Performance evaluation and optimization of the treatment of dye laden wastewater using alum and Luffa cylindrica seed extract as coagulant

Author:

Nnaji Patrick C.1ORCID,Emenike Grace A.1,Ume Cyril S.2,Agu Chinedu M.1,Ohanehi Anselem A.1

Affiliation:

1. Department of Chemical Engineering Michael Okpara University Umudike Nigeria

2. Department of Chemical Engineering Alex Ekwueme University Ndufu‐Alikeikwo Ebonyi State Nigeria

Abstract

AbstractThe treatment of dye laden wastewater (DLW) was investigated using alum, and Luffa cylindrica seed extract, . Cibacron green dye and distilled water were used to simulate the DLW in the laboratory. The optimum conditions for the removal of color and chemical oxygen demand (COD) from DLW was determined using both regular and response surface methodology, RSM‐Jar tests with coagulant dosage, DLW pH, stirring time, and temperature as the independent variables. Instrumental characterization of the coagulant and produced sludge were studied. Individual effect using regular Jar test, and had best color removal efficiency of 98.4% (2 g/L, pH 8, 30 min and 55°C), and 97.7% (5 g/L, pH 2, 20 min and 55°C), respectively. Also, for COD removal efficiency, and had 85.6% (2 g/L, pH 10 and 30 min), and 88.1% (4 g/L, pH 4 and 30 min), respectively. Applying RSM‐Jar test, 99.6% and 88.7% color and COD removal efficiency were achieved with 4 g/L , 0.25 g/L , pH 8, and 40°C and 5 g/L , 0.40 g/L , pH 6, and 40°C, respectively. The results indicated that the combination of both coagulants () performed maximally with highly reduced alum dosage, exposing the novelty of the work. Hence, the novelty of the work is the use of minimal quantity of alum and Luffa cylindrica seed extract for effective removal color and COD from the DLW.

Publisher

Wiley

Subject

Management, Monitoring, Policy and Law,Public Health, Environmental and Occupational Health,Pollution,Waste Management and Disposal

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

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