The Effect of Self-absorption Compensation Methods on the quantitative analysis of soil samples using Laser-induced Breakdown Spectroscopy

Optik ◽  
2021 ◽  
pp. 167301
Author(s):  
Xiaomei Lin ◽  
Yutao Huang ◽  
Jingjun Lin ◽  
Xun Gao
Keyword(s):  
Quantitative Analysis ◽  
Soil Samples ◽  
Laser Induced Breakdown Spectroscopy ◽  
Breakdown Spectroscopy ◽  
Compensation Methods ◽  
Laser Induced Breakdown

Quantitative analysis of titanium alloys using one-point calibration laser-induced breakdown spectroscopy

2021 ◽  
Vol 127 (3) ◽  
Author(s):  
Ran Hai ◽  
Weina Tong ◽  
Ding Wu ◽  
Zhonglin He ◽  
Harse Sattar ◽  
...  
Keyword(s):  
Quantitative Analysis ◽  
Titanium Alloys ◽  
Laser Induced Breakdown Spectroscopy ◽  
Breakdown Spectroscopy ◽  
Laser Induced Breakdown

A NOVEL STRATEGY FOR DIRECT ELEMENTAL DETERMINATION USING LASER-INDUCED BREAKDOWN SPECTROSCOPY: FLUENCE CALIBRATION

2021 ◽  
Author(s):  
Raquel C Machado ◽  
Diego Victor Babos ◽  
Daniel Fernandes Andrade ◽  
Edenir Rodrigues Pereira-Filho
Keyword(s):  
Quantitative Analysis ◽  
Matrix Effects ◽  
Calibration Method ◽  
Laser Induced Breakdown Spectroscopy ◽  
Breakdown Spectroscopy ◽  
Elemental Determination ◽  
Laser Induced Breakdown ◽  
Direct Solid Analysis ◽  
Novel Strategy ◽  
Direct Solid

Quantitative analysis requires several efforts to obtain an adequate calibration method to overcome matrix effects employing direct solid analysis by laser-induced breakdown spectroscopy (LIBS). To this end, in this study,...

Repeatability enhancing method for one-shot LIBS analysis via spectral intensity correction based on probability distribution

2021 ◽  
Author(s):  
Fu Chang ◽  
Jianhong Yang ◽  
Huili Lu ◽  
Haixia Li
Keyword(s):  
Quantitative Analysis ◽  
Probability Distribution ◽  
Spectral Intensity ◽  
Laser Induced Breakdown Spectroscopy ◽  
Breakdown Spectroscopy ◽  
Laser Induced Breakdown ◽  
Multiple Measurements

It is significant to improve the repeatability of quantitative analysis of laser-induced breakdown spectroscopy (LIBS) in one-shot measurement where the skill of averaging is not valid because multiple measurements are...

Deep Learning Associated with Laser-Induced Breakdown Spectroscopy (LIBS) for the Prediction of Lead in Soil

2019 ◽  
Vol 73 (5) ◽  
pp. 565-573 ◽  
Author(s):  
Yun Zhao ◽  
Mahamed Lamine Guindo ◽  
Xing Xu ◽  
Miao Sun ◽  
Jiyu Peng ◽  
...  
Keyword(s):  
Deep Learning ◽  
Confusion Matrix ◽  
Principal Component ◽  
Classification Performance ◽  
Soil Samples ◽  
Laser Induced Breakdown Spectroscopy ◽  
Support Vector ◽  
Breakdown Spectroscopy ◽  
Laser Induced Breakdown ◽  
Different Levels

In this study, a method based on laser-induced breakdown spectroscopy (LIBS) was developed to detect soil contaminated with Pb. Different levels of Pb were added to soil samples in which tobacco was planted over a period of two to four weeks. Principal component analysis and deep learning with a deep belief network (DBN) were implemented to classify the LIBS data. The robustness of the method was verified through a comparison with the results of a support vector machine and partial least squares discriminant analysis. A confusion matrix of the different algorithms shows that the DBN achieved satisfactory classification performance on all samples of contaminated soil. In terms of classification, the proposed method performed better on samples contaminated for four weeks than on those contaminated for two weeks. The results show that LIBS can be used with deep learning for the detection of heavy metals in soil.

A fast variable selection method for quantitative analysis of soils using laser-induced breakdown spectroscopy

2017 ◽  
Vol 32 (6) ◽  
pp. 1166-1176 ◽  
Author(s):  
Xiao Fu ◽  
Fa-Jie Duan ◽  
Ting-Ting Huang ◽  
Ling Ma ◽  
Jia-Jia Jiang ◽  
...  
Keyword(s):  
Quantitative Analysis ◽  
Variable Selection ◽  
Selection Method ◽  
Laser Induced Breakdown Spectroscopy ◽  
Fast Variable ◽  
Breakdown Spectroscopy ◽  
Variable Selection Method ◽  
Laser Induced Breakdown

A fast variable selection method combining iPLS and mIPW-PLS is proposed to reduce the dimensions of the spectrum for LIBS quantitative analysis.

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