2016
DOI: 10.1016/j.jallcom.2016.04.257
|View full text |Cite
|
Sign up to set email alerts
|

Methanol sensing properties of honeycomb-like SnO2 grown on silicon nanoporous pillar array

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

0
8
0

Year Published

2016
2016
2021
2021

Publication Types

Select...
7
1

Relationship

0
8

Authors

Journals

citations
Cited by 28 publications
(8 citation statements)
references
References 50 publications
0
8
0
Order By: Relevance
“…Apart from hierarchical nanostructures, diverse shaped nanostructures were also used in volatile alcohols identification. Honeycomb-like SnO 2 -Si-NPA nanostructure, rambutan-like SnO 2 hierarchical nanostructure, ZnO nano-tetrapods, raspberry-like SnO 2 hollow nanostructure, snowflake-like SnO 2 hierarchical architecture, sea cucumber-like indium tungsten oxide, hollow Pentagonal-Cone-Structured SnO 2 architecture, and neck-connected nanostructure film of ZIF-8 derived ZnO were proposed in the detection of alcohols as noted in Table 2 [ 225 , 226 , 227 , 228 , 229 , 230 , 231 , 232 ]. These materials were synthesized by solvothermal, hydrothermal, thermal-annealing, calcination, or CVD tactics.…”
Section: Alcoholic Vapor Detection By Miscellaneous Nanostructuresmentioning
confidence: 99%
“…Apart from hierarchical nanostructures, diverse shaped nanostructures were also used in volatile alcohols identification. Honeycomb-like SnO 2 -Si-NPA nanostructure, rambutan-like SnO 2 hierarchical nanostructure, ZnO nano-tetrapods, raspberry-like SnO 2 hollow nanostructure, snowflake-like SnO 2 hierarchical architecture, sea cucumber-like indium tungsten oxide, hollow Pentagonal-Cone-Structured SnO 2 architecture, and neck-connected nanostructure film of ZIF-8 derived ZnO were proposed in the detection of alcohols as noted in Table 2 [ 225 , 226 , 227 , 228 , 229 , 230 , 231 , 232 ]. These materials were synthesized by solvothermal, hydrothermal, thermal-annealing, calcination, or CVD tactics.…”
Section: Alcoholic Vapor Detection By Miscellaneous Nanostructuresmentioning
confidence: 99%
“…), which play a crucial role for the effective detection of (bio)molecules. Mainly, MOx nanolayers/nanoparticles can be deposited over a nano-Si surface through the following techniques: (i) RF and DC magnetron sputtering [24,34,36,37,120,121,123,124,125,126]; (ii) sol–gel/hydrothermal synthesis + spin coating [17,26,127,128,129,130,131]; (iii) drop casting technique + pulsed laser ablation in liquid [132]; (iv) vapor–liquid–solid growth and chemical vapor deposition [25,40,133]; (v) catalytic immersion method [134]; and (vi) electrochemical and chemical deposition [35,122,135].…”
Section: (Bio)sensors Based On Nano-si and Metals Oxides Nanocompomentioning
confidence: 99%
“…It has been ascertained that silicon/MOx nanocomposites are widely used for gas detection through the I–V curve characterization [136], resistance [24,34,35,37,39,120,121,122,124,125,126,129,131,133,135,137,138], and capacitance [25,40] measurements. Generally, the main gas sensing mechanism is based on oxygen adsorption on the nano-Si/ MOx surface, causing electron extraction from the conductive band of semiconductors.…”
Section: (Bio)sensors Based On Nano-si and Metals Oxides Nanocompomentioning
confidence: 99%
See 1 more Smart Citation
“…Ji et al investigated the high-performance methanol sensor based on GaN nanostructures grown on a silicon nanoporous pillar array and gained the high gas sensing performance at the operating temperature of 350 °C [2]. Wang et al reported methanol sensing properties of honeycomb-like SnO 2 grown on a silicon nanoporous pillar array and showed the quick response properties at the operating temperature of 320 °C [3]. Although the above scientists have made an excellent progress, the high working temperature and cost sufficiently restrict the application of sensor, which motivates us to fabricate a high methanol performance gas sensor working at low temperature and prepared via a simple and low-cost synthetic method.…”
Section: Introductionmentioning
confidence: 99%