Fast identification and characterization of residual wastes via laser-induced breakdown spectroscopy and machine learning

2021 ◽  
Vol 174 ◽  
pp. 105851
Author(s):  
Beibei Yan ◽  
Rui Liang ◽  
Bo Li ◽  
Junyu Tao ◽  
Guanyi Chen ◽  
...  
Keyword(s):  
Machine Learning ◽  
Laser Induced Breakdown Spectroscopy ◽  
Breakdown Spectroscopy ◽  
Fast Identification ◽  
Laser Induced Breakdown ◽  
Identification And Characterization

scholarly journals Characterization of smoker and non smoker human teeth using laser induced breakdown spectroscopy

2019 ◽  
Vol 15 (32) ◽  
pp. 150-159
Author(s):  
Ali A-K. Hussain
Keyword(s):  
Trace Elements ◽  
Toxic Elements ◽  
Laser Induced Breakdown Spectroscopy ◽  
Age Group ◽  
Human Teeth ◽  
Male Age ◽  
Breakdown Spectroscopy ◽  
Fast Identification ◽  
Laser Induced Breakdown

In this work, the elemental constituents of smoker and nonsmokerteeth samples of human were analyzed by Laser induced breakdownspectroscopy method (LIBS). Many elements have been detected inthe healthy teeth samples, the important once are Ca, P, Mg, Fe, Pband Na. Many differences were found between (female and male)teeth in Ca, P, Mg, Na and Pb contents. The concentrations of mosttoxic elements were found significantly in the smoker group. Themaximum concentrations of toxic elements such as Pb, Cd and Cowere found in older male age above 60 year. Also, it was found thatthe minimum concentrations of trace elements such as Ca, P and Naexist in this age group. From these results it is clear that the LIBStechnique is a powerful tool for fast identification of teeth problems.

Characterization of Amethysts from Sukamara, Central Kalimantan, Using Laser-Induced Breakdown Spectroscopy (LIBS)

2020 ◽  
Vol 1 (2) ◽  
pp. 5-8
Author(s):  
Komang Gde Suastika, Heri Suyanto, Gunarjo, Sadiana, Darmaji
Keyword(s):  
Emission Intensity ◽  
Laser Energy ◽  
Emission Spectra ◽  
Atomic Emission ◽  
Laser Induced Breakdown Spectroscopy ◽  
Chemical Formula ◽  
Central Kalimantan ◽  
Breakdown Spectroscopy ◽  
Laser Induced Breakdown

Abstract - Laser-Induced Breakdown Spectroscopy (LIBS) is one method of atomic emission spectroscopy using laser ablation as an energy source. This method is used to characterize the type of amethysts that originally come from Sukamara, Central Kalimantan. The result of amethyst characterization can be used as a reference for claiming the natural wealth of the amethyst. The amethyst samples are directly taken from the amethyst mining field in the District Gem Amethyst and consist of four color variations: white, black, yellow, and purple. These samples were analyzed by LIBS, using laser energy of 120 mJ, delay time detection of 2 μs and accumulation of 3, with and without cleaning. The purpose of this study is to determine emission spectra characteristics, contained elements, and physical characteristics of each amethyst sample. The spectra show that the amethyst samples contain some elements such as Al, Ca, K, Fe, Gd, Ba, Si, Be, H, O, N, Cl and Pu with various emission intensities. The value of emission intensity corresponds to concentration of element in the sample. Hence, the characteristics of the amethysts are based on their concentration value. The element with the highest concentration in all samples is Si, which is related to the chemical formula of SiO2. The element with the lowest concentration in all samples is Ca that is found in black and yellow amethysts. The emission intensity of Fe element can distinguish between white, purple, and yellow amethyst. If Fe emission intensity is very low, it indicates yellow sample. Thus, we may conclude that LIBS is a method that can be used to characterize the amethyst samples.Key words: amethyst, impurity, laser-induced, breakdown spectroscopy, characteristic, gemstones

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.

Characterization of Hygroscopic Insulator Contamination via Laser-Induced Breakdown Spectroscopy

2021 ◽  
Vol 49 (3) ◽  
pp. 1166-1172
Author(s):  
Xinran Qin ◽  
Fuzeng Zhang ◽  
Shaojie Chen ◽  
Tingting Wang ◽  
Xiao Hong ◽  
...  
Keyword(s):  
Laser Induced Breakdown Spectroscopy ◽  
Breakdown Spectroscopy ◽  
Laser Induced Breakdown

Characterization of ion irradiated silicon surfaces ablated by laser-induced breakdown spectroscopy

2018 ◽  
Vol 27 (8) ◽  
pp. 087401 ◽  
Author(s):  
T Iqbal ◽  
M Abrar ◽  
M B Tahir ◽  
M Seemab ◽  
A Majid ◽  
...  
Keyword(s):  
Silicon Surfaces ◽  
Laser Induced Breakdown Spectroscopy ◽  
Breakdown Spectroscopy ◽  
Laser Induced Breakdown

LIBS for the Analysis of Metallurgical and Solar Grade Silicon

2011 ◽  
Vol 324 ◽  
pp. 324-327 ◽  
Author(s):  
Sarah Darwiche ◽  
Malek Benmansour ◽  
Nir Eliezer ◽  
Daniel Morvan
Keyword(s):  
Chemical Characterization ◽  
Laser Induced Breakdown Spectroscopy ◽  
Solar Grade Silicon ◽  
Photovoltaic Panels ◽  
Breakdown Spectroscopy ◽  
Laser Induced Breakdown ◽  
Elemental Chemical Analysis ◽  
Boron Analysis ◽  
Grade Silicon

Laser-induced breakdown spectroscopy (LIBS) has been employed for the fast and reliable chemical characterization of silicon used for the photovoltaic industry. Silicon for photovoltaic panels is subject to certain constraints on its purity, and notably must contain low concentration of boron. The use of LIBS could be advantageous because it allows rapid and simultaneous multi-elemental chemical analysis of silicon without any sample preparation. LIBS was applied to boron analysis and a detection limit of 0.23 ppmw was found for optimized gas and pressure conditions.

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