A Highly Sensitive Toluene Gas Sensor Based on Pd/PdO Decorated SnO<sub>2</sub> Prepared by Electrospinning

Lung cancer is the most commonly diagnosed cancer and is the leading cause of death worldwide. Recently, the diagnosis of diseases using the exhaled breath analysis method has attracted more and more attention. Although the breath diagnosis of lung cancer has already been realized using organic (carbon) material based gas sensor arrays, more stable and more sensitive metal oxide semiconductor based gas sensors applied to lung cancer diagnosis are still needed. Toluene is one of the main biomarkers of lung cancer in exhaled breath. The concentration difference in breath toluene between lung cancer patients and healthy people is about 50 ppb. Here, we have fabricated an ultrasensitive toluene gas sensor based on Pd/PdO decorated SnO2 nanofibers prepared by electrospinning. It has a detection limit of 50 ppb at the optimal operating temperature of 285 °C, which meets the detection limit requirement for the lung cancer diagnosis. The sensor has good linear response, repeatability, selectivity (toward 20 kinds of common VOCs), long-term stability (>105 days), and batch-to-batch reproducibility, where 10 sensors fabricated from 10 different batches of sensing materials have almost the same gas sensing performance. It also has a good discrimination ability toward the ppb level of toluene contained in the breath, which is verified by using the breath as the diluting background gas. The sensor has great potential to be used in the breath diagnosis of lung cancer.

Authors

Institutions

Publication Details

Journal
ACS Applied Electronic Materials
Published
2024-08-12
DOI
https://doi.org/10.1021/acsaelm.4c00951
Citations
8
Primary Topic
Gas Sensing Nanomaterials and Sensors
Type
article
Field-Weighted Citation Impact
1.67

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A Highly Sensitive Toluene Gas Sensor Based on Pd/PdO Decorated SnO2 Prepared by Electrospinning

Xiaoyu You, Peisi Yin, Xin Zhao, Qiang Jing et al.
8 citations
ACS Applied Electronic Materials
Gas Sensing Nanomaterials and Sensors
1.67
article

A Highly Sensitive Toluene Gas Sensor Based on Pd/PdO Decorated SnO2 Prepared by Electrospinning

Xiaoyu You, Peisi Yin, Xin Zhao, Qiang Jing, Jiacong Xu, Chengyi Gong, Bo Liu, Kai Zhang, Meng Chen, Xingyu Liu, Yongqi Yang, Zhipeng Tang, Fei Song, Shanshan Yu, Huaian Fu, Xiangmin Du
article en
8 citations

Abstract

Lung cancer is the most commonly diagnosed cancer and is the leading cause of death worldwide. Recently, the diagnosis of diseases using the exhaled breath analysis method has attracted more and more attention. Although the breath diagnosis of lung cancer has already been realized using organic (carbon) material based gas sensor arrays, more stable and more sensitive metal oxide semiconductor based gas sensors applied to lung cancer diagnosis are still needed. Toluene is one of the main biomarkers of lung cancer in exhaled breath. The concentration difference in breath toluene between lung cancer patients and healthy people is about 50 ppb. Here, we have fabricated an ultrasensitive toluene gas sensor based on Pd/PdO decorated SnO2 nanofibers prepared by electrospinning. It has a detection limit of 50 ppb at the optimal operating temperature of 285 °C, which meets the detection limit requirement for the lung cancer diagnosis. The sensor has good linear response, repeatability, selectivity (toward 20 kinds of common VOCs), long-term stability (>105 days), and batch-to-batch reproducibility, where 10 sensors fabricated from 10 different batches of sensing materials have almost the same gas sensing performance. It also has a good discrimination ability toward the ppb level of toluene contained in the breath, which is verified by using the breath as the diluting background gas. The sensor has great potential to be used in the breath diagnosis of lung cancer.

ACS Applied Electronic Materials
Shandong University of Technology (CN)
Natural Science Foundation of Shandong Province
Openalex Percentile: Top 16%
Gas Sensing Nanomaterials and Sensors
1.67
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.