吸附
朗缪尔吸附模型
可重用性
石墨烯
X射线光电子能谱
环境修复
化学工程
化学
柴油
傅里叶变换红外光谱
环境化学
材料科学
核化学
纳米技术
污染
有机化学
计算机科学
工程类
生物
程序设计语言
生态学
软件
作者
Jyoti Sharma,Monika Dubey,Sandip Chakrabarti,S. K. Srivastava,Yogendra Kumar Mishra,Amit Bhatnagar,Subhasha Nigam,Monika Joshi
出处
期刊:ChemNanoMat
[Wiley]
日期:2023-05-11
卷期号:9 (7)
被引量:4
标识
DOI:10.1002/cnma.202300093
摘要
Abstract In this work, nitrogen‐doped graphene nanosheets (NGS) were synthesized to remove diclofenac sodium (DFS) from water. The NGS exhibited 99.8 % removal efficiency, adsorption capacity of 278 mg g −1 for DFS within 30 min, and excellent reusability up to 5 cycles of adsorption. The experimental data fit well with pseudo‐second order kinetic model and Langmuir isotherm model. X‐ray photoelectron spectroscopy (XPS) and FTIR studies revealed that the carboxylic group, triazine group, graphitic‐N, and pyridinic‐N groups were involved in the adsorption of DFS. The adaptive neuro‐fuzzy inference system (ANFIS) was modeled for accurate prediction of optimizing parameters for the maximum adsorptive removal (%) of DFS by NGS. A subsequent cytotoxicity assay of NGS on a green alga Chlamydomonas sp. signified non‐toxic nature. This study suggests NGS to be a promising economic adsorbent for water remediation in resource‐poor environments to fulfill “UN‐Sustainable Development Goal‐ 6”.
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