A-site non-stoichiometric defects engineering in Pt-LaFeSnO hollow nanofiber for high-performance formaldehyde sensor
Artificially inducing abundant oxygen vacancies in perovskite-structured materials is an effective method to improve sensing activity. In this work, we prepared a highly sensitive and stable La 0.9 Fe 0.75 Sn 0.25 O 3− δ hollow nanofiber by introducing A-site cation defects in LaFeO 3 by electrostat...
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Veröffentlicht in: | Journal of materials chemistry. C, Materials for optical and electronic devices Materials for optical and electronic devices, 2022-12, Vol.1 (47), p.1797-17916 |
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Zusammenfassung: | Artificially inducing abundant oxygen vacancies in perovskite-structured materials is an effective method to improve sensing activity. In this work, we prepared a highly sensitive and stable La
0.9
Fe
0.75
Sn
0.25
O
3−
δ
hollow nanofiber by introducing A-site cation defects in LaFeO
3
by electrostatic spinning technique, then combined with a water bath method to uniformly load the surface of La
0.9
Fe
0.75
Sn
0.25
O
3−
δ
with well dispersed
x
Pt (
x
= 0, 0.5%, 1%, and 1.5%, 2%) elements. Compared with La
0.9
Fe
0.75
Sn
0.25
O
3−
δ
without Pt modification, the
x
Pt-La
0.9
Fe
0.75
Sn
0.25
O
3−
δ
sensing materials exhibited an excellent response to formaldehyde and greatly improved the overall performance of the sensing electrode, especially 1.5%Pt-La
0.9
Fe
0.75
Sn
0.25
O
3−
δ
, achieving a response of 137 for 10 ppm formaldehyde at 160 °C, which is a significant improvement compared to the intrinsic LaFeO
3
. The improved gas-sensitive achievement is based on the abundant oxygen vacancies induced by the A-site cation defect, the large specific surface area, and the high catalytic activity of Pt(O) elements. This strategy of inducing abundant oxygen vacancies by artificially creating A-site cation defects and modifying noble metals can be used to develop more advanced and novel sensing electrodes.
Artificially inducing abundant oxygen vacancies in perovskite-structured materials is an effective method to improve sensing activity. |
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ISSN: | 2050-7526 2050-7534 |
DOI: | 10.1039/d2tc04185e |