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Surface-Enhanced Raman Spectroscopy and Artificial Neural Networks for Detection of MXene Flakes' Surface Terminations.
Trelin, Andrii; Skvortsova, Anastasiia; Olshtrem, Anastasia; Chertopalov, Sergii; Mares, David; Lapcak, Ladislav; Vondracek, Martin; Sajdl, Petr; Jerabek, Vitezslav; Maixner, Jaroslav; Lancok, Jan; Sofer, Zdenek; Regner, Jakub; Kolska, Zdenka; Svorcik, Vaclav; Lyutakov, Oleksiy.
Afiliación
  • Trelin A; Department of Solid State Engineering, University of Chemistry and Technology, Prague 16628, Czech Republic.
  • Skvortsova A; Department of Solid State Engineering, University of Chemistry and Technology, Prague 16628, Czech Republic.
  • Olshtrem A; Department of Solid State Engineering, University of Chemistry and Technology, Prague 16628, Czech Republic.
  • Chertopalov S; Institute of Physics of the Czech Academy of Sciences, Prague 18220, Czech Republic.
  • Mares D; Department of Microelectronics, Faculty of Electrical Engineering, Czech Technical University, Prague 16627, Czech Republic.
  • Lapcak L; Central Laboratories, University of Chemistry and Technology, Prague 16628, Czech Republic.
  • Vondracek M; Institute of Physics of the Czech Academy of Sciences, Prague 18220, Czech Republic.
  • Sajdl P; Department of Power Engineering, University of Chemistry and Technology, Prague 16628, Czech Republic.
  • Jerabek V; Department of Microelectronics, Faculty of Electrical Engineering, Czech Technical University, Prague 16627, Czech Republic.
  • Maixner J; Central Laboratories, University of Chemistry and Technology, Prague 16628, Czech Republic.
  • Lancok J; Institute of Physics of the Czech Academy of Sciences, Prague 18220, Czech Republic.
  • Sofer Z; Department of Inorganic Chemistry, University of Chemistry and Technology, Prague 16628, Czech Republic.
  • Regner J; Department of Inorganic Chemistry, University of Chemistry and Technology, Prague 16628, Czech Republic.
  • Kolska Z; Centre for Nanomaterials and Biotechnology, J. E. Purkyne University, Usti nad Labem 40096, Czech Republic.
  • Svorcik V; Department of Solid State Engineering, University of Chemistry and Technology, Prague 16628, Czech Republic.
  • Lyutakov O; Department of Solid State Engineering, University of Chemistry and Technology, Prague 16628, Czech Republic.
J Phys Chem C Nanomater Interfaces ; 128(16): 6780-6787, 2024 Apr 25.
Article en En | MEDLINE | ID: mdl-38690535
ABSTRACT
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' (Ti3C2Tx) surface chemistry. Ti3C2Tx flakes were independently prepared by three scientific groups and subsequently measured using three different Raman spectrometers, employing resonant excitation wavelengths. Manual analysis of the SERS spectra did not enable accurate determination of the flake surface termination. However, the combined SERS-ANN approach allowed us to determine the surface termination with a high accuracy. The reliability of the method was verified by using a series of independently prepared samples. We also paid special attention to how the results of the SERS-ANN method are affected by the flake stability and differences in the conditions of flake preparation and Raman measurements. This way, we have developed a universal technique that is independent of the above-mentioned parameters, providing the results with accuracy similar to XPS, but enhanced in terms of analysis time and simplicity.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: J Phys Chem C Nanomater Interfaces Año: 2024 Tipo del documento: Article País de afiliación: República Checa Pais de publicación: Estados Unidos
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: J Phys Chem C Nanomater Interfaces Año: 2024 Tipo del documento: Article País de afiliación: República Checa Pais de publicación: Estados Unidos