Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 283

The DOI matches its Crossref record; 55 of the 55 references it cites were found in a registry or an index.

Monitoring Ti3C2Tx MXene Degradation Pathways Using Raman Spectroscopy

Open access
Adomaviciute-Grabusove, Sonata, Popov, Anton, Ramanavicius, Simonas, Sablinskas, Valdas, Shevchuk, Kateryna, Gogotsi, Oleksiy, Baginskiy, Ivan, Gogotsi, Yury, Ramanavicius, Arunas·2024·ACS Nano

Abstract

High Resolution Image Download MS PowerPoint Slide Extending applications of Ti 3 C 2 T x MXene in nanocomposites and across fields of electronics, energy storage, energy conversion, and sensor technologies necessitates simple and efficient analytical methods. Raman spectroscopy is a critical tool for assessing MXene composites; however, high laser powers and temperatures can lead to the materials’ deterioration during the analysis. Therefore, an in-depth understanding of MXene photothermal degradation and changes in its oxidation state is required, but no systematic studies have been reported. The primary aim of this study was to investigate the degradation of the MXene lattice through Raman spectroscopic analysis. Distinct spectral markers were related to structural alterations within the Ti 3 C 2 T x material after subjecting it to thermal- and laser-induced degradation. During the degradation processes, spectral markers were revealed for several specific steps: a decrease in the number of interlayer water molecules, a decrease in the number of −OH groups, formation of C–C bonds, oxidation of the lattice, and formation of TiO 2 nanoparticles (first anatase, followed by rutile). By tracking of position shifts and intensity changes for Ti 3 C 2 T x, the spectral markers that signify the initiation of each step were found. This spectroscopic approach enhances our understanding of the degradation pathways of MXene, and facilitating enhanced and dependable integration of these materials into devices for diverse applications, from energy storage to sensors.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1021/acsnano.4c02150

Cites

55 of 55 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 55 references

Cited by

Metadata

Authors
Adomaviciute-Grabusove, S., Popov, A., Ramanavicius, S., Sablinskas, V., Shevchuk, K., Gogotsi, O., Baginskiy, I., Gogotsi, Y., & Ramanavicius, A.
Venue
ACS Nano
Published
2024-05-06
Volume
18
Issue
20
Pages
13184-13195
ISSN
  • 1936-0851 (ISSN-L)
  • 1936-086X
OpenAlex
W4396665287
Cited by
283
References
55
FWCI
26.77
Type
journal article
Language
en
Open access
hybrid

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.