Enhanced triethylamine sensing performance of metal–organic framework derived nest-type Fe-doped NiO nanostructure
Author:
Affiliation:
1. State Key Laboratory of Superhard Materials
2. Jilin University
3. Changchun 130012
4. People's Republic of China
Abstract
The response of our Fe-doped NiO TEA sensor was about 21 times higher than that of the pure sensor. The quick response time and recovery time, good selectivity and stability, and enhanced gas sensing properties could be attributed to Fe-doping.
Funder
National Natural Science Foundation of China
Publisher
Royal Society of Chemistry (RSC)
Subject
Inorganic Chemistry
Link
http://pubs.rsc.org/en/content/articlepdf/2020/QI/D0QI00057D
Reference50 articles.
1. Highly sensitive and low working temperature detection of trace triethylamine based on TiO2 nanoparticles decorated CuO nanosheets sensors
2. Fabrication of 1D Zn2SnO4 nanowire and 2D ZnO nanosheet hybrid hierarchical structures for use in triethylamine gas sensors
3. Highly sensitive and selective triethylamine-sensing properties of nanosheets directly grown on ceramic tube by forming NiO/ZnO PN heterojunction
4. NiO@ZnO Heterostructured Nanotubes: Coelectrospinning Fabrication, Characterization, and Highly Enhanced Gas Sensing Properties
5. Preparation of Flower-like SnO2 Nanostructures and Their Applications in Gas-Sensing and Lithium Storage
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