Determination of environmental safety level with laser-induced breakdown spectroscopy technique

Badday, M. A.; Bidin, Noriah; Haider, Zuhaib; Hosseinian, Raheleh

doi:10.1080/02757540.2014.961436

Cited by 13 publications

(7 citation statements)

References 30 publications

(15 reference statements)

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“…Relying on the unique capability, LIBS technique has witnessed tremendous growth and been widely applied in variety of fields, such as environmental monitoring1415, archaeological investigations16, geological applications17, biomedical detection1819, industrial analysis20, agriculture212223, food242526, and space exploration2728.…”

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confidence: 99%

“…Laser-induced breakdown spectroscopy (LIBS), also named laser induced plasma spectroscopy (LIPS) or laser ablation spectroscopy (LAS), a kind of atomic emission spectroscopy, has been considered to be a future “superstar” for green chemical analysis due to its unique features 2 7 8 9 10 11 , like fast analysis time, multi-element detection in any kind of material (solid, liquid, and gas), high spatial resolution (at the μm range), and the potential to carry out in-situ or stand-off analysis 9 12 13 . Relying on the unique capability, LIBS technique has witnessed tremendous growth and been widely applied in variety of fields, such as environmental monitoring 14 15 , archaeological investigations 16 , geological applications 17 , biomedical detection 18 19 , industrial analysis 20 , agriculture 21 22 23 , food 24 25 26 , and space exploration 27 28 .…”

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confidence: 99%

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Laser-Induced Breakdown Spectroscopy Coupled with Multivariate Chemometrics for Variety Discrimination of Soil

Zhao

Liu

et al. 2016

Sci Rep

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The aim of this work was to analyze the variety of soil by laser-induced breakdown spectroscopy (LIBS) coupled with chemometrics methods. 6 certified reference materials (CRMs) of soil samples were selected and their LIBS spectra were captured. Characteristic emission lines of main elements were identified based on the LIBS curves and corresponding contents. From the identified emission lines, LIBS spectra in 7 lines with high signal-to-noise ratio (SNR) were chosen for further analysis. Principal component analysis (PCA) was carried out using the LIBS spectra at 7 selected lines and an obvious cluster of 6 soils was observed. Soft independent modeling of class analogy (SIMCA) and least-squares support vector machine (LS-SVM) were introduced to establish discriminant models for classifying the 6 types of soils, and they offered the correct discrimination rates of 90% and 100%, respectively. Receiver operating characteristic (ROC) curve was used to evaluate the performance of models and the results demonstrated that the LS-SVM model was promising. Lastly, 8 types of soils from different places were gathered to conduct the same experiments for verifying the selected 7 emission lines and LS-SVM model. The research revealed that LIBS technology coupled with chemometrics could conduct the variety discrimination of soil.

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confidence: 99%

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confidence: 99%

Laser-Induced Breakdown Spectroscopy Coupled with Multivariate Chemometrics for Variety Discrimination of Soil

Zhao

Liu

et al. 2016

Sci Rep

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“…97,98 Badday et al recently used a LIBS technique to provide quantitative measurements of heavy element content, including Ag, Cu, Cd, Cr, Hg, Mo, Ni, Pb, and Zn contents, in soil and validated the results obtained with data acquired from flame-AAS (FAAS). 99 They also used the LIBS technique to monitor traces of the essential minerals C, Ca, Ba, K, Mg, N, P, and Zn in soil.…”

Section: Soil Compositional Analysis Using Libsmentioning

confidence: 99%

Review: Application Of LIBS To Elemental Analysis And Mapping Of Plant Samples

Singh¹

2021

At.Spectrosc.

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Trace minerals and metallic elements play a key role in plant metabolism and function. Therefore, it is important to understand the movement and distribution of trace minerals within various parts of plants in order to understand their metabolic pathways. Information on the localization of minerals can be utilized in the fields of plant science, agriculture, and food technologies. In this context, herein, we review the feasibility of application of laser-induced breakdown spectroscopy (LIBS) as a technique for trace element detection and mapping in different plant matrices. LIBS is a well-established technique that can be used to perform rapid multi-elemental detection in various types of samples, including plants. Owing to the unique capabilities of LIBS, its field applications are growing rapidly, particularly in the area of plant science. Here, our primary emphasis is on the quantitative and qualitative elemental imaging of different varieties of plant species that are of importance as medicines and foodstuffs. In this review article, we present an exhaustive survey of recent developments, including technical advances and recent work involving the detection of nanoparticles in plant samples and in the monitoring of soil content. The future potential of LIBS and the viability of its possible applications to the detection of essential minerals and heavy metals in plants used as foods or of medicinal importance are also discussed.

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“…As a consequence, over the last two decades, LIBS has been widely applied in a variety of fields, such as environmental monitoring [17,18], biomedical applications [19,20], archeological investigations [21,22], pharmaceutical applications [23,24], extraterrestrial explorations [25][26][27][28], hazardous materials identification [29], nuclear fuel characterization [30,31], and geological material characterization [26,32,33]. In addition, LIBS has also been used to detect insulation failures in the power supplies used in medium voltage applications [34].…”

Section: ⅰ Introductionmentioning

confidence: 99%

Laser-Induced Breakdown Spectroscopy-Based Coal-Rock Recognition: An in Situ Sampling and Recognition Method

Liu¹,

Luo

Zhang

2021

IEEE Access

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Coal and rock recognition (CRR) has important theoretical and practical significance in unmanned coal mining. Laser-induced breakdown spectroscopy (LIBS) is considered a cutting-edge technology in the field of material analysis due to its real-time analysis capability, minimal to no sample preparation scheme, high sensitivity to low atomic weight elements, and ability to perform nearby and distant detection. In this research, a new fast and accurate coal-rock recognition method for unmanned coal mining based on LIBS is presented. The LIBS in situ sampling method of the coal mining face and the LIBS-based CRR method are discussed. Partial least squares discriminant analysis (PLS-DA) is used to analyze the LIBS spectrum and to construct a simplified spectral model (SSM). Finally, SSM and neural network classifiers are used to recognize coal and rock, and the results are presented and discussed. These results show that the CRR method proposed in this research has a high recognition accuracy rate.INDEX TERMS coal-rock recognition (CRR), laser-induced breakdown spectroscopy (LIBS), in situ, unmanned coal mining.

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Determination of environmental safety level with laser-induced breakdown spectroscopy technique

Cited by 13 publications

References 30 publications

Laser-Induced Breakdown Spectroscopy Coupled with Multivariate Chemometrics for Variety Discrimination of Soil

Laser-Induced Breakdown Spectroscopy Coupled with Multivariate Chemometrics for Variety Discrimination of Soil

Review: Application Of LIBS To Elemental Analysis And Mapping Of Plant Samples

Laser-Induced Breakdown Spectroscopy-Based Coal-Rock Recognition: An in Situ Sampling and Recognition Method

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