Issue |
E3S Web Conf.
Volume 164, 2020
Topical Problems of Green Architecture, Civil and Environmental Engineering 2019 (TPACEE 2019)
|
|
---|---|---|
Article Number | 14001 | |
Number of page(s) | 7 | |
Section | Materials for Energy and Environment | |
DOI | https://doi.org/10.1051/e3sconf/202016414001 | |
Published online | 05 May 2020 |
Identification of succinite of infrared absorption spectra
1 Saint Petersburg State University of Architecture and Civil Engineering, 4 Vtoraya Krasnoarmeiskaya, St. Petersburg, 190005, Russia
2 ITMO University, 49 Kronverksky, St. Petersburg, 197101, Russia
3 Saint-Petersburg Mining University, 2, 21st Line, St.Petersburg, 199106, Russian Federation
* Corresponding author: yana_rus@inbox.ru
The solution of the problem of identification of amber (succinite) on the example of natural polymer material of organic origin on the basis of its infrared absorption spectra is proposed. Taking into account the growing demand for the use of such composite materials on an industrial scale and the insufficiency of existing methods for determining their composition, the proposed method can become a new solution to the problem of identification. The basis of the proposed method for the study of succinite using infrared spectroscopy is translucent spectroscopy, with the measurement of mirror and diffuse reflection. The samples amber of the Palmniken Deposit obtained in the city of Kaliningrad of the Russian Federation were used as the objects studied. The data of infrared spectra of succinite obtained by the proposed method of infrared spectroscopy are obtained and presented in comparison. Five main links on the obtained infrared spectra have been experimentally determined, which can be used as characteristic features for identification and diagnostics of succinite by the material composition. The proposed method may be of interest in the theory of knowledge of material science, research related to the processes of identification, processing of production of amber.
© The Authors, published by EDP Sciences 2020
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.