SnO<sub>2</sub> quantum dots dispersed TGCN nanosheets for improved ethanol sensing under ambient conditions

Abstract This study investigates ethanol sensing properties of a hybrid sensing material prepared by mechano-mixing of tin oxide (SnO 2 ) quantum dots (SQDs) and template-free graphitic carbon nitride (g-C 3 N 4 ) i.e. TGCN nanosheets (TNSs). Hybrid sensors comprising of various weight ratios of TNSs and SQDs ranging from 1:5 to 1:50 (T-SX where X denotes the proportion of SQDs) were prepared and tested for ethanol vapor sensing under ambient conditions. Structural, thermal, optical, and morphological properties of the hybrid samples were analyzed comprehensively using techniques such as x-ray diffraction (XRD), field-emission scanning electron microscopy (FESEM), transmission electron microscopy (TEM), UV–visible spectroscopy, Fourier transform infrared spectroscopy (FTIR), and Raman microscopy. The results indicate that the SQDs crystallize in rutile crystal structure with an average diameter of ∼ 2.7 nm and are dispersed on the TNSs. The best response and recovery time were observed for T-S20 with a fast response time of 12 ± 3 s and recovery time of 20 ± 3 s under ambient conditions. The hybrid sensor showed a 48% faster response time, and 57% faster recovery time as compared to pure quantum dots. This improvement is attributed to dispersed SQDs on TNSs, optimum bond strength between SQDs and TNSs, surface plasmon states of SQDs, higher surface area of TNSs, catalytic activity of N-atoms and finally the heterojunction formed between SnO 2 quantum dots and TNSs which attracts bipolar hyroxyl group of ethanol vapors under ambient conditions and aids in their faster detection.

Authors

Institutions

Publication Details

Journal
Nano Express
Published
2024-11-28
DOI
https://doi.org/10.1088/2632-959x/ad9852
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

SnO2 quantum dots dispersed TGCN nanosheets for improved ethanol sensing under ambient conditions

Manika Khanuja, Rupali Nagar, Vishal Kamathe, Arun Kumar
Nano Express
Gas Sensing Nanomaterials and Sensors
article

SnO2 quantum dots dispersed TGCN nanosheets for improved ethanol sensing under ambient conditions

Manika Khanuja, Rupali Nagar, Vishal Kamathe, Arun Kumar
article en

Abstract

Abstract This study investigates ethanol sensing properties of a hybrid sensing material prepared by mechano-mixing of tin oxide (SnO 2 ) quantum dots (SQDs) and template-free graphitic carbon nitride (g-C 3 N 4 ) i.e. TGCN nanosheets (TNSs). Hybrid sensors comprising of various weight ratios of TNSs and SQDs ranging from 1:5 to 1:50 (T-SX where X denotes the proportion of SQDs) were prepared and tested for ethanol vapor sensing under ambient conditions. Structural, thermal, optical, and morphological properties of the hybrid samples were analyzed comprehensively using techniques such as x-ray diffraction (XRD), field-emission scanning electron microscopy (FESEM), transmission electron microscopy (TEM), UV–visible spectroscopy, Fourier transform infrared spectroscopy (FTIR), and Raman microscopy. The results indicate that the SQDs crystallize in rutile crystal structure with an average diameter of ∼ 2.7 nm and are dispersed on the TNSs. The best response and recovery time were observed for T-S20 with a fast response time of 12 ± 3 s and recovery time of 20 ± 3 s under ambient conditions. The hybrid sensor showed a 48% faster response time, and 57% faster recovery time as compared to pure quantum dots. This improvement is attributed to dispersed SQDs on TNSs, optimum bond strength between SQDs and TNSs, surface plasmon states of SQDs, higher surface area of TNSs, catalytic activity of N-atoms and finally the heterojunction formed between SnO 2 quantum dots and TNSs which attracts bipolar hyroxyl group of ethanol vapors under ambient conditions and aids in their faster detection.

Nano ExpressVol. 5(4)
Symbiosis International University (IN), Jamia Millia Islamia (IN)
Clean water and sanitation
Openalex Percentile: Top 81%
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.