Study of Synthesis and Performance of Clay and Clay-Manganese Monoliths for Mercury Ion Removal from Water

Author:

Chairunnisak Aula1,Darmadi Darmadi1,Adisalamun Adisalamun1,Yusuf Mukramah1,Mukhtar Syawaliah1,Safitri Ulfa Rijal1,Shafira Opie Azza1

Affiliation:

1. Department of Chemical Engineering, Faculty of Engineering, Universitas Syiah Kuala, Aceh, Indonesia

Abstract

The pollution caused by mercury (Hg) is a matter of concern regarding worldwide ecosystems and public health. It is dangerous as it is highly poisonous and has more ways to get exposed than other heavy metal ions. Recently, the application of biomaterials with varying structures and designs for mercury adsorption has grown. In this research, clay monoliths (CM) and clay-manganese monoliths (CMM) were synthesized, investigated, and compared regarding their ability to adsorb mercury ions from water to determine the most effective adsorbents. CM and CMM were extruded through a stainless-steel molder with dimensions of 7 holes, 9 mm in radius, and 20 mm in height. The surface morphologies of both adsorbents were characterized using infrared (IR) spectroscopy and scanning electron microscopy (SEM). The effects of contact time (40, 80, 120, 160, 200, and 240 minutes) and initial concentrations (3–5 mg/L) were applied to evaluate both adsorption processes. The experiment was conducted in a batch reactor using a monolithic adsorbent that operated for 240 minutes. The experimental equilibrium data of the adsorption were examined with Langmuir and Freundlich models to find the best-fit isotherm. In the kinetic study, the pseudo-first-order was investigated in both linear and nonlinear models. The adsorption results showed that CMM had the highest adsorption efficiency (42.7%). The equilibrium study concluded that the Langmuir was the most significant isotherm model. The highest monolayer capacity and Langmuir constants (KL and aL) were 0.396, 1.329, and 0.396, respectively. The adsorption of both adsorbents was well displayed in the pseudo-first-order non-linear model. Experiments and processed data compromise the finding that CMM is more effective than CM at adsorbing mercury ions.

Funder

Universitas Syiah Kuala

Publisher

Institute of Research and Community Services Diponegoro University (LPPM UNDIP)

Subject

General Medicine

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3