4.7 Article

Detection of DMF and NH3 at Room Temperature Using a Sensor Based on a MoS2/Single-Walled Carbon Nanotube Composite

Journal

ACS APPLIED NANO MATERIALS
Volume 6, Issue 12, Pages 10698-10712

Publisher

AMER CHEMICAL SOC
DOI: 10.1021/acsanm.3c01638

Keywords

MoS2; SWCNT composite; volatileorganic compounds (VOC); relative humidity (RH); dual response; p-n heterojunctions

Ask authors/readers for more resources

This study presents a chemiresistive sensor based on a MoS2/SWCNTs composite for the dual detection of DMF and NH3 at room temperature. The composite sensor showed good selectivity and response capabilities, along with environmental stability and increased surface area. These results provide a platform for developing next-generation gas sensors for diverse potential gas-sensing applications.
Two-dimensional molybdenum disulfide (MoS2) with highsurface area and layered structure has received substantial attentionfor its potential use in detecting volatile organic compounds (VOCs)and trace gases with good relative response and selectivity at roomtemperature. However, two of the long-standing challenges to broaderuse of MoS2 are its poor recovery kinetics and susceptibilityto oxidation in a humid environment. To address these issues, we presenta chemiresistive sensor based on a MoS2/SWCNTs compositeas a sensing material for the dual detection of N,N-dimethylformamide (DMF) and ammonia (NH3) at room temperature. MoS2 supports SWCNTs by providinga superhydrophobic surface and imparting environmental stability alongwith an increased specific surface area. The composite-based sensorwith 4 wt % SWCNTs enabled dual detection of DMF and NH3 down to 0.1 and 1 ppm, respectively, under ambient conditions. Uponexposure to 5 ppm DMF (response approximate to 15%), this sensor exhibitedp-type conduction with response and recovery times of 160 and 140s, respectively, whereas, with 5 ppm of NH3 (response approximate to 25%,n-type), these times were 126 and 35 s, respectively. Moreover, thecomposite sensor exhibited high selectivity against various oxidizingand reducing agents as well as good repeatability, long-term stability,and fast reversibility in varied gas atmospheres. We attribute thisenhanced sensing performance to the formation of numerous p-ninterfaces and synergy between the two nanomaterials. This improvescharge transport and leads to a faster response. The experimentalwork was supplemented by a machine learning-based principal componentanalysis (PCA) model, which enabled us to identify key dependent variablesand confirm the sensor's dual selectivity. These results providea platform for developing next-generation gas sensors for diversepotential gas-sensing applications.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.7
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available