Performance of 3D SnO 2 microstructure with porous nanosheets for acetic acid sensing
Materials Letters, ISSN: 0167-577X, Vol: 142, Page: 141-144
2015
- 40Citations
- 21Captures
Metric Options: CountsSelecting the 1-year or 3-year option will change the metrics count to percentiles, illustrating how an article or review compares to other articles or reviews within the selected time period in the same journal. Selecting the 1-year option compares the metrics against other articles/reviews that were also published in the same calendar year. Selecting the 3-year option compares the metrics against other articles/reviews that were also published in the same calendar year plus the two years prior.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Article Description
The porous flower-like SnO 2 was successfully synthesized by a simple hydrothermal strategy and followed by calcination. The well-defined nanoflower was composed of thin nanosheets, which has many pores on its surface. The sensor based on these porous SnO 2 nanoflowers showed excellent selectivity, fast response–recovery capability and high response to acetic acid at 340 °C. The response and recovery time were about 11 s and 6 s, respectively. The enhancement in gas sensing properties was attributed to their unique structures, including the 3D hierarchical structure and porous feature. The present study could be applied to the acetic acid detection.
Bibliographic Details
Elsevier BV
Provide Feedback
Have ideas for a new metric? Would you like to see something else here?Let us know