Optimization of Process for Removal of Fe-Cu from Wastewater with Biodegradable Adsorbent

Author:

Rane Nitin M.1,Shewale Sandeep P.2

Affiliation:

1. School of Chemical Engineering, MIT Academy of Engineering, Alandi, Pune, India

2. School of Chemical Engineering, MIT Academy of Engineering, Alandi, Pune, India.

Abstract

Background: Optimization of a process for removing Fe-Cu from wastewater with biodegradable adsorbents. Objective: The objective of the study is to remove copper ions from wastewater. The use of low-cost adsorbents was investigated as a replacement to the conventional methods of removing heavy metals from an aqueous solution. Methods: Removal of copper (II) from an aqueous solution by the adsorbent made from the jackfruit peels was investigated and analyzed with the help of UV-spectroscopy. The conventional methods of treatment for heavy metal contamination include chemical precipitation, chemical oxidation, ion exchange, reverse osmosis, membrane separation, electrodialysis, and so on. These techniques are very costly, require energy in huge quantities, and generate toxic byproducts. On the other hand, adsorption has been investigated as a cost-effective method for the removal of heavy metals from wastewater. The equilibrium adsorption level was determined as a function of particle size, adsorbent doses, and variable concentration of metal ion solution. Adsorption isotherms of Cu (II) on adsorbents have been decided and correlated with isotherm equations that include Langmuir and Freundlich models. Results: From the experiment, the maximum percentage of copper removed is 84.30%, and the maximum adsorption capacity is 11.24 mg/g for particle size of 0.212 mm, 30.98 mg/g for 1 gram of adsorbent dose and 5.23 mg/g for 300 ppm of concentration of metal ion solution. Conclusion: The adsorbent made from the jackfruit peels is more effective for removing copper from aqueous solutions emitted from the industrial wastes and can prove to be the best alternative to the conventional method.

Publisher

Bentham Science Publishers Ltd.

Subject

General Chemical Engineering

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