Back to Search
Start Over
Rational Integration of SnMOF/SnO 2 Hybrid on TiO 2 Nanotube Arrays: An Effective Strategy for Accelerating Formaldehyde Sensing Performance at Room Temperature.
- Source :
-
ACS sensors [ACS Sens] 2023 Nov 24; Vol. 8 (11), pp. 4189-4197. Date of Electronic Publication: 2023 Oct 23. - Publication Year :
- 2023
-
Abstract
- Formaldehyde is ubiquitously found in the environment, meaning that real-time monitoring of formaldehyde, particularly indoors, can have a significant impact on human health. However, the performance of commercially available interdigital electrode-based sensors is a compromise between active material loading and steric hindrance. In this work, a spaced TiO <subscript>2</subscript> nanotube array (NTA) was exploited as a scaffold and electron collector in a formaldehyde sensor for the first time. A Sn-based metal-organic framework was successfully decorated on the inside and outside of TiO <subscript>2</subscript> nanotube walls by a facile solvothermal decoration strategy. This was followed by regulated calcination, which successfully integrated the preconcentration effect of a porous Sn-based metal-organic framework (SnMOF) structure and highly active SnO <subscript>2</subscript> nanocrystals into the spaced TiO <subscript>2</subscript> NTA to form a Schottky heterojunction-type gas sensor. This SnMOF/SnO <subscript>2</subscript> @TiO <subscript>2</subscript> NTA sensor achieved a high room-temperature formaldehyde response (1.7 at 6 ppm) with a fast response (4.0 s) and recovery (2.5 s) times. This work provides a new platform for preparing alternatives to interdigital electrode-based sensors and offers an effective strategy for achieving target preconcentrations for gas sensing processes. The as-prepared SnMOF/SnO <subscript>2</subscript> @TiO <subscript>2</subscript> NTA sensor demonstrated excellent sensitivity, stability, reproducibility, flexibility, and convenience, showing excellent potential as a miniaturized device for medical diagnosis, environmental monitoring, and other intelligent sensing systems.
Details
- Language :
- English
- ISSN :
- 2379-3694
- Volume :
- 8
- Issue :
- 11
- Database :
- MEDLINE
- Journal :
- ACS sensors
- Publication Type :
- Academic Journal
- Accession number :
- 37870917
- Full Text :
- https://doi.org/10.1021/acssensors.3c01525