Micro-Raman—a tool for the heavy mineral analysis of gold placer-type deposits (Pianu Valley, Romania)

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Maftei, A.E.; Buzatu, A.; Damian, G.; Buzgar, N.; Dill, H.G. et al.: Micro-Raman—a tool for the heavy mineral analysis of gold placer-type deposits (Pianu Valley, Romania). In: Minerals 10 (2020), Nr. 11, 988. DOI: https://doi.org/10.3390/min10110988

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To cite the version in the repository, please use this identifier: https://doi.org/10.15488/12687

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Sum total of downloads: 164




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Abstract: 
In the current study, different heavy minerals typical of gold placer deposits were identified by means of micro-Raman spectroscopy, and their chemical composition analyzed and discussed (garnet, kyanite, staurolite, zircon, allanite, monazite, xenotime, rutile, anatase, cassiterite, titanite, barite). Even complex solid solution series, such as those of garnets, can be deciphered with the aid of systematic trends observed in Raman line frequencies. The vi mode in garnets will shift from high to low frequencies as a function of the ionic radius of the X2+ cation, from Mg2+, to Fe2+ and Mn2+, while the presence of Ca2+ will make the band to be shifted strongly to even lower wavenumbers. This approach has successfully been taken to differentiate between polymorph triplets such as kyanite-sillimanite-andalusite and rutile-anatase-brookite. Minerals under consideration with high contents of REE, U and Th are affected by intensive metamictization, particularly zircon and titanite. Raman peak features, such as shape, symmetry and intensity, respond to this radiation damage of the lattice and enable fine-tuning of these heavy minerals, such as in the case of fluorite (fetid fluorite). © 2020, MDPI AG. All rights reserved.
License of this version: CC BY 4.0 Unported
Document Type: Article
Publishing status: publishedVersion
Issue Date: 2020
Appears in Collections:Naturwissenschaftliche Fakultät

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1 image of flag of Germany Germany 44 26.83%
2 image of flag of United States United States 17 10.37%
3 image of flag of Russian Federation Russian Federation 15 9.15%
4 image of flag of Iran, Islamic Republic of Iran, Islamic Republic of 9 5.49%
5 image of flag of Czech Republic Czech Republic 9 5.49%
6 image of flag of China China 9 5.49%
7 image of flag of Italy Italy 7 4.27%
8 image of flag of France France 5 3.05%
9 image of flag of India India 4 2.44%
10 image of flag of United Kingdom United Kingdom 3 1.83%
    other countries 42 25.61%

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