Paddubskaya Alesia, Rutkauskas Danielis, Karpicz Renata, Dovbeshko Galina, Nebogatikova Nadezhda, Antonova Irina, Dementjev Andrej
Institute for Nuclear Problems, Belarusian State University, 220006, Minsk, Belarus.
Center for Physical Sciences and Technology, Sauletekio ave. 3, LT-10257, Vilnius, Lithuania.
Nanoscale Res Lett. 2020 Feb 7;15(1):37. doi: 10.1186/s11671-020-3264-8.
The shape of coherent anti-Stokes Raman scattering (CARS) spectral line depends on the ratio of the vibrational and electronic contributions to the third-order susceptibility of the material. The G-mode (1590 cm) of graphene and carbon nanotubes (CNTs) exhibits opposite features in the CARS spectrum, showing "dip" and "peak," respectively. Here, we consider the CARS spectra of graphene and carbon nanotubes in terms of Fano formalism describing the line shapes of CARS resonances. We show that imaging at only 1590 cm is not sufficient to separate the constituents of a composite material consisting of both graphene and CNTs. We propose an algorithm to map the graphene and CNTs in a composite material.
相干反斯托克斯拉曼散射（CARS）谱线的形状取决于材料三阶极化率中振动和电子贡献的比例。石墨烯和碳纳米管（CNTs）的G模式（1590 cm）在CARS光谱中表现出相反的特征，分别呈现“凹陷”和“峰值”。在此，我们根据描述CARS共振线形的法诺形式理论来考虑石墨烯和碳纳米管的CARS光谱。我们表明，仅在1590 cm处成像不足以分离由石墨烯和碳纳米管组成的复合材料的成分。我们提出了一种算法来绘制复合材料中石墨烯和碳纳米管的分布图。
