Suppr超能文献

一种用于合成角状碳纳米管的脱氯途径及其对 CO2、CH4、CO 和 N2 的吸附性能。

A dechlorination pathway for synthesis of horn shaped carbon nanotubes and its adsorption properties for CO2, CH4, CO and N2.

机构信息

Discipline of Inorganic Materials and Catalysis, Central Salt & Marine Chemicals Research Institute, Council of Scientific & Industrial Research (CSIR), G B Marg, Bhavnagar, Gujarat, India.

出版信息

J Hazard Mater. 2012 Aug 15;227-228:317-26. doi: 10.1016/j.jhazmat.2012.05.062. Epub 2012 May 27.

Abstract

Using metallic copper as reductant and tetrachloroethylene as carbon precursor, a simple, low temperature solvothermal method for the synthesis of horn shaped carbon nanotubes is reported. The detail study of reaction parameters such as temperature, time, carbon precursor amount, type and catalyst proportion has been carried out to optimize the conditions wherein that the copper metal (10 g) mediated reduction of tetrachloroethylene (25 mL) at 200°C for 5h resulted in the horn shaped carbon nanotubes with high yield and structural selectivity. The adsorption properties of horn shaped carbon nanotubes were investigated for carbon dioxide, methane, carbon monoxide and nitrogen as adsorbate by volumetric measurements up to 850 mm Hg. The prepared horn shaped carbon nanotubes showed good adsorption capacity for CO(2) (45 cm(3)/g) and CO (17 cm(3)/g), at 303 K and 850 mm Hg pressure, with high equilibrium selectivity (73.3 for CO(2) and 110.7 for CO at 318 K) and capacity selectivity (9.1 for CO(2) and 3.1 for CO at 850 mm Hg and 318 K) over nitrogen which provides the tool for the separation of CO(2) from its mixture with nitrogen observed in flue gas of thermal power plants and boilers, as well as with CO such as syngas.

摘要

以金属铜为还原剂,四氯乙烯为碳前驱体,采用简单的低温溶剂热法合成了角状碳纳米管。详细研究了反应参数,如温度、时间、碳前驱体的量、类型和催化剂比例,以优化条件。在 200°C 下,铜金属(10 g)介导的四氯乙烯(25 mL)还原 5 h 可得到具有高产率和结构选择性的角状碳纳米管。通过体积测量研究了角状碳纳米管对二氧化碳、甲烷、一氧化碳和氮气的吸附性能,吸附剂的压力可达 850 mm Hg。在 303 K 和 850 mm Hg 的压力下,所制备的角状碳纳米管对 CO(2)(45 cm(3)/g)和 CO(17 cm(3)/g)表现出良好的吸附能力,在 318 K 时具有高的平衡选择性(CO(2)为 73.3,CO 为 110.7)和容量选择性(CO(2)为 9.1,CO 为 3.1),对氮具有很高的选择性,这为从热电厂和锅炉烟道气以及合成气中分离 CO(2)提供了一种手段。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验