期刊论文详细信息
Separations
Remediation of Amitriptyline Pharmaceutical Wastewater by Heteroatom-Doped Graphene Oxide: Process Optimization and Packed-Bed Studies
article
Wan Ting Tee1  Jasmine Chua1  Jia En Yong1  Billie Yan Zhang Hiew2  Suyin Gan1  Lai Yee Lee1 
[1] Department of Chemical and Environmental Engineering, University of Nottingham Malaysia;School of Engineering and Physical Sciences, Heriot-Watt University Malaysia
关键词: adsorptive removal;    amitriptyline;    boron-doped graphene;    central composite design;    packed-bed adsorption;   
DOI  :  10.3390/separations10070392
学科分类:社会科学、人文和艺术(综合)
来源: mdpi
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【 摘 要 】

Amitriptyline residue released into the aquatic ecosystem can have detrimental consequences on marine organisms and human wellbeing via consumption of polluted water. With a uniquely large surface area and abundant functionalities, graphene oxide adsorption offers a remediation solution for such water pollution. This study focused on synthesizing a novel graphene-based adsorbent via ice-templating of boron-doped graphene substrate. The batch adsorption performance of the as-synthesized adsorbent was explored by central composite design (CCD), while its potential large-scale application was evaluated with a packed-bed column study. The CCD optimized conditions of 12.5 mg dosage, 32 min adsorption time, 30 °C operating temperature and 70 ppm concentration produced the highest removal efficiency of 87.72%. The results of the packed-bed study indicated that continuous adsorption of amitriptyline was best performed at a graphene bed of 3.5 cm in height, with 100 ppm of the pharmaceutical solution flowing at 2 mL/min. Furthermore, the breakthrough curve was effectively portrayed by the Log Bohart–Adams model. The as-synthesized adsorbent showed a high regeneration potential using ethanol eluent via multiple adsorption–desorption cycles. The results suggest the boron-doped graphene adsorbent in packed-bed as a highly effective system to remediate amitriptyline in an aqueous environment.

【 授权许可】

CC BY   

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