Combining Raman and laser induced breakdown spectroscopy by double pulse lasing

Lednev, V. N.; Першин, С. М.; Sdvizhenskii, P. A.; Grishin, M. Ya.; Fedorov, Alexander N.; Bukin, V. V.; Oshurko, V. B.; Щеголихин, А. Н.

doi:10.1007/s00216-017-0719-6

Cited by 23 publications

(6 citation statements)

References 46 publications

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“…The anionic sulfate group, on the other hand, can be well identified by its Raman spectrum, which is only little influenced by the choice of cation. Combining both methods has thus been proposed multiple times for different applications [77][78][79].…”

Section: Raman Spectroscopymentioning

confidence: 99%

“…This should be kept in mind when establishing LIBS calibration curves or estimating detection limits from the data. The area probed with the Raman spectrometer is, however, not the same as the area probed with the VUV-LIBS system, because the LIBS system does not allow precise targeting of particular locations in its current configuration, and for post-LIBS Raman spectroscopy measurements, the sample may have been altered by the LIBS pulse and produce unrepresentative results [79,90,91].…”

Section: Sample Characterizationmentioning

confidence: 99%

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Detecting sulfur on the Moon: The potential of vacuum ultraviolet laser-induced breakdown spectroscopy

Kubitza

Schröder

Dietz

et al. 2020

Spectrochimica Acta Part B: Atomic Spectroscopy

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This thesis investigates the application of laser-induced breakdown spectroscopy (LIBS) with detection in the vacuum ultraviolet (VUV) spectral range for in-situ space exploration. LIBS is a type of optical emission spectroscopy (OES). For LIBS, a pulsed laser is tightly focused onto the sample, thereby ablating material and exciting a luminous plasma. The atoms and ions contained in the plasma radiate light of characteristic wavelengths, which can be analysed with spectrometers like in other types of OES. The spectral analysis allows to identify the chemical elements in the plasma, which are assumed to be representative for the elements in the sample. With LIBS, in principle all elements can be detected. However, especially the non-metal elements are challenging to detect because their strongest lines are located in the VUV spectral range, i.e. below 200 nm, which is often not investigated. Detection in this range brings its own challenges, since large parts of the radiation spectrum are absorbed by the atmosphere surrounding the sample. On celestial bodies without an atmosphere, such as the Moon, the ambient conditions are well suited for VUV-LIBS analyses. In such a scenario, a better detectability for the otherwise challenging elements C, Cl, H, N, O, P and S is expected compared to LIBS in the usually employed detection range above 200 nm.Motivated by the recent ambitions of the national space agencies to return to the Moon and to potentially set up a permanent moon base in the near future, I investigated the potential of VUV-LIBS in a lunar context. For this project, a dedicated set-up for VUV-LIBS was designed and built at Institut für Optische Sensorsysteme of Deutsches Zentrum für Luft-und Raumfahrt (DLR-OS) in Berlin-Adlershof. After an initial characterization including a relative spectral sensitivity estimate, chemically simple samples have been studied in order to identify emission lines that are typically detectable with this set-up. From these measurements, emission lines from Al,

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Section: Raman Spectroscopymentioning

confidence: 99%

Section: Sample Characterizationmentioning

confidence: 99%

Detecting sulfur on the Moon: The potential of vacuum ultraviolet laser-induced breakdown spectroscopy

Kubitza

Schröder

Dietz

et al. 2020

Spectrochimica Acta Part B: Atomic Spectroscopy

View full text Add to dashboard Cite

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“…Therefore, it is possible to use a single instrument setup to combine Raman and LIBS if a short time delay is between the successive pulses. 92 Raman spectroscopy is of particular interest within the salt of the electrorefiner, which holds multiple elements, to account for its complex composition. One advantage Raman spectroscopy has over UV-Vis and Near-IR is its ability to measure from a stand-off distance; that is, direct contact is not necessary.…”

