Suppr超能文献

使用碳酸化酸枣种子从水溶液中去除百草枯的动力学、平衡、统计表面建模和成本分析

Kinetics, equilibrium, statistical surface modeling and cost analysis of paraquat removal from aqueous solution using carbonated jujube seed.

作者信息

Zbair Mohamed, Anfar Zakaria, Ait Ahsaine Hassan, Khallok Hamza

机构信息

Laboratory of Catalysis and Corrosion of Materials, Chouaïb Doukkali University, Faculty of Sciences El Jadida BP. 20 El Jadida 24000 Morocco

Materials and Environment Laboratory, Ibn Zohr University, Faculty of Sciences Agadir Morocco.

出版信息

RSC Adv. 2019 Jan 9;9(2):1084-1094. doi: 10.1039/c8ra09337g. eCollection 2019 Jan 2.

Abstract

This paper reports the removal of paraquat from an aqueous solution using prepared carbonated jujube seed (JS/HSO-700). JS/HSO-700 was characterized by XPS, TGA, FTIR, N physisorption, SEM, and Raman techniques. FTIR revealed the presence of active species on the JS/HSO-700 surface. The removal rate of paraquat was investigated as a function of multiple operational factors such as contact time, adsorbent dose and solution pH. Adsorption mechanism was fully investigated based on FTIR, Raman, and BET analyses before and after adsorption. Response surface methodology modeling using central composite design was performed to statistically optimize the adsorption conditions. The experimental paraquat removal efficiency was found to be 96.7 ± 2.02%, whereas the predicted value of the model was 94.31 ± 4.43%, showing that the predicted model values are in good agreement with the experimental value. Finally, cost analysis was performed to confirm the cost of the adsorbent based on energy consumption and reagent costs.

摘要

本文报道了使用制备的碳酸化酸枣种子(JS/HSO-700)从水溶液中去除百草枯的研究。通过XPS、TGA、FTIR、N物理吸附、SEM和拉曼技术对JS/HSO-700进行了表征。FTIR揭示了JS/HSO-700表面存在活性物种。研究了百草枯的去除率与接触时间、吸附剂剂量和溶液pH等多个操作因素的关系。基于吸附前后的FTIR、拉曼和BET分析对吸附机理进行了全面研究。采用中心复合设计进行响应面法建模,以统计优化吸附条件。实验测得的百草枯去除效率为96.7±2.02%,而模型预测值为94.31±4.43%,表明模型预测值与实验值吻合良好。最后,基于能耗和试剂成本进行了成本分析,以确定吸附剂的成本。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/273c/9059636/af05e2c34229/c8ra09337g-f1.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验