Pd-Loaded MoS<sub>2</sub> Nanoflowers for Enhanced Room-Temperature Methanol Sensing

The rapid increase in environmental pollution has created a critical need for the highly sensitive detection of volatile organic compounds (VOCs). These compounds play a vital role across various sectors, spanning industries, such as healthcare, environmental surveillance, as well as the food and agriculture sectors. Pristine MoS2 and (1%, 2%, and 4%) Pd-loaded MoS2 are produced through a simple hydrothermal synthesis technique. Surface morphology, crystal structure, elemental composition, and surface area were thoroughly analyzed. The sensing performance of the synthesized pristine MoS2 and Pd-loaded MoS2 nanoflowers under dynamic flow gas sensing setup at room temperature has been analysed. The 2% Pd-loaded MoS2 exhibits 6.5 times response (65%) as compare to pristine MoS2 response (10%) to 100-ppm methanol exposure. Furthermore, the 2% Pd-loaded MoS2 sensor exhibits 6.6 ppb of limit of detection (LoD) and 21.7 ppb of limit of qualification (LoQ) values. The fabricated sensor has rapid transient performance having 35 s and 43.2 s response and recovery time, respectively. The fabricated 2% Pd-loaded MoS2 sensor exhibits excellent reproducibility, repeatability, and ultraselective behavior toward methanol gas in order to avoid the interference in the measurement by other gases.

Authors

Institutions

Publication Details

Journal
IEEE Sensors Journal
Published
2024-12-04
DOI
https://doi.org/10.1109/jsen.2024.3506014
Citations
4
Primary Topic
Gas Sensing Nanomaterials and Sensors
Type
article
Field-Weighted Citation Impact
0.83
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Pd-Loaded MoS2 Nanoflowers for Enhanced Room-Temperature Methanol Sensing

Shaibal Mukherjee, Sharath Sriram, Chandrabhan Patel, Sumit Chaudhary et al.
4 citations
IEEE Sensors Journal
Gas Sensing Nanomaterials and Sensors
0.83
article

Pd-Loaded MoS2 Nanoflowers for Enhanced Room-Temperature Methanol Sensing

Shaibal Mukherjee, Sharath Sriram, Chandrabhan Patel, Sumit Chaudhary, Rajour Tanyi Ako, Vikash Kumar, Ajit Yadav, Poonam Bajoria
article en
4 citations

Abstract

The rapid increase in environmental pollution has created a critical need for the highly sensitive detection of volatile organic compounds (VOCs). These compounds play a vital role across various sectors, spanning industries, such as healthcare, environmental surveillance, as well as the food and agriculture sectors. Pristine MoS2 and (1%, 2%, and 4%) Pd-loaded MoS2 are produced through a simple hydrothermal synthesis technique. Surface morphology, crystal structure, elemental composition, and surface area were thoroughly analyzed. The sensing performance of the synthesized pristine MoS2 and Pd-loaded MoS2 nanoflowers under dynamic flow gas sensing setup at room temperature has been analysed. The 2% Pd-loaded MoS2 exhibits 6.5 times response (65%) as compare to pristine MoS2 response (10%) to 100-ppm methanol exposure. Furthermore, the 2% Pd-loaded MoS2 sensor exhibits 6.6 ppb of limit of detection (LoD) and 21.7 ppb of limit of qualification (LoQ) values. The fabricated sensor has rapid transient performance having 35 s and 43.2 s response and recovery time, respectively. The fabricated 2% Pd-loaded MoS2 sensor exhibits excellent reproducibility, repeatability, and ultraselective behavior toward methanol gas in order to avoid the interference in the measurement by other gases.

IEEE Sensors JournalVol. 25(2)
Indian Institute of Technology Indore (IN), RMIT University (AU)
Openalex Percentile: Top 26%
Gas Sensing Nanomaterials and Sensors
0.83
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.