Atmospheric-pressure plasma-enhanced chemical vapor deposition of microporous silica membranes for gas separation
書誌事項
- 公開日
- 2017-02
- 資源種別
- journal article
- 権利情報
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- https://www.elsevier.com/tdm/userlicense/1.0/
- https://www.elsevier.com/legal/tdmrep-license
- http://www.elsevier.com/open-access/userlicense/1.0/
- https://doi.org/10.15223/policy-017
- https://doi.org/10.15223/policy-037
- https://doi.org/10.15223/policy-012
- https://doi.org/10.15223/policy-029
- https://doi.org/10.15223/policy-004
- DOI
-
- 10.1016/j.memsci.2016.11.067
- 公開者
- Elsevier BV
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説明
Abstract Microporous silica membranes with high permselectivity are fabricated by atmospheric-pressure plasma-enhanced chemical vapor deposition (AP-PECVD) using hexamethyldisiloxane as the precursor in plasma working gases of pure argon, and mixture of argon with oxygen or nitrogen. A silica membrane grown using plasma composed of a mixture of argon and nitrogen displays highly efficient gas separation, with selectivities for He/N 2 and He/SF 6 of 196 and 820, respectively, and He permeance of 1.1×10 −7 mol m −2 s −1 Pa −1 at 50 °C. Characterization of the membranes by FTIR and X-ray photoelectron spectroscopies reveals a relatively high concentration of carbon remains in the membrane grown using a mixture of argon and nitrogen. Annealing at elevated temperature after plasma deposition improves the permselectivity of the membranes. After annealing at 300 °C, the permeance of He at 50 °C increased to 4.0×10 -7 mol m -2 s -1 Pa -1 with no marked decrease of selectivity (He/N 2 =98, He/SF 6 =770). The annealed membrane also exhibits remarkable permselectivity for CO 2 , showing selectivities for CO 2 /N 2 and CO 2 /CH 4 of 46 and 166, respectively, with CO 2 permeance of 1.9×10 -7 mol m -2 s -1 Pa -1 at 50 °C. AP-PECVD shows great promise to fabricate microporous silica membranes highly permselective for gas separation.
収録刊行物
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- Journal of Membrane Science
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Journal of Membrane Science 524 644-651, 2017-02
Elsevier BV
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詳細情報 詳細情報について
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- CRID
- 1360004232369375488
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- ISSN
- 03767388
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- 資料種別
- journal article
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- データソース種別
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- Crossref
- KAKEN
- OpenAIRE
