Maize cob-derived activated carbon as an adsorbent for the removal of nickel (II) cation from aqueous solution: optimization and kinetic studies

Mayowa Adeoye Lala, Zainab Omodunni Olomowewe, Adekunle Tirimisiyu Adeniyi, Abdulwahad Giwa
{"title":"Maize cob-derived activated carbon as an adsorbent for the removal of nickel (II) cation from aqueous solution: optimization and kinetic studies","authors":"Mayowa Adeoye Lala, Zainab Omodunni Olomowewe, Adekunle Tirimisiyu Adeniyi, Abdulwahad Giwa","doi":"10.1080/25765299.2023.2266230","DOIUrl":null,"url":null,"abstract":"Adsorption performance of maize cob-derived activated carbon (MCAC) for the removal of nickel (II) from solution was investigated in the present study. The MCAC was prepared by adsorbent chemical activation method. Afterwards, the MCAC was characterized and utilized as the adsorbent for batch adsorption process. Initial adsorbate concentration, contact time and adsorbent dosage were considered as the independent variables for the adsorption process. The experiments were designed based upon central composite design (CCD) of response surface methodology with the aid of Design Expert. The experimental data were fitted into a model using MATLAB regression analysis, and the developed model was later simulated to obtain the operation parameters that will give the optimum removal efficiency. The analysis of variance (ANOVA) revealed that all the considered independent process variables had significant effect on the adsorption process. The simulated response from MATLAB gave 97.113% removal efficiency of nickel (II) on experimental validation at optimum conditions of 9.75 mg/L initial nickel (II) concentration, 120 min contact time and 0.803 g adsorbent dosage. This result correlates with CCD that predicted 97.6154% nickel (II) removal efficiency. The experimental data were observed to be best fitted to pseudo-second-order kinetic model which showed that the process is chemisorption controlled. Hence, it may be concluded from the present data that MCAC is highly effective for the removal of Ni(II) from aqueous solution and the highly generated agricultural waste (Maize cob) can the easily modified as a adsorbent.","PeriodicalId":37239,"journal":{"name":"Arab Journal of Basic and Applied Sciences","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2023-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Arab Journal of Basic and Applied Sciences","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1080/25765299.2023.2266230","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"Mathematics","Score":null,"Total":0}
引用次数: 0

Abstract

Adsorption performance of maize cob-derived activated carbon (MCAC) for the removal of nickel (II) from solution was investigated in the present study. The MCAC was prepared by adsorbent chemical activation method. Afterwards, the MCAC was characterized and utilized as the adsorbent for batch adsorption process. Initial adsorbate concentration, contact time and adsorbent dosage were considered as the independent variables for the adsorption process. The experiments were designed based upon central composite design (CCD) of response surface methodology with the aid of Design Expert. The experimental data were fitted into a model using MATLAB regression analysis, and the developed model was later simulated to obtain the operation parameters that will give the optimum removal efficiency. The analysis of variance (ANOVA) revealed that all the considered independent process variables had significant effect on the adsorption process. The simulated response from MATLAB gave 97.113% removal efficiency of nickel (II) on experimental validation at optimum conditions of 9.75 mg/L initial nickel (II) concentration, 120 min contact time and 0.803 g adsorbent dosage. This result correlates with CCD that predicted 97.6154% nickel (II) removal efficiency. The experimental data were observed to be best fitted to pseudo-second-order kinetic model which showed that the process is chemisorption controlled. Hence, it may be concluded from the present data that MCAC is highly effective for the removal of Ni(II) from aqueous solution and the highly generated agricultural waste (Maize cob) can the easily modified as a adsorbent.
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
玉米芯活性炭作为吸附剂去除水溶液中的镍(II)阳离子:优化和动力学研究
研究了玉米芯活性炭(MCAC)对溶液中镍(II)的吸附性能。采用吸附化学活化法制备MCAC。随后,对MCAC进行了表征,并将其用作间歇吸附的吸附剂。以初始吸附浓度、接触时间和吸附剂用量为吸附过程的自变量。实验设计基于响应面法的中心复合设计(CCD),并借助于design Expert进行设计。利用MATLAB进行回归分析,将实验数据拟合到模型中,并对所建立的模型进行仿真,得到最优去除效率的操作参数。方差分析(ANOVA)表明,所有考虑的独立过程变量对吸附过程有显著影响。在初始镍(II)浓度为9.75 mg/L、接触时间为120 min、吸附剂投加量为0.803 g的条件下,对镍(II)的去除率为97.113%。该结果与CCD预测的镍(II)去除率为97.6154%相吻合。实验数据最符合拟二级动力学模型,表明该过程受化学吸附控制。因此,从目前的数据可以得出结论,MCAC对水溶液中Ni(II)的去除非常有效,并且高生成量的农业废弃物(玉米芯)可以很容易地作为吸附剂进行改性。
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
Arab Journal of Basic and Applied Sciences
Arab Journal of Basic and Applied Sciences Mathematics-Mathematics (all)
CiteScore
5.80
自引率
0.00%
发文量
31
审稿时长
36 weeks
期刊最新文献
Stability exploration in fractional h-difference equations with incommensurate orders Control strategy for renewable energy driven self-excited induction generator Certain results associated with q -Agarwal fractional integral operators and a q -class of special functions The real fixed points of two-parameter family of functions bx−1xm Dynamical and sensitivity analysis for fractional Kundu–Eckhaus system to produce solitary wave solutions via new mapping approach
×
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