Optical Assessment of In-Office Teeth Whitening Influence on Tooth Enamel Spectral Composition In Vivo
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Published:2022-12
Issue:4
Volume:31
Page:413-417
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ISSN:1060-992X
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Container-title:Optical Memory and Neural Networks
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language:en
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Short-container-title:Opt. Mem. Neural Networks
Author:
Timchenko E. V.,Frolov O. O.,Magsumova O. A.,Timchenko P. E.,Volova L. T.,Postnikov M. A.
Subject
Electrical and Electronic Engineering,General Computer Science,Electronic, Optical and Magnetic Materials
Reference13 articles.
1. Magsumova, O.A., Polkanova, V.A., Timchenko, E.V., and Volova, L.T., Raman spectroscopy and its application in different areas of medicine, Stomatologija, 2021, vol. 100, no. 4, pp. 137–142. 2. Magsumova, O.A., Postnikov, M.A., Trunin, D.A., and Filippova, M.D., Modern aspects of determining dental color in aesthetic dentistry, Stomatologija, 2021, vol. 100, no. 5, pp. 102–109. 3. Bazhutova, I.V., Magsumova, O.A., Frolov, O.O., Timchenko, E.V., Timchenko, P.E., Trunin, D.A., Komlev, S.S., and Polkanova, V.A., Raman spectroscopy analysis of dental enamel organic and mineral composition: an experimental non-randomised study, Kuban Sci. Med. Bull., 2021, vol. 28, no. 4, pp. 118–132. 4. Badalyan, S.A., Degtev, I.A., Kazumyan, S.V., Borisov, V.V., and Sevbitov, A.A., Teeth whitening systems, Int. Res. J., 2021, vol. 5-2, no. 107, pp. 78–82. 5. Chandna, P., Srivastava, N., and Ali, S., Remineralizing agents: The next frontier, Curr. Clin. Pharmacol., 2016, vol. 11, no. 3, pp. 211–220. PMID: .27281554
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