Section: Iiib6c Raman Spectroscopymentioning

confidence: 99%

Review of Candidate Techniques for Material Accountancy Measurements in Electrochemical Separations Facilities

et al. 2020

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Electrochemical reprocessing (also commonly known as pyroprocessing) of used nuclear fuel is an alternative to aqueous reprocessing that confers a number of advantages, including the ability to process more recently discharged fuel, smaller resultant waste volumes, and the lack of isolation of plutonium in the product stream. While electrochemical reprocessing systems have seen a significant research and development effort, nuclear safeguards and the security of these systems remain underdeveloped, particularly given the significant differences in operating environment and process flow sheet compared with established aqueous methods. In this paper we present an overview of the current state of the art for several of the most promising candidate techniques for material accountancy and process monitoring measurements for electrochemical separations facilities for used nuclear fuel, specifically passive radiation signatures (gamma spectroscopy, neutron spectroscopy, alpha spectrometry, calorimetry, and microcalorimetry), active radiation signatures (X-ray interrogation and its derivatives, high-resolution X-ray, k-edge densitometry, and hybrid k-edge densitometry; laser-induced breakdown spectroscopy; active neutron interrogation and neutron coincidence counting; inductively coupled plasma mass spectrometry; and optical measurements such as ultraviolet visible spectroscopy, near-infrared spectroscopy, and Raman spectroscopy), and control and process state variable monitoring (cyclic voltammetry and bulk measurements such as level and density, load cell forces, and off-gas monitors). This assessment includes an evaluation of each measurement's respective modality (i.e., whether the measurement relates to elemental, isotopic, or other properties), published best estimates of measurement precision, measurement latency, and an overall evaluation of each technique's level of technical maturity. Additionally, this study assesses the most likely locations within the pyroprocessing flow sheet where measurements may be deployed, the physical information required to properly capture the behavior of such measurements, and potential modeling strategies for such measurements. This latter component thus serves to inform future development of process monitoring models in existing and proposed electrochemical separations simulation models.

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“…In these works, researchers have proposed many methods. [ 27–29 ] For instance, Lednev et al combined Raman and LIBS by double pulse laser, [ 27 ] in which one is for getting LIBS spectra and the other is for getting Raman spectra. Choi et al detected the Raman and LIBS signal simultaneously from focused position and non‐focused position using a single pulse.…”

Section: Introductionmentioning

confidence: 99%

Feature‐level fusion of laser‐induced breakdown spectroscopy and Raman spectroscopy for improving support vector machine in clinical bacteria identification

Teng

Wang

Cui

et al. 2021

J Raman Spectroscopy

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In clinical field, the diagnosis of many diseases and their development stages depend on the detection of the corresponding bacteria. Raman spectroscopy and laser‐induced breakdown spectroscopy (LIBS) are two novel spectral diagnostic technologies for clinical bacteria identification. Both of them have been used in clinical detection combined with optimized support vector machine (SVM). In this paper, two feature‐level fusion methods (before feature selection fusion [BFSF] and after feature selection fusion [AFSF]) were proposed to improve the performance of SVM classifier and reduce the analyzing time (including the parameter tuning, model training, and testing time) simultaneously by combining data of LIBS and Raman spectroscopy. Using the most important 10 feature lines as the inputs of the optimized classifier, the analyzing time could be reduced to 1 to 2 min and the correct classification rate (CCR) achieved 95.67%. Without optimizing SVM parameters, the two proposed methods could achieve rapid and accurate classification of pathogenic bacteria further. The AFSF method showed better results with less fusion features while the BFSF method achieved higher CCR at 100% with more features. Both two methods costed around 0.2 s for analysis. These indicate that the proposed feature‐level fusion methods can improve the performance of SVM for bacteria detection. Maintaining the highest diagnostic accuracy, they can achieve the minimum analyzing time.

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Combining Raman and laser induced breakdown spectroscopy by double pulse lasing

Cited by 23 publications

References 46 publications

Detecting sulfur on the Moon: The potential of vacuum ultraviolet laser-induced breakdown spectroscopy

Detecting sulfur on the Moon: The potential of vacuum ultraviolet laser-induced breakdown spectroscopy

Review of Candidate Techniques for Material Accountancy Measurements in Electrochemical Separations Facilities

Feature‐level fusion of laser‐induced breakdown spectroscopy and Raman spectroscopy for improving support vector machine in clinical bacteria identification

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