Surface-Enhanced Raman Spectroscopy and Artificial Neural Networks for Detection of MXene Flakes' Surface Terminations.
Journal
The journal of physical chemistry. C, Nanomaterials and interfaces
ISSN: 1932-7447
Titre abrégé: J Phys Chem C Nanomater Interfaces
Pays: United States
ID NLM: 101299949
Informations de publication
Date de publication:
25 Apr 2024
25 Apr 2024
Historique:
received:
27
02
2024
revised:
25
03
2024
accepted:
27
03
2024
medline:
1
5
2024
pubmed:
1
5
2024
entrez:
1
5
2024
Statut:
epublish
Résumé
The properties of MXene flakes, a new class of two-dimensional materials, are strictly determined by their surface termination. The most common termination groups are oxygen-containing (=O or -OH) and fluorine (-F), and their relative ratio is closely related to flake stability and catalytic activity. The surface termination can vary significantly among MXene flakes depending on the preparation route and is commonly determined after flake preparation by using X-ray photoelectron spectroscopy (XPS). In this paper, as an alternative approach, we propose the combination of surface-enhanced Raman spectroscopy (SERS) and artificial neural networks (ANN) for the precise and reliable determination of MXene flakes' (Ti
Identifiants
pubmed: 38690535
doi: 10.1021/acs.jpcc.4c01273
pmc: PMC11056973
doi:
Types de publication
Journal Article
Langues
eng
Pagination
6780-6787Informations de copyright
© 2024 The Authors. Published by American Chemical Society.
Déclaration de conflit d'intérêts
The authors declare no competing financial interest.