Suppr超能文献

由荷叶合成的具有高性能染料吸附性能的O-N-S自掺杂分级多孔碳

O-N-S Self-Doped Hierarchical Porous Carbon Synthesized from Lotus Leaves with High Performance for Dye Adsorption.

作者信息

Liu Huan, Xu Chao, Ren Yiming, Tang Dingxing, Zhang Cuige, Li Fang, Wei Xueling, Huo Chaofei, Li Xingyang, Zhang Rongli

机构信息

College of Biological and Chemical Engineering, Anhui Polytechnic University, Wuhu 241000, PR China.

出版信息

ACS Omega. 2020 Oct 14;5(42):27032-27042. doi: 10.1021/acsomega.0c02021. eCollection 2020 Oct 27.

Abstract

Three-dimensional porous carbon was fabricated using lotus leaves as a renewable precursor. The as-synthesized carbon had a high surface area (3601 m/g), suitable O-N-S self-doping, and three-dimensional (3D) architecture with interconnected micro/meso/macropores, together with proper pore size distribution. Consequently, these admirable features endowed porous carbon as a superadsorbent for dye removal with ultrahigh adsorption capacity for rhodamine B (9444.39 mg/g) and reliable cyclability (>97% capacitance retention after 10 cycles). The adsorption of dye onto the as-prepared carbon was a spontaneous endothermic process and followed the pseudo-second-order kinetic model and the Langmuir isotherm model. The π-π stacking, hydrogen bond, and acid-base interactions were proposed to mainly account for the combination of the adsorbate and the adsorbent. Overall, these values indicated the high-performance biomass-derived carbon as a dye adsorbent and may boost the large-scale production and application of 3D hierarchical porous carbon with heteroatom doping in the field of wastewater treatment.

摘要

以荷叶为可再生前驱体制备了三维多孔碳。所合成的碳具有高比表面积(3601 m²/g)、合适的O-N-S自掺杂、具有相互连通的微/介/大孔的三维(3D)结构以及适当的孔径分布。因此,这些优异的特性使多孔碳成为一种用于染料去除的超级吸附剂,对罗丹明B具有超高的吸附容量(9444.39 mg/g)和可靠的循环性(10次循环后电容保留率>97%)。染料在制备的碳上的吸附是一个自发的吸热过程,遵循准二级动力学模型和朗缪尔等温线模型。π-π堆积、氢键和酸碱相互作用被认为是吸附质与吸附剂结合的主要原因。总体而言,这些数据表明高性能生物质衍生碳作为染料吸附剂,并可能推动具有杂原子掺杂的三维分级多孔碳在废水处理领域的大规模生产和应用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/66da/7593998/4bcb59c8609a/ao0c02021_0002.jpg

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验