Extraction of Cu(II) from aqueous solution using di-2-ethylhexylphosphoric acid (D2EHPA) diluted in cooking palm oil: Optimization using response surface methodology (RSM)

Siti Fatimah Abdul Halim, Chang Hua, A. N. Mustapa
{"title":"Extraction of Cu(II) from aqueous solution using di-2-ethylhexylphosphoric acid (D2EHPA) diluted in cooking palm oil: Optimization using response surface methodology (RSM)","authors":"Siti Fatimah Abdul Halim, Chang Hua, A. N. Mustapa","doi":"10.1109/SHUSER.2012.6268800","DOIUrl":null,"url":null,"abstract":"This study aimed to develop an optimal condition of Cu(II) extraction from aqueous solution using cooking palm oil as a potential organic solvent. Response surface methodology (RSM) based on central composite rotatable design (CCRD) was used to optimize the two important process variables namely pH equilibrium (pHeq) and D2EHPA concentration for the Cu(II) extraction. The adequacy of the model was examined, and it was found to be statistically significant. The optimum condition for the Cu(II) extraction was as follows: 4.48 pHeq and 76.00 mM D2EHPA concentration. The optimum predicted percentage Cu(II) extraction was 99.58% and the actual value was 98.08%. The above results shows that the RSM study based on CCRD is adaptable for Cu(II) extraction studied and thus cooking palm oil are potential as greener substitutes for the conventional petroleum-based organic solvents.","PeriodicalId":426671,"journal":{"name":"2012 IEEE Symposium on Humanities, Science and Engineering Research","volume":"61 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 IEEE Symposium on Humanities, Science and Engineering Research","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SHUSER.2012.6268800","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

Abstract

This study aimed to develop an optimal condition of Cu(II) extraction from aqueous solution using cooking palm oil as a potential organic solvent. Response surface methodology (RSM) based on central composite rotatable design (CCRD) was used to optimize the two important process variables namely pH equilibrium (pHeq) and D2EHPA concentration for the Cu(II) extraction. The adequacy of the model was examined, and it was found to be statistically significant. The optimum condition for the Cu(II) extraction was as follows: 4.48 pHeq and 76.00 mM D2EHPA concentration. The optimum predicted percentage Cu(II) extraction was 99.58% and the actual value was 98.08%. The above results shows that the RSM study based on CCRD is adaptable for Cu(II) extraction studied and thus cooking palm oil are potential as greener substitutes for the conventional petroleum-based organic solvents.
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
二-2-乙基己基磷酸(D2EHPA)从烹调棕榈油中萃取铜(II):响应面法优化
以棕榈油为有机溶剂,研究了从食用油水溶液中提取铜(II)的最佳工艺条件。采用基于中心复合旋转设计(CCRD)的响应面法(RSM)对铜(II)提取的pH平衡(pHeq)和D2EHPA浓度两个重要工艺变量进行了优化。对模型的充分性进行了检验,发现有统计学意义。铜(II)的最佳提取条件为:4.48 pHeq, 76.00 mM D2EHPA浓度。Cu(II)的最佳萃取率预测值为99.58%,实际萃取率为98.08%。上述结果表明,基于CCRD的RSM研究适用于所研究的Cu(II)提取,因此蒸煮棕榈油具有替代传统石油基有机溶剂的绿色潜力。
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
Islamic inheritance claim processes — Non-normality data traits and best estimator choice Treatment effectiveness of continuous passive motion machine during post-operative treatment of anterior cruciate ligament patients Harmonic elimination in switching table-based direct torque control of five-phase PMSM using matrix converter Digital stable IIR high pass filter optimization using PSO-CFIWA IPv6 attack scenarios testbed
×
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