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Selective CO Adsorption Using Sulfur-Doped Ni Supported by Petroleum-based Activated Carbon
Journal of Industrial and Engineering Chemistry ( IF 5.9 ) Pub Date : 2020-03-01 , DOI: 10.1016/j.jiec.2019.11.041
Sunil Kwon , Youngwoo You , Hyungseob Lim , Jinhee Lee , Tae-Sun Chang , Yejin Kim , Hyunjoo Lee , Beom-Sik Kim

Abstract Carbon monoxide (CO) is an important platform compound that can be transformed into various fine chemicals. However, CO manufactured by the conventional methods contains many other gases such as hydrogen, methane, nitrogen and carbon dioxide, and additional separation processes are required to utilize CO as a raw material. The current state-of-the-art techniques for separating CO have problems of high energy consumptions. There are needs for an alternate separation process. In this work, we developed a Ni-based adsorbent supported by petroleum-based activated carbon (PAC, BET > 1300 m2/g). The affinity and capacity for CO were evaluated by CO isotherm and CO temperature-programmed desorption. The selectivity to CO was evaluated by the breakthrough test of multicomponent gases (10% H2, 10% CO, 1% CH4, and 1% CO2 with He balance). Ni/PAC was doped with sulfur to increase the CO adsorption activity, and the sulfur-doped Ni/PAC (Ni/PACS) showed outstanding CO adsorption capacity, which is 9 times higher than that of the sulfur-free Ni/carbon adsorbent (Ni/PAC). The Ni/PACS could recover the CO to over 99% purity from the multicomponent gases. The sulfur-doped Ni/carbon adsorbent showed high affinity, high capacity, and high selectivity for CO separation.

中文翻译:

石油基活性炭负载硫掺杂镍选择性吸附 CO

摘要 一氧化碳(CO)是一种重要的平台化合物,可以转化为各种精细化学品。然而,通过传统方法制造的 CO 含有许多其他气体,如氢气、甲烷、氮气和二氧化碳,并且需要额外的分离过程来利用 CO 作为原料。目前最先进的 CO 分离技术存在能耗高的问题。需要一个替代的分离过程。在这项工作中,我们开发了一种由石油基活性炭(PAC,BET > 1300 m2/g)支撑的镍基吸附剂。通过 CO 等温线和 CO 程序升温解吸来评估对 CO 的亲和力和容量。对 CO 的选择性通过多组分气体(10% H2、10% CO、1% CH4 和 1% CO2 与 He 平衡)的穿透测试进行评估。Ni/PAC掺杂硫以提高CO吸附活性,掺硫Ni/PAC(Ni/PACS)表现出优异的CO吸附能力,比无硫Ni/碳吸附剂高9倍(镍/PAC)。Ni/PACS 可以将多组分气体中的 CO 回收到 99% 以上的纯度。硫掺杂的镍/碳吸附剂对 CO 分离显示出高亲和力、高容量和高选择性。
更新日期:2020-03-01
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