Phytotoxicity of Salvinia molesta in Diesel Exposure

I. Al-Baldawi, Siti Rozaimah Sheikh Abdullah, N. Ismail, A. Almanso, Salwa Shamran Jasim
{"title":"Phytotoxicity of Salvinia molesta in Diesel Exposure","authors":"I. Al-Baldawi, Siti Rozaimah Sheikh Abdullah, N. Ismail, A. Almanso, Salwa Shamran Jasim","doi":"10.22153/kej.2021.09.001","DOIUrl":null,"url":null,"abstract":"Phytoremediation is one of the methods to remove various types of pollutants from water and soil using plants. Salvinia molesta, an aquatic plant, is chosen in this study to determine its ability to degrade diesel as the pollutant in synthetic wastewater with different diesel concentrations (0, 8,700, 17,400, and 26,100 mg/L) for 14 days. Total petroleum hydrocarbon (TPH) has been used as an indicator to represent diesel concentration variation in wastewater. Degradation of TPH was 85.1% for diesel concentration of 8,700 mg/L, compared with only 53.9% in the corresponding control without plant. While, acute toxicity on S. molesta exposed in diesel concentrations of 17,400 and 26,100 mg/L was observed and eventually had caused the plants to die after 14 days of exposure. Additionally, throughout the phytotoxicity test, the biomass of S. molesta was found to fluctuate confirming inhibition on plant to survive with diesel contaminated water compared with the corresponding control without contaminant. Based on the results obtained it is suggested to decrease diesel concentration less than 8,700 mg/L in future study due to insolubility of diesel in water and the toxicity to the aquatic plants","PeriodicalId":7637,"journal":{"name":"Al-Khwarizmi Engineering Journal","volume":"1989 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2021-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Al-Khwarizmi Engineering Journal","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.22153/kej.2021.09.001","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4

Abstract

Phytoremediation is one of the methods to remove various types of pollutants from water and soil using plants. Salvinia molesta, an aquatic plant, is chosen in this study to determine its ability to degrade diesel as the pollutant in synthetic wastewater with different diesel concentrations (0, 8,700, 17,400, and 26,100 mg/L) for 14 days. Total petroleum hydrocarbon (TPH) has been used as an indicator to represent diesel concentration variation in wastewater. Degradation of TPH was 85.1% for diesel concentration of 8,700 mg/L, compared with only 53.9% in the corresponding control without plant. While, acute toxicity on S. molesta exposed in diesel concentrations of 17,400 and 26,100 mg/L was observed and eventually had caused the plants to die after 14 days of exposure. Additionally, throughout the phytotoxicity test, the biomass of S. molesta was found to fluctuate confirming inhibition on plant to survive with diesel contaminated water compared with the corresponding control without contaminant. Based on the results obtained it is suggested to decrease diesel concentration less than 8,700 mg/L in future study due to insolubility of diesel in water and the toxicity to the aquatic plants
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
柴油暴露下鼠尾草的植物毒性
植物修复是利用植物去除水体和土壤中各种污染物的方法之一。本研究选择水生植物Salvinia molesta,测定其对不同柴油浓度(0,8,700,17,400和26,100 mg/L)合成废水中作为污染物的柴油的降解能力,为期14天。用总石油烃(TPH)作为表征废水中柴油浓度变化的指标。当柴油浓度为8700 mg/L时,TPH的降解率为85.1%,而无装置对照的TPH降解率仅为53.9%。在17,400 mg/L和26,100 mg/L的柴油浓度下,对鼠脚草产生急性毒性,并在14天后死亡。此外,在整个植物毒性试验过程中,与未受污染的对照相比,发现柴油污染的水对S. molesta的生物量有波动,证实了对植物存活的抑制。在此基础上,考虑到柴油在水中的不溶性和对水生植物的毒性,建议在今后的研究中将柴油浓度降低到8700 mg/L以下
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
GSM-enabled Wireless Patient Monitoring System Integrating Microcontroller for Managing Vital Signstal signs Performance Analysis of Different Machine Learning Algorithms for Predictive Maintenance Modeling and Simulation of Hydraulic Proportional Control Valves with Different Types of Controllers s Enhanced Gait Phases Recognition by EMG and Kinematics Information Fusion and a Minimal Recording Setuping Setup Assessment of Foot Deformities in Patient with Knee Osteoarthritis
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1