Rapid quantitative analysis of trace elements in plutonium alloys using a handheld laser-induced breakdown spectroscopy (LIBS) device coupled with chemometrics and machine learning

2021 ◽  
Author(s):  
Ashwin P. Rao ◽  
Phillip R. Jenkins ◽  
Dung M Vu ◽  
John D. Auxier ◽  
Anil K Patnaik ◽  
...  
Keyword(s):  
Machine Learning ◽  
Trace Elements ◽  
Quantitative Analysis ◽  
Chemometric Analysis ◽  
Laser Induced Breakdown Spectroscopy ◽  
Breakdown Spectroscopy ◽  
Laser Induced Breakdown

We present the first reported quantification of trace elements in plutonium via a portable laser-induced breakdown spectroscopy (LIBS) device and demonstrate the use of chemometric analysis to enhance the handheld...

Four-metal-element quantitative analysis and pollution source discrimination in atmospheric sedimentation by laser-induced breakdown spectroscopy (LIBS) coupled with machine learning

2020 ◽  
Vol 35 (2) ◽  
pp. 403-413 ◽  
Author(s):  
Xin Zhang ◽  
Nan Li ◽  
Chunhua Yan ◽  
Jiahui Zeng ◽  
Tianlong Zhang ◽  
...  
Keyword(s):  
Machine Learning ◽  
Quantitative Analysis ◽  
Pollution Source ◽  
Laser Induced Breakdown Spectroscopy ◽  
Source Discrimination ◽  
Metal Elements ◽  
Breakdown Spectroscopy ◽  
Metal Element ◽  
Laser Induced Breakdown

The laser-induced breakdown spectroscopy (LIBS) technique coupled with machine learning was proposed to perform four metal elements quantitative analysis and pollution source discrimination in atmospheric sedimentation.

Highly sensitive analysis of trace elements in aqueous solutions using surface-enhanced and discharge-assisted laser-induced breakdown spectroscopy

2022 ◽  
Author(s):  
Qiuyun Wang ◽  
Ting Ge ◽  
Yitong Liu ◽  
Luyun Jiang ◽  
Anmin Chen ◽  
...  
Keyword(s):  
Heavy Metal ◽  
Trace Elements ◽  
Quantitative Analysis ◽  
Aqueous Solutions ◽  
Laser Induced Breakdown Spectroscopy ◽  
Sensitive Analysis ◽  
Breakdown Spectroscopy ◽  
Highly Sensitive ◽  
Surface Enhanced ◽  
Laser Induced Breakdown

By combining surface-enhanced and discharge-assisted laser-induced breakdown spectroscopy (LIBS), the study successfully realized the quantitative analysis of trace heavy metal Cr, Cu, and Pb in aqueous solutions. We used an...

Standard Reference Line Combined with One-Point Calibration-Free Laser-Induced Breakdown Spectroscopy (CF-LIBS) to Quantitatively Analyze Stainless and Heat Resistant Steel

2018 ◽  
Vol 72 (8) ◽  
pp. 1183-1188 ◽  
Author(s):  
Hongbo Fu ◽  
Huadong Wang ◽  
Junwei Jia ◽  
Zhibo Ni ◽  
Fengzhong Dong
Keyword(s):  
Trace Elements ◽  
Quantitative Analysis ◽  
Reference Line ◽  
Laser Induced Breakdown Spectroscopy ◽  
Resistant Steel ◽  
Heat Resistant Steel ◽  
Breakdown Spectroscopy ◽  
Heat Resistant ◽  
Laser Induced Breakdown ◽  
Calibration Free

Due to the influence of self-absorption of major elements, scarce observable spectral lines of trace elements, and relative efficiency correction of experimental system, accurate quantitative analysis with calibration-free laser-induced breakdown spectroscopy (CF-LIBS) is in fact not easy. In order to overcome these difficulties, standard reference line (SRL) combined with one-point calibration (OPC) is used to analyze six elements in three stainless-steel and five heat-resistant steel samples. The Stark broadening and Saha-Boltzmann plot of Fe are used to calculate the electron density and the plasma temperature, respectively. In the present work, we tested the original SRL method, the SRL with the OPC method, and intercept with the OPC method. The final calculation results show that the latter two methods can effectively improve the overall accuracy of quantitative analysis and the detection limits of trace elements.

On the performance of laser-induced breakdown spectroscopy for quantitative analysis of minor and trace elements in glass

2015 ◽  
Vol 30 (2) ◽  
pp. 417-425 ◽  
Author(s):  
Erwan Negre ◽  
Vincent Motto-Ros ◽  
Frederic Pelascini ◽  
Sandrine Lauper ◽  
Danielle Denis ◽  
...  
Keyword(s):  
Trace Elements ◽  
Quantitative Analysis ◽  
Elemental Analysis ◽  
Laser Induced Breakdown Spectroscopy ◽  
Minor And Trace Elements ◽  
Figures Of Merit ◽  
Breakdown Spectroscopy ◽  
Laser Induced Breakdown ◽  
Laboratory Prototype ◽  
Analytical Figures Of Merit

The analytical figures of merit of laser-induced breakdown spectroscopy (LIBS) for elemental analysis of glass have been evaluated using a laboratory prototype of the LIBS instrument for the quantification of 4 elements, Ti, Cr, Ca and Ba.

scholarly journals Classification of Greek Olive Oils from Different Regions by Machine Learning-Aided Laser-Induced Breakdown Spectroscopy and Absorption Spectroscopy

Molecules ◽  
2021 ◽  
Vol 26 (5) ◽  
pp. 1241
Author(s):  
Nikolaos Gyftokostas ◽  
Eleni Nanou ◽  
Dimitrios Stefas ◽  
Vasileios Kokkinos ◽  
Christos Bouras ◽  
...  
Keyword(s):  
Machine Learning ◽  
Olive Oil ◽  
Absorption Spectra ◽  
Absorption Spectroscopy ◽  
Laser Induced Breakdown Spectroscopy ◽  
Spectroscopic Techniques ◽  
Breakdown Spectroscopy ◽  
Olive Oils ◽  
Laser Induced Breakdown

In the present work, the emission and the absorption spectra of numerous Greek olive oil samples and mixtures of them, obtained by two spectroscopic techniques, namely Laser-Induced Breakdown Spectroscopy (LIBS) and Absorption Spectroscopy, and aided by machine learning algorithms, were employed for the discrimination/classification of olive oils regarding their geographical origin. Both emission and absorption spectra were initially preprocessed by means of Principal Component Analysis (PCA) and were subsequently used for the construction of predictive models, employing Linear Discriminant Analysis (LDA) and Support Vector Machines (SVM). All data analysis methodologies were validated by both “k-fold” cross-validation and external validation methods. In all cases, very high classification accuracies were found, up to 100%. The present results demonstrate the advantages of machine learning implementation for improving the capabilities of these spectroscopic techniques as tools for efficient olive oil quality monitoring and control.

scholarly journals Imaging margins of skin tumors using laser-induced breakdown spectroscopy and machine learning

2021 ◽  
Author(s):  
Kateřina Kiss ◽  
Anna Šindelářová ◽  
Lukáš Krbal ◽  
Václav Stejskal ◽  
Kristýna Mrázová ◽  
...  
Keyword(s):  
Machine Learning ◽  
Significant Role ◽  
Skin Tumors ◽  
Laser Induced Breakdown Spectroscopy ◽  
Breakdown Spectroscopy ◽  
Laser Induced Breakdown

Nowadays, laser-based techniques play a significant role in medicine, mainly in the ophthalmology, dermatology, and surgical fields.

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