽  
David L. Daniel
Keyword(s):  
Multivariate Analysis ◽  
Laser Induced Breakdown Spectroscopy ◽  
Breakdown Spectroscopy ◽  
Laser Induced Breakdown

scholarly journals Sulfur Detection in Soil by Laser Induced Breakdown Spectroscopy Assisted by Multivariate Analysis

Materials ◽  
2021 ◽  
Vol 14 (3) ◽  
pp. 541
Author(s):  
Odhisea Gazeli ◽  
Dimitrios Stefas ◽  
Stelios Couris
Keyword(s):  
Multivariate Analysis ◽  
Vacuum Ultraviolet ◽  
Organic Soil ◽  
Spectral Lines ◽  
Laser Induced Breakdown Spectroscopy ◽  
Multivariate Statistical ◽  
Breakdown Spectroscopy ◽  
Laser Induced Breakdown ◽  
Potential Use

Laser-induced breakdown spectroscopy (LIBS) is used for the detection and determination of sulfur content in some organic soil samples. The most suitable sulfur spectral lines for such tasks were found to occur in the vacuum ultraviolet (VUV) spectral region and they were used for the construction of calibration curves. For the analysis, both univariate and multivariate statistical models were employed. The results obtained by the different analysis techniques are evaluated and compared. The present study demonstrates both the applicability and efficiency of LIBS for fast sulfur detection in soil matrices when aided by multivariate analysis methods improving the accuracy and extending the potential use of LIBS in such applications.

Extracting Coal Ash Content from Laser-Induced Breakdown Spectroscopy (LIBS) Spectra by Multivariate Analysis

2011 ◽  
Vol 65 (10) ◽  
pp. 1197-1201 ◽  
Author(s):  
Shunchun Yao ◽  
Jidong Lu ◽  
Meirong Dong ◽  
Kai Chen ◽  
Junyan Li ◽  
...  
Keyword(s):  
Multivariate Analysis ◽  
Coal Ash ◽  
Ash Content ◽  
Laser Induced Breakdown Spectroscopy ◽  
Breakdown Spectroscopy ◽  
Laser Induced Breakdown

Determination of Ca addition to the wheat flour by using laser-induced breakdown spectroscopy (LIBS)

2016 ◽  
Vol 242 (10) ◽  
pp. 1685-1692 ◽  
Author(s):  
Gonca Bilge ◽  
Banu Sezer ◽  
Kemal Efe Eseller ◽  
Halil Berberoğlu ◽  
Hamit Köksel ◽  
...  
Keyword(s):  
Wheat Flour ◽  
Laser Induced Breakdown Spectroscopy ◽  
Breakdown Spectroscopy ◽  
Ca Addition ◽  
Laser Induced Breakdown

Quantitative determination of calcium, magnesium, and zinc in fingernails by laser-induced breakdown spectroscopy

Talanta ◽  
2013 ◽  
Vol 117 ◽  
pp. 55-59 ◽  
Author(s):  
David A. Rusak ◽  
Ann E. Zeleniak ◽  
Jillian L. Obuhosky ◽  
Scott M. Holdren ◽  
Craig A. Noldy
Keyword(s):  
Quantitative Determination ◽  
Laser Induced Breakdown Spectroscopy ◽  
Breakdown Spectroscopy ◽  
Laser Induced Breakdown ◽  
Calcium Magnesium
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