Weighted-averaging-based classification of laser-induced breakdown spectroscopy measurements using most informative spectral lines

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.

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Gold Nanoparticle-Enhanced Laser-Induced Breakdown Spectroscopy and Three-Dimensional Contour Imaging of an Aluminum Alloy

Applied Spectroscopy ◽

10.1177/0003702820973040 ◽

2020 ◽

pp. 000370282097304

Author(s):

Amal A. Khedr ◽

Mahmoud A. Sliem ◽

Mohamed Abdel-Harith

Keyword(s):

Gold Nanoparticles ◽

Aluminum Alloy ◽

Three Dimensional ◽

Plasma Temperature ◽

Spectral Lines ◽

Laser Induced Breakdown Spectroscopy ◽

Al Alloy ◽

Boltzmann Plot ◽

Breakdown Spectroscopy ◽

Laser Induced Breakdown

In the present work, nanoparticle-enhanced laser-induced breakdown spectroscopy was used to analyze an aluminum alloy. Although LIBS has numerous advantages, it suffers from low sensitivity and low detection limits compared to other spectrochemical analytical methods. However, using gold nanoparticles helps to overcome such drawbacks and enhances the LIBS sensitivity in analyzing aluminum alloy in the current work. Aluminum was the major element in the analyzed samples (99.9%), while magnesium (Mg) was the minor element (0.1%). The spread of gold nanoparticles onto the Al alloy and using a laser with different pulse energies were exploited to enhance the Al alloy spectral lines. The results showed that Au NPs successfully improved the alloy spectral lines intensity by eight times, which could be useful for detecting many trace elements in higher matrix alloys. Under the assumption of local thermodynamic equilibrium, the Boltzmann plot was used to calculate the plasma temperature. Besides, the electron density was calculated using Mg and H lines at Mg(I) at 285.2 nm and Hα(I) at 656.2 nm, respectively. Three-dimensional contour mapping and color fill images contributed to understanding the behavior of the involved effects.

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Classification of Chinese green tea grade using laser-induced breakdown spectroscopy

10.13031/aim.201700453 ◽

2017 ◽

Author(s):

Hongyang Zhang ◽

Qibing Zhu ◽

Min Huang ◽

Ya Guo

Keyword(s):

Green Tea ◽

Laser Induced Breakdown Spectroscopy ◽

Breakdown Spectroscopy ◽

Laser Induced Breakdown

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Towards in-situ chemical classification of seafloor deposits: Application of neural networks to underwater laser-induced breakdown spectroscopy

OCEANS 2017 - Aberdeen ◽

10.1109/oceanse.2017.8084734 ◽

2017 ◽

Cited By ~ 1

Author(s):

Soichi Yoshino ◽

Tomoko Takahashi ◽

Blair Thornton

Keyword(s):

Neural Networks ◽

Laser Induced Breakdown Spectroscopy ◽

Chemical Classification ◽

Breakdown Spectroscopy ◽

Laser Induced Breakdown ◽

Underwater Laser

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Laser Induced Breakdown Spectroscopy (LIBS): Application to Geological Materials-=SUP=-*-=/SUP=-

Оптика и спектроскопия ◽

10.21883/os.2021.10.51502.1003-21 ◽

2021 ◽

Vol 129 (10) ◽

pp. 1336

Author(s):

Sonali Dubey ◽

Rohit Kumar ◽

Abhishek K. Rai ◽

Awadhesh K. Rai

Keyword(s):

Planetary Exploration ◽

Field Analysis ◽

Laser Induced Breakdown Spectroscopy ◽

Data Set ◽

Geological Materials ◽

Breakdown Spectroscopy ◽

Spot Detection ◽

Huge Data ◽

Laser Induced Breakdown

Laser-induced breakdown spectroscopy (LIBS) is emerging as an analytical tool for investigating geological materials. The unique abilities of this technique proven its potential in the area of geology. Detection of light elements, portability for in-field analysis, spot detection, and no sample preparation are some features that make this technique appropriate for the study of geological materials. The application of the LIBS technique has been tremendously developed in recent years. In this report, results obtained from previous and most recent studies regarding the investigation of geological materials LIBS technique are reviewed. Firstly, we introduce investigations that report the advancement in LIBS instrumentation, its applications, especially in the area of gemology and the extraterrestrial/planetary exploration have been reviewed. Investigation of gemstones by LIBS technique is not widely reviewed in the past as compared to LIBS application in planetary exploration or other geological applications. It is anticipated that for the classification of gemstones samples, huge data set is appropriate and to analyze this data set, multivariate/chemometric methods will be useful. Recent advancement of LIBS instrumentation for the study of meteorites, depth penetration in Martian rocks and its regolith proved the feasibility of LIBS used as robotic vehicles in the Martian environment. Keywords: LIBS, Gemstone, geological samples, Extra-terrestrial

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In situ classification of rocks using stand-off laser-induced breakdown spectroscopy with a compact spectrometer

Journal of Analytical Atomic Spectrometry ◽

10.1039/c8ja00001h ◽

2018 ◽

Vol 33 (3) ◽

pp. 461-467 ◽

Cited By ~ 16

Author(s):

W. T. Li ◽

Y. N. Zhu ◽

X. Li ◽

Z. Q. Hao ◽

L. B. Guo ◽

...

Keyword(s):

High Accuracy ◽

Remote Detection ◽

Laser Induced Breakdown Spectroscopy ◽

Breakdown Spectroscopy ◽

Laser Induced Breakdown

The ASPI-LDA algorithm combined with a compact spectrometer to achieve high accuracy classification, which has a great potential for field in situ remote detection.

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