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Surface-Enhanced Raman Scattering Using 2D Materials

delete2024-04-22
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OA
AI
B
Beatriz Pinto de Sousa
S
Sara Fateixa *
T
Tito Trindade
DOI:10.1002/chem.202303658delete
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摘要

摘要

En 中文
The use of surface-enhanced Raman scattering (SERS) as a technique for detecting small amounts of (bio)chemical analytes has become increasingly popular in various fields. While gold and silver nanostructures have been extensively studied as SERS substrates, the availability of other types of substrates is currently expanding the applications of this spectroscopic method. Recently, researchers have begun exploring two-dimensional (2D) materials (e. g., graphene-like nanostructures) as substrates for SERS analysis. These materials offer unique optical properties, a well-defined structure, and the ability to modify their surface chemistry. As a contribution to advance this field, this concept article highlights the significance of understanding the chemical mechanism that underlies the experimental Raman spectra of chemisorbed molecules onto 2D materials' surfaces. Therefore, the article discusses recent advancements in fabricating substrates using 2D layered materials and the synergic effects of using their metallic composites for SERS applications. Additionally, it provides a new perspective on using Raman imaging in developing 2D materials as analytical platforms for Raman spectroscopy, an exciting emerging research area with significant potential. Raman spectroscopy and 2D materials: a perfect combination. Since graphene's SERS effect observation, 2D layered materials have been developed as active substrates for surface-enhanced Raman scattering (SERS). This perspective highlights the key concepts behind SERS spectroscopy and provides new insights into a new research field that combines the design of SERS 2D substrates using Raman spectroscopy and imaging. image
Keyword:
2D materials
surface chemistry
SERS
Raman spectroscopy
nanostructures

期刊

C
Chemistry-A European Journal
IF:
3.7
论文数:
3.9W
被引数:
9.6W

机构

U
universidade de aveiro
学者数:
1.3W
论文数: 1.4W
被引数: 24
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