Isolation & Characterization of Hydrocarbon Degrading Bacteria: A Bio-remedial Approach to Clean-up Oil Spills

溢出 污染物 环境科学 生物修复 生物降解 石油 废物管理 碳氢化合物 污染 能源 制浆造纸工业 环境化学 化石燃料 环境工程 化学 工程类 生物 有机化学 生态学
作者
А. К. Мадан,Sanjeev Kumar,Syed Mohsin Waheed
出处
期刊:Advanced Materials Letters [VBRI Sverige AB]
卷期号:14 (4): 2304-1736
标识
DOI:10.5185/amlett.2023.041736
摘要

Hydrocarbon contamination is one of the major environmental problems due to oil spillage, automobile waste, and other industrial waste. Crude oil is the major source of energy for industrial, agricultural, and domestic use. Indian agriculture is largely dependent upon petroleum-driven technology for power generation, harvesting and post-harvest processing. Oil spillage occurs at oil wells and rigs during the drilling, production, refining, transport, and storage of petroleum. The release and accumulation of hydrocarbons in the environment is the main cause for concern due to the health hazards it poses to all forms of life and the environment. Commonly used approaches involve physical, biological, and chemical methods. Most of the technologies are expensive and not very efficient to deal with recalcitrant pollutants. The present study deals with the bioremediation of crude oil. The study involved the collection of surface soil of the spillage/contaminated area to isolate and identify the oil-degrading bacteria. Bacteria were isolated and grown on MSM-agar medium containing crude oil as a carbon source in Petri-dishes. The isolated strain of bacteria was effective in the biodegradation of oil in 28 days. The samples were analysed using GC-FID which demonstrated efficient degradation of oil by the isolated microbe. The hydrocarbon degraders were identified as Gram-negative cocci bacteria. The isolated bacteria could serve as a cost-effective and efficient alternative for microbial degradation of hydrocarbon pollutants in soil and water in an environmentally friendly and sustainable manner.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
刚刚
JQ发布了新的文献求助10
1秒前
1秒前
sjmrcsj完成签到,获得积分10
2秒前
2秒前
3秒前
4秒前
踏实口红完成签到,获得积分10
4秒前
饭饭饭饭饭完成签到,获得积分10
5秒前
shy完成签到,获得积分10
5秒前
5秒前
诚心晓露发布了新的文献求助10
6秒前
6秒前
哇哇哇发布了新的文献求助10
6秒前
虚幻雨筠发布了新的文献求助10
6秒前
无极微光应助黄玉采纳,获得20
7秒前
胡八一667完成签到 ,获得积分10
8秒前
8秒前
PinKing完成签到 ,获得积分10
8秒前
香蕉觅云应助renxiangao采纳,获得10
8秒前
嘿嘿嘿完成签到,获得积分10
9秒前
Sheldson完成签到,获得积分10
10秒前
zigzag发布了新的文献求助10
10秒前
里里完成签到,获得积分10
11秒前
欣喜柚子发布了新的文献求助10
11秒前
Wz应助舒适若剑采纳,获得10
12秒前
诚心香菇应助简单忆灵采纳,获得10
12秒前
勤奋乞发布了新的文献求助10
12秒前
13秒前
13秒前
13秒前
14秒前
陈糯米完成签到,获得积分20
17秒前
时尚友安发布了新的文献求助10
17秒前
ions完成签到,获得积分10
17秒前
小马甲应助寻空采纳,获得10
18秒前
1r1r发布了新的文献求助10
18秒前
玛卡巴卡完成签到,获得积分10
18秒前
18秒前
queen完成签到,获得积分10
18秒前
高分求助中
Principles of Economics, 11th Edition 10000
University Physics with Modern Physics, 16th edition 10000
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Matrix Methods in Data Mining and Pattern Recognition 510
Reading and Understanding Health Research 500
Social Skills Improvement System-Rating Scales--Chinese Version 500
Dynamische Polarisation von H-1 und B-11 in (CH-3)-3NBH-3 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7250652
求助须知:如何正确求助?哪些是违规求助? 8873440
关于积分的说明 18728039
捐赠科研通 6930405
什么是DOI,文献DOI怎么找? 3199195
关于科研通互助平台的介绍 2374239
邀请新用户注册赠送积分活动 2173869