Hydrogen isotopic analysis using molecular emission from laser-induced plasma on liquid and frozen water

Choi, Sung-Uk; Han, Sol-Chan; Yun, Jong-Il

doi:10.1016/j.sab.2019.105716

Cited by 18 publications

(8 citation statements)

References 44 publications

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“…Sarkar et al 281 demonstrated the use of LA molecular isotopic spectrometry (LAMIS) to measure the D/H ratios in water by aerosolizing the samples with Ar and applying multivariate models. A similar study by Choi et al 282 compared LIBS and LAMIS for D/H ratio measurements on a liquid jet configuration using frozen samples, where it was concluded that the LAMIS configuration provided the most accurate results for real-time measurements (root mean square error of 0.33%). Additional studies have used LIBS to measure B and Li isotope ratios due to their roles as neutron absorbers in water reactors.…”

Section: Front End Of Nfcmentioning

confidence: 90%

Laser Ablation Plasmas and Spectroscopy for Nuclear Applications

Kwapis,

Borrero,

Latty

et al. 2023

Appl Spectrosc

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The development of measurement methodologies to detect and monitor nuclear-relevant materials remains a consistent and significant interest across the nuclear energy, nonproliferation, safeguards, and forensics communities. Optical spectroscopy of laser-produced plasmas is becoming an increasingly popular diagnostic technique to measure radiological and nuclear materials in the field without sample preparation, where current capabilities encompass the standoff, isotopically resolved and phase-identifiable (e.g., UO and UO[Formula: see text]) detection of elements across the periodic table. These methods rely on the process of laser ablation (LA), where a high-powered pulsed laser is used to excite a sample (solid, liquid, or gas) into a luminous microplasma that rapidly undergoes de-excitation through the emission of electromagnetic radiation, which serves as a spectroscopic fingerprint for that sample. This review focuses on LA plasmas and spectroscopy for nuclear applications, covering topics from the wide-area environmental sampling and atmospheric sensing of radionuclides to recent implementations of multivariate machine learning methods that work to enable the real-time analysis of spectrochemical measurements with an emphasis on fundamental research and development activities over the past two decades. Background on the physical breakdown mechanisms and interactions of matter with nanosecond and ultrafast laser pulses that lead to the generation of laser-produced microplasmas is provided, followed by a description of the transient spatiotemporal plasma conditions that control the behavior of spectroscopic signatures recorded by analytical methods in atomic and molecular spectroscopy. High-temperature chemical and thermodynamic processes governing reactive LA plasmas are also examined alongside investigations into the condensation pathways of the plasma, which are believed to serve as chemical surrogates for fallout particles formed in nuclear fireballs. Laser-supported absorption waves and laser-induced shockwaves that accompany LA plasmas are also discussed, which could provide insights into atmospheric ionization phenomena from strong shocks following nuclear detonations. Furthermore, the standoff detection of trace radioactive aerosols and fission gases is reviewed in the context of monitoring atmospheric radiation plumes and off-gas streams of molten salt reactors. Finally, concluding remarks will present future outlooks on the role of LA plasma spectroscopy in the nuclear community.

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Section: Front End Of Nfcmentioning

confidence: 90%

Laser Ablation Plasmas and Spectroscopy for Nuclear Applications

Kwapis,

Borrero,

Latty

et al. 2023

Appl Spectrosc

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“…In earlier studies of LAMIS at atmospheric pressure, the isotopic data were generated for 2 D/ 1 H, 28–31 89 Sr/ 88 Sr, 32 54 Fe/ 56 Fe, 33 15 N/ 14 N, 34 13 C/ 12 C 35 and 10 B/ 11 B 26,36,37 using chemometrics (partial least squares regression) calibration based LAMIS. Sarkar et al reported a precision as high as 9‰(2 σ ) for 10 B/ 11 B using the LAMIS technique.…”

Section: Introductionmentioning

confidence: 99%

Calibration free laser ablation molecular isotopic spectrometry (CF-LAMIS) for boron isotopic composition determination

Mohan¹,

Banerjee²,

Sarkar³

2023

J. Anal. At. Spectrom.

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“…Currently, more and more machine learning algorithms are used in combination with LIBS for more accurate classification, regression and clustering of samples. Daniel Diaz et al [2] applied LIBS and principal component analysis (PCA) to the classification of gold ores, and the results showed that: The ability of PCA to recognize Au emission line is closely related to the spectrum width of LIBS. PCA has the best performance when the spectral range is 0.15 nm and Au emission line is the center.…”

Section: The Introductionmentioning

confidence: 99%

Classification of soil by laser-induced breakdown spectroscopy combined with PCA-RF

Jin

Hao

Yang

et al. 2023

AOPC 2022: Optical Spectroscopy and Imaging

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The development of heavy metal mining area will pollute the surrounding soil and do great harm to the ecological environment and human health. Soil classification in different mining areas is of great significance to soil management and environmental pollution control. Soil is easily affected by matrix effect due to its complex physical properties and composition. Thus, accurately classifying soils is a challenge. Laser-induced breakdown spectroscopy has developed rapidly in the past two decades. It has been widely used in the detection of various physical samples due to its characteristics of fast analysis speed and no need for sample pretreatment. However, traditional LIBS technology has disadvantages such as low sensitivity, obvious noise and poor repeatability, which affect the accuracy of quantitative analysis. In this paper, a soil classification method based on principal component analysis (PCA) based laser-induced breakdown spectroscopy (LIBS) and random forest (RF) algorithm was proposed, and the standard soil samples from six different mining areas were accurately identified and classified. The final prediction results based on this combination show that the accuracy of soil classification by PCA-RF machine learning model can reach 97.86%. From the aspect of classification accuracy, it can be found that laser-induced breakdown spectroscopy combined with PCA-RF can achieve rapid and accurate classification of soil in different mining areas, which also provides a new method for soil classification in heavy metal mining areas.

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Hydrogen isotopic analysis using molecular emission from laser-induced plasma on liquid and frozen water

Cited by 18 publications

References 44 publications

Laser Ablation Plasmas and Spectroscopy for Nuclear Applications

Laser Ablation Plasmas and Spectroscopy for Nuclear Applications

Calibration free laser ablation molecular isotopic spectrometry (CF-LAMIS) for boron isotopic composition determination

Classification of soil by laser-induced breakdown spectroscopy combined with PCA-RF

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