Detection and remediation of heavy metal pollution in seawater using instrumentation and nanomaterials

Author:

Wang Keming1,Wang Chengli2,Jin Wenbing1,Qi Liuming3

Affiliation:

1. School of Internet of Things Technology, Hangzhou Polytechnic, Hangzhou, 311402, Zhejiang, PR China

2. Hangzhou SECK Intelligent Technology Co., Ltd., Hangzhou, 311121, Zhejiang, PR China

3. Hangzhou Institute of Applied Acoustics, Hangzhou, 310012, Zhejiang, PR China

Abstract

This study explores methodologies for removing heavy metal elements such as nickel (Ni), copper (Cu), cadmium (Cd), and lead (Pb) from diverse aquatic environments, including rivers, lakes, and oceans. Nanosized montmorillonite (MON) was used as the raw material and was subjected to organic chemical modification through silanization using cetyltrimethylammonium bromide and grafting of amino groups to produce amino-functionalized nanomontmorillonite composite (NH2-MON). The removal effectiveness of NH2-MON on heavy metal elements in water bodies was evaluated. Experiments involving adsorption were conducted to evaluate the impact of nanomaterial concentration and solution pH on the entrapment of heavy metal ions. The results indicated that an increased nanomaterial adsorbent dosage precipitated water coagulation, which subsequently altered the accessibility of adsorption sites for heavy metal ions, thereby significantly affecting the heavy metal removal effectiveness of the nanomaterial. The ideal nanomaterial dosage was determined to be 2.5 g/L, yielding the maximum unit adsorption capacity and removal rate. The acidity or alkalinity of the solution was instrumental in the adsorption of heavy metal ions such as Ni, Cu, Cd, and Pb using nanomaterials, establishing solution pH as a pivotal determinant in the adsorption process. As the solution pH increased, the electronegativity of the nanomaterial increased, thus encouraging its interaction with positively charged heavy metal ions, including Ni, Cu, Cd, and Pb. The ideal solution pH range was found to be 4–5.

Publisher

American Scientific Publishers

Subject

General Materials Science

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