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Hyperspectral Raman imaging using Bragg tunable filters of graphene and other low‐dimensional materials
Author(s) -
Gaufrès Etienne,
Marcet Stéphane,
Aymong Vincent,
Tang Nathalie YWa,
Favron Alexandre,
Thouin Felix,
Allard Charlotte,
Rioux David,
Cottenye Nicolas,
Verhaegen Marc,
Martel Richard
Publication year - 2018
Publication title -
journal of raman spectroscopy
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.748
H-Index - 110
eISSN - 1097-4555
pISSN - 0377-0486
DOI - 10.1002/jrs.5298
Subject(s) - hyperspectral imaging , raman spectroscopy , chemical imaging , graphene , materials science , carbon nanotube , raman microscope , nanotechnology , microscope , confocal , microscopy , chemical vapor deposition , optoelectronics , optics , raman scattering , computer science , artificial intelligence , physics
Hyperspectral Raman imaging is presented as a powerful method to acquire quantitative as well as qualitative information on low‐dimensional materials. The method is, however, not widely used due to limitations of the Raman scanning instruments. Here we present a hyperspectral Raman system based on Bragg tunable filtering that is capable of global imaging with significantly reduced acquisition time and improved sensitivity compared to scanning confocal Raman microscopes. The operation principles of the instrument are presented, and the performance is benchmarked using a calibrated carbon nanotube sample. Examples of various applications are shown to illustrate the abilities of the technique to characterize samples deposited on oxidized silicon substrates, including graphene stacks prepared by chemical‐vapor deposition, exfoliated MoS 2 , and carbon nanotubes filled with dye molecules. The wealth of information available through this hyperspectral Raman imaging technique opens many new ways to probe the properties of complex low‐dimensional materials. Copyright © 2017 John Wiley & Sons, Ltd.