Efficient Formaldehyde Gas Sensing Performance via Promotion of Oxygen Vacancy on In-Doped LaFeO3 Nanofibers

Perovskite oxide LaFeO<sub>3</sub>(LFO) emerges as a potential candidate for formaldehyde (HCHO) detection due to its exceptional electrical conductivity and abundant active metal sites. However, the sensitivity of the LFO sensor needs to be further enhanced. Herein, a series of La<sub>x</sub>In<sub>1-x</sub>FeO<sub>3</sub> (x = 1.0, 0.9, 0.8, and 0.7) nanofibers (L<sub>x</sub>In<sub>1-x</sub>FO NFs) with different ratios of La/In were obtained via the electrospinning method followed by a calcination process. Among all these L<sub>x</sub>In<sub>1-x</sub>FO NFs sensors, the sensor based on the L<sub>0.8</sub>In<sub>0.2</sub>FO NFs possessed the maximum response value of 18.8 to 100 ppm HCHO at the operating temperature of 180 °C, which was 4.47 times higher than that based on pristine LFO NFs (4.2). Furthermore, the L<sub>0.8</sub>In<sub>0.2</sub>FO NFs sensor also exhibited a rapid response/recovery time (2 s/22 s), exceptional repeatability, and long-term stability. This excellent gas sensing performance of the L<sub>0.8</sub>In<sub>0.2</sub>FO NFs can be attributed to the large number of oxygen vacancies induced by the replacement of the A-site La<sup>3+</sup> by In<sup>3+</sup>, the large specific surface area, and the porous structure. This research presents an approach to enhance the HCHO gas sensing capabilities by adjusting the introduced oxygen vacancies through the doping of A-sites in perovskite oxides.

Authors

Institutions

Publication Details

Journal
Nanomaterials
Published
2024-10-02
DOI
https://doi.org/10.3390/nano14191595
Citations
5
Primary Topic
Gas Sensing Nanomaterials and Sensors
Type
article
Field-Weighted Citation Impact
1.04

Funders

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

Efficient Formaldehyde Gas Sensing Performance via Promotion of Oxygen Vacancy on In-Doped LaFeO3 Nanofibers

Jiaxin Zhang, Jianwei Liu, Jianan Wang, Wei Yan et al.
5 citations
Nanomaterials
Gas Sensing Nanomaterials and Sensors
1.04
article

Efficient Formaldehyde Gas Sensing Performance via Promotion of Oxygen Vacancy on In-Doped LaFeO3 Nanofibers

Jiaxin Zhang, Jianwei Liu, Jianan Wang, Wei Yan, Lei Zhu, Wei Zhao
article en
5 citations

Abstract

Perovskite oxide LaFeO<sub>3</sub>(LFO) emerges as a potential candidate for formaldehyde (HCHO) detection due to its exceptional electrical conductivity and abundant active metal sites. However, the sensitivity of the LFO sensor needs to be further enhanced. Herein, a series of La<sub>x</sub>In<sub>1-x</sub>FeO<sub>3</sub> (x = 1.0, 0.9, 0.8, and 0.7) nanofibers (L<sub>x</sub>In<sub>1-x</sub>FO NFs) with different ratios of La/In were obtained via the electrospinning method followed by a calcination process. Among all these L<sub>x</sub>In<sub>1-x</sub>FO NFs sensors, the sensor based on the L<sub>0.8</sub>In<sub>0.2</sub>FO NFs possessed the maximum response value of 18.8 to 100 ppm HCHO at the operating temperature of 180 °C, which was 4.47 times higher than that based on pristine LFO NFs (4.2). Furthermore, the L<sub>0.8</sub>In<sub>0.2</sub>FO NFs sensor also exhibited a rapid response/recovery time (2 s/22 s), exceptional repeatability, and long-term stability. This excellent gas sensing performance of the L<sub>0.8</sub>In<sub>0.2</sub>FO NFs can be attributed to the large number of oxygen vacancies induced by the replacement of the A-site La<sup>3+</sup> by In<sup>3+</sup>, the large specific surface area, and the porous structure. This research presents an approach to enhance the HCHO gas sensing capabilities by adjusting the introduced oxygen vacancies through the doping of A-sites in perovskite oxides.

NanomaterialsVol. 14(19)
Xi'an University of Science and Technology (CN), Weinan Normal University (CN), Xi'an Jiaotong University (CN)
National Natural Science Foundation of China, China Postdoctoral Science Foundation, Natural Science Foundation of Shaanxi Province, Education Department of Shaanxi Province, Shaanxi Province Postdoctoral Science Foundation
Openalex Percentile: Top 23%
Gas Sensing Nanomaterials and Sensors
1.04
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.