Recently, pharmaceutical pollutants in water have emerged as a global concern as they give threat to human health and the environment. In this study, graphene nanoplatelets (GNPs) were used to efficiently remove antibiotics sulfamethoxazole (SMX) and analgesic acetaminophen (ACM) as pharmaceutical pollutants from water by an adsorption process. GNPs; C750, C300, M15 and M5 were characterized by high-resolution transmission electron microscopy, Raman spectroscopy, X-ray diffraction and Brunauer–Emmett–Teller. The effects of several parameters viz. solution pH, adsorbent amount, initial concentration and contact time were studied. The parameters were optimized by a batch adsorption process and the maximum removal efficiency for both pharmaceuticals was 99%. The adsorption kinetics and isotherms models were employed, and the experimental data were best analysed with pseudo-second kinetic and Langmuir isotherm with maximum adsorption capacity (Q_m) of 210.08 mg g⁻¹ for SMX and 56.21 mg g⁻¹ for ACM. A regeneration study was applied using different eluents; 5% ethanol-deionized water 0.005 M NaOH and HCl. GNP C300 was able to remove most of both pollutants from environmental water samples. Molecular docking was used to simulate the adsorption mechanism of GNP C300 towards SMX and ACM with a free binding energy of −7.54 kcal mol⁻¹ and −5.29 kcal mol⁻¹, respectively, which revealed adsorption occurred spontaneously.

近年来，水中的药物污染物已成为全球关注的问题，因为它们对人类健康和环境构成威胁。在这项研究中，石墨烯纳米片（GNP）用于通过吸附过程有效去除水中的药物污染物抗生素磺胺甲恶唑（SMX）和镇痛药对乙酰氨基酚（ACM）。国民生产总值；C750、C300、M15 和 M5 通过高分辨率透射电子显微镜、拉曼光谱、X 射线衍射和 Brunauer-Emmett-Teller 进行了表征。几个参数的影响即。研究了溶液pH、吸附剂用量、初始浓度和接触时间。通过批量吸附工艺对参数进行优化，两种药物的最大去除效率均为 99%。采用吸附动力学和等温线模型，并用准二级动力学和Langmuir等温线对实验数据进行了最佳分析，SMX的最大吸附容量（Q _m）为210.08 mg g ^-1，ACM的最大吸附容量（Q m ）为56.21 mg g ^-1。使用不同的洗脱液进行再生研究；5% 乙醇-去离子水 0.005 M NaOH 和 HCl。GNP C300 能够从环境水样中去除大部分这两种污染物。采用分子对接模拟了GNP C300对SMX和ACM的吸附机制，自由结合能分别为-7.54 kcal mol ^-1和-5.29 kcal mol ^-1，表明吸附是自发发生的。