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0218U005173,
0117U003135
,
Graphene and metal- graphene nanostructures for surface enhanced Raman spectroscopy and thermostatic efficient technologies.
Fesenko Olena Marianivna,
07-06-2018
Institute of physics NASU
Object of the study- is the research and development of new high-performance graphene and metal-graphene substrates for enhancement of the optical signal for surface enhanced Raman spectroscopy (SERS). The aim of the study is research and development of new low-cost substrates based on graphene and grapheme-metal nanostructures to amplify the optical signal in Raman spectroscopy. Investigation and modeling of optical signal amplification effects in Raman spectroscopy of combinational scattering by graphene and metal graphene nanostructures. Theoretical investigations of lattice vibrations, thermal transport and mechanisms of surface-enhanced Raman scattering in graphene and graphene/gold nanostructures. Methods of investigation: Surface enhanced Raman spectroscopy (SERS), simulation. Theoretical and practical results: Raman spectra of samples of several types of graphene at various temperatures in the range from 100 to 400 K have been measured and the temperature coefficients of the G-peak of graphene displacement have been calculated. Measurements of the Raman spectra of graphene and graphene oxide on gold and quartz substrates, as well as graphene on SiO2 with addition of nanostars at temperatures from -170?С to 130?C have been carried out. According to the results of experiments, the callibration curve of G-peak graphene displacement was plotted. It is determined that the structure of graphene on the gold substrate has a higher coefficient of thermal conductivity than a similar sample on a quartz, which is consistent with the theoretical calculations of the Moldovan side, which showed an increase in the phonon states of graphene with the addition of gold.The effectiveness of the implementation: Increase in labor productivity and competitively of the goods, increase the sensitivity of detection and quality of visualization.
Будник Оксана Петрівна
Вовк Владислав Едуардович
Кавелін Владислав Володимирович
Ковальчук Сергій Васильович
Корсканов Валерій Васильович
Фесенко Олена Мар'янівна
Черьопкіна Ганна Ростиславівна
Яремкевич Андрій Дмитрович
2020-04-02
Updated: 2025-12-07
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