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利用氢键、静电和π-π相互作用增强的锌-碳电池衍生氧化石墨烯从水溶液中高效去除环丙沙星。

Efficient removal of ciprofloxacin from aqueous solution using Zn-C battery derived graphene oxide enhanced by hydrogen bonding, electrostatic and π-π interaction.

作者信息

Yasmin Sabina, Azam Md Golam, Hossain Md Sanwar, Akhtar Umme Sarmeen, Kabir Md Humayun

机构信息

Institute of National Analytical Research and Service (INARS), Bangladesh Council of Scientific and Industrial Research (BCSIR), Dhanmondi, Dhaka, 1205, Bangladesh.

Institute of Glass and Ceramic Research and Testing (IGCRT), Bangladesh Council of Scientific and Industrial Research (BCSIR), Dhanmondi, Dhaka, 1205, Bangladesh.

出版信息

Heliyon. 2024 Jun 21;10(12):e33317. doi: 10.1016/j.heliyon.2024.e33317. eCollection 2024 Jun 30.

DOI:10.1016/j.heliyon.2024.e33317
PMID:39022076
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11253669/
Abstract

In this study, graphene oxide (GO) derived from waste Zinc-Carbon (Zn-C) batteries was proposed for the efficient removal of antibiotics from the aqueous solution. Ciprofloxacin (CIP) antibiotic was selected as a typical contaminants. GO was prepared via an economical and environment-friendly route by using carbon rods from waste Zn-C batteries as the precursor. Characterization techniques were applied to determine the properties of as prepared GO. Effects of pH, contact time, and adsorbent dose on the adsorption were explored, and an optimum condition was established. Adsorption equilibrium was established in just 20 min for maximum removal of CIP (99.0%) at pH 5.7 for the adsorbent dose of 20 mg L and at the initial concentration of CIP 2.0 mg L. The rapid and efficient removal of CIP was greatly influenced by the electrostatic attractions, pi-pi interactions and hydrogen bonding on the surface and edge of GO which was also proved by density functional theory (DFT). Langmuir model showed the best fit among the isotherm models and the calculated maximum adsorption capacity (q) was 419.62 mg g at 30°C. The kinetic studies also revealed that the adsorption process followed the pseudo-second-order model. The endothermic and spontaneous nature of adsorption was evaluated in thermodynamic studies.

摘要

在本研究中,提出了一种利用废旧锌碳(Zn-C)电池衍生的氧化石墨烯(GO)从水溶液中高效去除抗生素的方法。选择环丙沙星(CIP)抗生素作为典型污染物。以废旧锌碳电池的碳棒为前驱体,通过经济环保的路线制备了GO。应用表征技术确定所制备GO的性能。探讨了pH值、接触时间和吸附剂剂量对吸附的影响,并确定了最佳条件。对于20 mg L的吸附剂剂量和2.0 mg L的CIP初始浓度,在pH 5.7时,仅需20分钟即可建立吸附平衡,实现CIP的最大去除率(99.0%)。GO表面和边缘的静电引力、π-π相互作用和氢键对CIP的快速高效去除有很大影响,密度泛函理论(DFT)也证明了这一点。在等温线模型中,Langmuir模型拟合效果最佳,在30°C下计算得到的最大吸附容量(q)为419.62 mg g。动力学研究还表明,吸附过程遵循准二级模型。热力学研究评估了吸附的吸热和自发性质。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/387b/11253669/9e1d4423e11f/gr8.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/387b/11253669/2b9b3db77b58/ga1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/387b/11253669/01c772511739/sc1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/387b/11253669/6928bf823049/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/387b/11253669/382b2553ca22/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/387b/11253669/3e6c57881f13/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/387b/11253669/2abc29913070/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/387b/11253669/ae6a55c14448/gr5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/387b/11253669/7ffd7b458dff/gr6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/387b/11253669/898ea0651be5/gr7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/387b/11253669/9e1d4423e11f/gr8.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/387b/11253669/2b9b3db77b58/ga1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/387b/11253669/01c772511739/sc1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/387b/11253669/6928bf823049/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/387b/11253669/382b2553ca22/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/387b/11253669/3e6c57881f13/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/387b/11253669/2abc29913070/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/387b/11253669/ae6a55c14448/gr5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/387b/11253669/7ffd7b458dff/gr6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/387b/11253669/898ea0651be5/gr7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/387b/11253669/9e1d4423e11f/gr8.jpg

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