3D Raman mapping combined with FIB‐SEM on multiphase fluid inclusions: A tool to unravel complex phase assemblages

Aradi, László Előd; Spránitz, Tamás; Myovela, Justine L.; Guzmics, Tibor; Patkó, Levente; Berkesi, Márta

doi:10.1002/jrs.6564

Cited by 4 publications

(2 citation statements)

References 52 publications

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“…In the field of Raman imaging, a high-resolution 3D Raman mapping on primary multiphase fluid inclusions (MFI) from a granulite and an eclogite of the Cabo Ortegal Complex (NW Spain) was performed by Aradi et al 16 They describe the technical challenges and their solutions and stress that 3D models and subsequent volume calculation for individual inclusion phases based on the Raman spectroscopy data needed to be 'optimized' based on additional Focused Ion Beam-Scanning Electron Microscopy (FIB-SEM) data.…”

Section: Techniques and Instrumentationmentioning

confidence: 99%

GeoRaman 2022

Culka,

Jehlička

2023

J Raman Spectroscopy

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GeoRaman 2022 is the XV edition of the international biennial conference covering the applications of Raman spectroscopy to mineralogy, geology and earth sciences in broad sense including topics in astrobiology and cultural heritage. After 20 years, the 2022 edition returned to Prague (Czechia) where it was held in Karolinum, the historical building of Charles University from 29th of August to 1st of September 2022. GeoRaman conferences have a long tradition starting with the first edition of GeoRaman conference that was organized in Paris (France) in 1986 by Prof. D. C. Smith. After the two following editions that had been also held in France: Toulouse (1989) and Nantes (1996), the GeoRaman became an international meeting. Thus, our conference visited

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Section: Techniques and Instrumentationmentioning

confidence: 99%

GeoRaman 2022

Culka,

Jehlička

2023

J Raman Spectroscopy

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“…Raman imaging has been used extensively in a variety of research fields such as materials science, biomedicine, nanoscience and technology, pharmaceutical engineering, and food technology 16 – 19 . Minerals have recently become important targets of Raman imaging 20 , 21 . One can use this technique for visualizing the distributions of components but also those for physical properties such as crystallinity.…”

Section: Introductionmentioning

confidence: 99%

Visualization and identification of components in a gigantic spherical dolomite concretion by Raman imaging in combination with MCR or CLS methods

Kitanaka,

Tsuboi,

Numata

et al. 2024

Sci Rep

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The combination of Raman imaging and multivariate curve resolution (MCR) or classical least squares (CLS) has allowed us to explore the distribution and identification of components in a gigantic spherical dolomite concretion. It has been found by the MCR and CLS analyses of imaging data that the concretion contains dolomite, kerogen, anatase, quartz, plagioclase, and carbon materials with considerably large distribution of dolomite. The existence of these components has also been confirmed by the point-by-point analysis of imaging data. The distributions of these components were clearly observed by Raman images. Of note is that the amount of carbon materials is considerably large, and they are buried among the matrix sedimentary grains in the concretion, suggesting that there exist soft tissues with biological origin. Moreover, one of the loading spectra of CLS shows intense bands in the region of 3000–2800 cm−1, and bands at ca. 1658, ca. 1585, 1455, 1323, and 1261 cm−1. These bands indicate the existence of decomposed organic materials in the concretion. Raman imaging of concretions provides direct evidence that concretions are of biological organic origin.

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An alternative macro‐Raman mapping algorithm, adapting the numbers of accumulations

Vandenabeele

2024

J Raman Spectroscopy

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Macro‐Raman mapping is an approach that is well suited to study the distribution of molecules over a surface of typically several cm2, such as the pigment distribution on a painting. During such an experiment, thousands Raman spectra are recorded in a predefined array of points. As there can be a huge difference in Raman sensitivity between different molecules, an alternative approach is proposed, where measurement times are adapted according to the quality of the Raman scatterer. Therefore, an iterative process is implemented, involving recording short accumulations, followed by a quick evaluation. As soon as the accumulated spectrum reaches a quality criterium, measurement of the next point is started, while in the other case further accumulations are added. The influence of using multiple accumulations opposite to a single measurement for a prolonged period has been assessed by comparing the overall measurement time and the spectral intensity of the main Raman band (520.5 cm−1) of silicon. Another prerequisite for this algorithm to be successful is the need for a quick and reliable evaluation of the spectral quality. This was examined by applying this function on the accumulations of Raman spectra of 49 paint samples from a colour chart. Finally, the variable‐accumulation algorithm is applied during a macro‐Raman mapping experiment of a watercolour painting on paper. Despite a significant gain in overall measuring time, this novel approach yields a qualitative data set that can be used for creating clear Raman maps, using different data processing methods.

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3D Raman mapping combined with FIB‐SEM on multiphase fluid inclusions: A tool to unravel complex phase assemblages

Cited by 4 publications

References 52 publications

GeoRaman 2022

GeoRaman 2022

Visualization and identification of components in a gigantic spherical dolomite concretion by Raman imaging in combination with MCR or CLS methods

An alternative macro‐Raman mapping algorithm, adapting the numbers of accumulations

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