Kinetics study of biologically remediated crude oil polluted soil using a bacteria and fungi

Author:

Ojewumi M. E.,Anenih V.E.,Alagbe E.E.,Oyeniyi E.A

Abstract

Abstract The effectiveness of remediating soils polluted with crude and treated hydrocarbon oil using a fungi - Aspergillus niger, bacteria - Pseudomonas aeruginosa and the combination of the two were investigated and the first order kinetics were studied. Eight systems of 500g soil sample were polluted with both raw and treated crude oil. Four systems were polluted with 100 ml treated crude oil while other remaining systems with same quantity of raw crude oil. Two systems with raw and treated crude oil were left as control (RCC and TCC). Samples of soil polluted with raw crude oil were amended with A. niger (RCA) and P. aeruginosa (RCP) respectively, while treated crude samples were also treated with same (TCA) and (TCP) only. The last two systems were treated with both P. aeruginosa and A. niger (RCAP and TCAP). First order bioremediation kinetics and biostimulant efficiency for these systems were studied by monitoring Total Petroleum Hydrocarbon (TPH). The result obtained at the end of the bioremediation period, revealed that treated crude oil polluted soil remediate faster and better than raw crude oil polluted soil. The highest level of bioremediation occurred in systems amended with both A. niger and P. aeruginosa which had about 98 % TPH decrease.

Publisher

IOP Publishing

Subject

General Physics and Astronomy

Reference37 articles.

1. In Situ Bioremediation of Crude Petroleum Oil Polluted Soil Using Mathematical Experimentation;Ojewumi;International Journal of Chemical Engineering,2017

2. Alkaline Pre-Treatment and Enzymatic Hydrolysis of Waste Papers to Fermentable Sugar;Ojewumi;Journal of Ecological Engineering,2018

3. Bioremediation: Data on Pseudomonas aeruginosa Effects on the Bioremediation of Crude Oil Polluted Soil;Ojewumi;Data in Brief,2018

4. A suitable model to describe bioremediation of a petroleum-contaminated soil;Pala,2006

5. Data on the rheological behavior of cassava starch paste using different models;Ojewumi;Data in Brief,2018

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