▎ 摘　　要

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".