利用可可豆荚为基础的活性炭对阿莫地喹进行固存

IF 2.218 Q2 Chemistry
Ayanfejesu Heritage Odebunmi , Misbaudeen Abdul-Hammed , Olugbenga Solomon Bello
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引用次数: 0

摘要

采用可可豆荚活性炭(CPAC)作为吸附剂,对水中的阿莫地喹进行了脱除。采用正磷酸(H3PO4)对原料可可豆荚(RCP)进行改性,提高其吸附性能。Langmuir等温线的qm值为321.33 mg -1,可以很好地描述吸附数据。伪二阶法(PSO)拟合效果较好,R2趋于1,SSE值较低,qe、cal和qe、exp值吻合度较高。热力学研究给出了负值ΔGo,正值ΔHo和大于80 kJ mol−1的Ea值,这证实了相互作用本质上是化学吸附。成本分析表明,CPAC比商用活性炭(CAC)便宜约8倍。CPAC是去除废水中AMO的可行且经济实惠的选择
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Amodiaquine sequestration using cocoa pod based activated carbon
Cocoa pod-activated carbon (CPAC) was used as adsorbent for the removal of amodiaquine from aqueous solution in this study. Orthophosphoric acid (H3PO4) was used to modify the raw cocoa pod (RCP) to enhance its adsorptive properties. It was observed that the adsorption data was best described by the Langmuir isotherm having a qm value of 321.33 mgg-1. Pseudo Second Order (PSO) best fitted the adsorption data with R2 tending towards 1, with a low SSE value and high agreement between qe, cal and qe, exp values. Thermodynamic study gave negative value of ΔGo, positive value of ΔHo and Ea value which is greater than 80 kJ mol−1 , this confirms that the interaction is chemisorption in nature. Cost analysis shows that CPAC was about eight times cheaper than the commercial activated carbon (CAC). CPAC is a viable and affordable option for AMO removal from the wastewater
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来源期刊
Chemical Data Collections
Chemical Data Collections Chemistry-Chemistry (all)
CiteScore
6.10
自引率
0.00%
发文量
169
审稿时长
24 days
期刊介绍: Chemical Data Collections (CDC) provides a publication outlet for the increasing need to make research material and data easy to share and re-use. Publication of research data with CDC will allow scientists to: -Make their data easy to find and access -Benefit from the fast publication process -Contribute to proper data citation and attribution -Publish their intermediate and null/negative results -Receive recognition for the work that does not fit traditional article format. The research data will be published as ''data articles'' that support fast and easy submission and quick peer-review processes. Data articles introduced by CDC are short self-contained publications about research materials and data. They must provide the scientific context of the described work and contain the following elements: a title, list of authors (plus affiliations), abstract, keywords, graphical abstract, metadata table, main text and at least three references. The journal welcomes submissions focusing on (but not limited to) the following categories of research output: spectral data, syntheses, crystallographic data, computational simulations, molecular dynamics and models, physicochemical data, etc.
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