Catalytic synthesis of carbon nanotubes from the decomposition of methane over a Ni–Co/La2O3 catalyst
文献类型：期刊论文
| 作者 | Wang JK(王健康) ; Wang XL(王晓来)
|
| 刊名 | Canadian Journal of Chemistry
 |
| 出版日期 | 2009 |
| 卷号 | 87期号:无期页码:1-7 |
| 关键词 | carbon nanotubes catalytic chemical vapour deposition methane decomposition Ni-Co/La2O3 catalyst |
| ISSN号 | 1480-3291 |
| 通讯作者 | 王晓来 |
| 中文摘要 | The production of multi-walled carbon nanotubes (MWNTs) by the catalytic chemical vapour deposition (CCVD) method was examined over a series of Ni-Co/La2O3 catalysts with methane as the carbon source. The catalyst composition and the reaction conditions were optimized by analyzing the effluent gas with gas chromatography. Various techniques, such as X-ray diffraction (XRD), Transmission electron microscopy (TEM), Raman spectra, and Thermal gravimetric analysis (TGA) were used to characterize the catalysts and products. The results indicate that the unreduced catalyst 30Ni-10Co/La2O3 showed the highest activity for methane decomposition, and the highest carbon yield, being 624.2%, was obtained over this catalyst at 700 °C after 60 min of reaction with hydrogen as carrier gas. TGA results suggest that the purity of carbon nanotubes (CNTs) can reach up to 98 wt% after a single-step purification by hydrochloric acid. |
| 学科主题 | 多相选择氧化 |
| 收录类别 | SCI |
| 语种 | 英语 |
| 公开日期 | 2012-09-21 |
| 源URL | [http://210.77.64.217/handle/362003/602]  |
| 专题 | 兰州化学物理研究所_OSSO国家重点实验室 兰州化学物理研究所_ERC国家工程研究中心 |
| 通讯作者 | Wang XL(王晓来) |
| 推荐引用方式 GB/T 7714 | Wang JK,Wang XL. Catalytic synthesis of carbon nanotubes from the decomposition of methane over a Ni–Co/La2O3 catalyst[J]. Canadian Journal of Chemistry,2009,87(无期):1-7. |
| APA | 王健康,&王晓来.(2009).Catalytic synthesis of carbon nanotubes from the decomposition of methane over a Ni–Co/La2O3 catalyst.Canadian Journal of Chemistry,87(无期),1-7. |
| MLA | 王健康,et al."Catalytic synthesis of carbon nanotubes from the decomposition of methane over a Ni–Co/La2O3 catalyst".Canadian Journal of Chemistry 87.无期(2009):1-7. |
入库方式： OAI收割
来源：兰州化学物理研究所
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