ArticleThe journal of physical chemistry. C, Nanomaterials and interfaces2024
Surface-Enhanced Raman Spectroscopy and Artificial Neural Networks for Detection of MXene Flakes' Surface Terminations.
Article in The journal of physical chemistry. C, Nanomaterials and interfaces, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Article
- Advancing Energy Development with MBene: Chemical Mechanism, AI, and Applications in Energy Storage and Harvesting.Nano-micro letters · 2026Review
- Surface-engineered porous MXene-elastomer composites-based ultra-sensitive pressure sensor assembled via electrostatic interaction for human-machine interface.Microsystems & nanoengineering · 2025Article
- Deep Learning-Powered Colloidal Digital SERS for Precise Monitoring of Cell Culture Media.Nano letters · 2025Article
- Deep Learning-Assisted SERS for Therapeutic Drug Monitoring of Clozapine in Serum on Plasmonic Metasurfaces.Nano letters · 2025Article
- Deep Learning-Powered Colloidal Digital SERS for Precise Monitoring of Cell Culture Media.bioRxiv : the preprint server for biology · 2025Article
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Authors and funding
16 authors.
Funding
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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' (Ti
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