Rapid classification of plastic bottles by laser-induced breakdown spectroscopy (LIBS) coupled with partial least squares discrimination analysis based on spectral windows (SW-PLS-DA)

2019 ◽  
Vol 34 (8) ◽  
pp. 1665-1671 ◽  
Author(s):  
Ke Liu ◽  
Di Tian ◽  
Xinxin Deng ◽  
Hongxia Wang ◽  
Guang Yang
Keyword(s):  
Least Squares ◽  
Partial Least Squares ◽  
Laser Induced Breakdown Spectroscopy ◽  
Discrimination Analysis ◽  
Breakdown Spectroscopy ◽  
Laser Induced Breakdown

With the increasingly extensive use of plastic bottles, the recycling and reuse of plastics continue to raise additional concerns.

Rapid classification of plastics by laser-induced breakdown spectroscopy (LIBS) coupled with partial least squares discrimination analysis based on variable importance (VI-PLS-DA)

2019 ◽  
Vol 11 (9) ◽  
pp. 1174-1179 ◽  
Author(s):  
Ke Liu ◽  
Di Tian ◽  
Hongxia Wang ◽  
Guang Yang
Keyword(s):  
Process Control ◽  
Least Squares ◽  
Laser Induced Breakdown Spectroscopy ◽  
Discrimination Analysis ◽  
Waste Plastic ◽  
Breakdown Spectroscopy ◽  
Plastic Recycling ◽  
Laser Induced Breakdown ◽  
Waste Plastic Recycling

Combination of LIBS and VI-PLS-DA is a promising approach to achieve the online analysis and process control of waste plastic recycling.

scholarly journals Correction: Accuracy improvement of boron by molecular emission with a genetic algorithm and partial least squares regression model in laser-induced breakdown spectroscopy

2020 ◽  
Vol 35 (7) ◽  
pp. 1498-1498
Author(s):  
Zhihao Zhu ◽  
Jiaming Li ◽  
Yangmin Guo ◽  
Xiao Cheng ◽  
Yun Tang ◽  
...  
Keyword(s):  
Genetic Algorithm ◽  
Regression Model ◽  
Least Squares ◽  
Partial Least Squares ◽  
Partial Least Squares Regression ◽  
Laser Induced Breakdown Spectroscopy ◽  
Least Squares Regression ◽  
Accuracy Improvement ◽  
Breakdown Spectroscopy ◽  
Laser Induced Breakdown

Correction for ‘Accuracy improvement of boron by molecular emission with a genetic algorithm and partial least squares regression model in laser-induced breakdown spectroscopy’ by Zhihao Zhu et al., J. Anal. At. Spectrom., 2018, 33, 205–209, DOI: 10.1039/C7JA00356K.

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