CO2 capture in lignin-derived and nitrogen-doped hierarchical porous carbons
CO2 capture in lignin-derived and nitrogen-doped hierarchical porous carbons
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DOI：
10.1016/j.carbon.2017.05.088
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发表时间：
2017-09-01
期刊：
影响因子：
10.9
通讯作者：
Henley, Dale K.
中科院分区：
文献类型：
--
作者：
Saha, Dipendu;Van Bramer, Scott E.;Henley, Dale K.
以木质素前驱体为原料，经KOH和NH3活化，合成了氮掺杂的分层多孔碳，其BET比表面积为1631e2922 m(2)/g。x射线光电子能谱（XPS）显示5.6e7.1 at。氮主要具有吡啶、氨基和吡咯/吡啶类功能。在298 K和273 K以及高达760 torr （1 bar）压力下的最大CO2吸附量分别为5.48和8.6 mmol/g，高于文献报道的大多数氮掺杂碳的吸附量。基于理想吸附溶液理论（IAST）的CO2/N-2选择性表明，选择性随氮含量的增加而增加。采用IAST计算二元吸附等温线，模拟混合气体中CO2和N-2吸附随总压和CO2摩尔分数的变化。连续10个循环的CO2吸附和解吸研究表明，所有的氮掺杂碳在循环结束时仍保持其工作能力。最后，在动态柱实验中对（10/90）CO2/N-2混合物进行了突破性的研究，证实了两种组分的物理分离。总体结果表明，木质素中的氮掺杂碳可以作为潜在的吸附剂用于CO2捕获目的。(C) 2017 Elsevier Ltd.版权所有。
Nitrogen-doped and hierarchical porous carbons were synthesized from lignin precursor by KOH and NH3 activation with BET surface area of 1631e2922 m(2)/g. X-ray photoelectron spectroscopy (XPS) revealed 5.6e7.1 at.% nitrogen with predominantly pyridinic, amino and pyrrolic/pyridonic type of functionality. Maximum CO2 adsorption capacity at 298 K and 273 K and pressure upto 760 torr (1 bar) was found to be 5.48 and 8.6 mmol/g respectively, which is higher than that of majority of nitrogendoped carbons, reported in literature. Ideal Adsorbed Solution Theory (IAST)-based selectivity for CO2/N-2 revealed that selectivity increases with the increase in nitrogen content. IAST calculations were also employed to calculate the binary adsorption isotherms to simulate mixed gas adsorption for CO2 and N-2 as a function of total pressure and mole fraction of CO2 in the gas mixture. Continuous CO2 adsorptiondesorption studies for 10 cycles revealed that all the nitrogen-doped carbons retained its working capacity at the end of the cycles. Finally, a breakthrough study for (10/90) CO2/N-2 mixture in a dynamic column experiment confirmed a physical separation of the two components. The overall results suggest that nitrogen-doped carbons from lignin can be used as potential adsorbents for CO2 capture purposes. (C) 2017 Elsevier Ltd. All rights reserved.