Ultrasensitive Detection of Dimethylamine Gas for\nEarly Diagnosis of Parkinson’s Disease Using CeO<sub>2</sub>‑Coated Ti<sub>3</sub>C<sub>2</sub>T<sub><i>x</i></sub> MXene/Carbon Nanofibers

Parkinson’s\ndisease is a prevalent neurological disorder,\nwith dimethylamine (DMA) recognized as a crucial breath biomarker,\nparticularly at the parts per billion (ppb) level. Detecting DMA gas\nat this level, especially at room temperature and high humidity, remains\na formidable challenge. This study presents an ultrasensitive chemiresistor\nDMA gas sensor, leveraging the CeO<sub>2</sub>-coated Ti<sub>3</sub>C<sub>2</sub>T<sub><i>x</i></sub> MXene/carbon nanofiber\n(CeO<sub>2</sub>/MXene/C NFs) heterostructure to enhance dimethylamine\nsensing. The high conductivity of MXene, combined with C–Ti–O\nbonds and a sp<sup>2</sup> hybridized hexagonal carbon structure,\nincreases surface active sites. The presence of Ce<sup>3+</sup> promotes\nthe formation of surface-active oxygen species, while the MXene-CeO<sub>2</sub> heterojunction broadens the electron depletion layer. Theoretical\ncalculations reveal that the highest adsorption energy for DMA gas\nis at the Ce top site, explaining the sensor’s satisfactory\nsensitivity, rapid response and recovery process, low detection limit\n(5 ppb), and high selectivity at room temperature. The Ce<sup>3+</sup>/Ce<sup>4+</sup> dynamic self-refresh mechanism, involving surface\nhydroxyl elimination, enhances the sensor’s performance under\nhigh-humid conditions. Clinical breath tests demonstrate the sensor’s\nability to distinguish between healthy individuals and Parkinson’s\ndisease patients, paving the way for developing next-generation sensors\nfor early diagnosis of neurological disorders.

Publication Details

Journal
Figshare
Published
2024-09-18
DOI
https://doi.org/10.1021/acssensors.4c01473.s001
Primary Topic
Gas Sensing Nanomaterials and Sensors
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Ultrasensitive Detection of Dimethylamine Gas for\nEarly Diagnosis of Parkinson’s Disease Using CeO2‑Coated Ti3C2Tx MXene/Carbon Nanofibers

Figshare
Gas Sensing Nanomaterials and Sensors
article

Ultrasensitive Detection of Dimethylamine Gas for\nEarly Diagnosis of Parkinson’s Disease Using CeO2‑Coated Ti3C2Tx MXene/Carbon Nanofibers

article en

Abstract

Parkinson’s\ndisease is a prevalent neurological disorder,\nwith dimethylamine (DMA) recognized as a crucial breath biomarker,\nparticularly at the parts per billion (ppb) level. Detecting DMA gas\nat this level, especially at room temperature and high humidity, remains\na formidable challenge. This study presents an ultrasensitive chemiresistor\nDMA gas sensor, leveraging the CeO<sub>2</sub>-coated Ti<sub>3</sub>C<sub>2</sub>T<sub><i>x</i></sub> MXene/carbon nanofiber\n(CeO<sub>2</sub>/MXene/C NFs) heterostructure to enhance dimethylamine\nsensing. The high conductivity of MXene, combined with C–Ti–O\nbonds and a sp<sup>2</sup> hybridized hexagonal carbon structure,\nincreases surface active sites. The presence of Ce<sup>3+</sup> promotes\nthe formation of surface-active oxygen species, while the MXene-CeO<sub>2</sub> heterojunction broadens the electron depletion layer. Theoretical\ncalculations reveal that the highest adsorption energy for DMA gas\nis at the Ce top site, explaining the sensor’s satisfactory\nsensitivity, rapid response and recovery process, low detection limit\n(5 ppb), and high selectivity at room temperature. The Ce<sup>3+</sup>/Ce<sup>4+</sup> dynamic self-refresh mechanism, involving surface\nhydroxyl elimination, enhances the sensor’s performance under\nhigh-humid conditions. Clinical breath tests demonstrate the sensor’s\nability to distinguish between healthy individuals and Parkinson’s\ndisease patients, paving the way for developing next-generation sensors\nfor early diagnosis of neurological disorders.

Figshare
Openalex Percentile: Top 69%
Gas Sensing Nanomaterials and Sensors
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.