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碱性处理木屑作为一种在动态条件下从纺织废水中去除阳离子染料的有效材料:突破曲线预测和机理探讨。

Alkaline-treated sawdust as an effective material for cationic dye removal from textile effluents under dynamic conditions: breakthrough curve prediction and mechanism exploration.

机构信息

Wastewaters and Environment Laboratory, Water Research and Technologies Center, BP 273, Soliman, 8020, Tunisia.

University of Carthage, Faculty of Sciences of Bizerte, Jarzouna, 7000, Tunisia.

出版信息

Environ Sci Pollut Res Int. 2017 Aug;24(22):18240-18256. doi: 10.1007/s11356-017-9388-4. Epub 2017 Jun 21.

Abstract

This paper deals with the methylene blue molecule (MB) removal from synthetic and real textile wastewaters by alkali-treated orange tree sawdust (ATOS) under different dynamic conditions. Experimental results showed that MB removal efficiencies by ATOS increased when increasing initial dye concentrations and bed depths but decreased with the increase of the applied flow rates with a maximum adsorption capacity of about 110 mg g. Moreover, various empirical models were applied to predict the experimental breakthrough curves (BTCs) and to determine the characteristic adsorption parameters. The applied models successfully fitted data in the following order: Thomas ([Formula: see text] = 0.969), dose response ([Formula: see text] = 0.949), and Clark ([Formula: see text] = 0.874). ATOS was also found to efficiently remove dyes and other mineral pollutants such as chlorides, nitrates, and phosphates from real wastewaters. MB removal by ATOS involved not only cationic exchange but also complexation with acidic and basic functional groups. Moreover, important MB desorption yields from ATOS (more than 93%) were obtained when using saline solutions. All these results confirmed that NaOH-treated orange tree sawdust can be considered as a promising material for the removal of cationic dyes from industrial wastewaters.

摘要

本文研究了在不同动态条件下,用碱处理的橙树木屑(ATOS)从合成和实际纺织废水中去除亚甲蓝(MB)分子。实验结果表明,随着初始染料浓度和床层深度的增加,ATOS 对 MB 的去除效率增加,但随着施加流速的增加而降低,最大吸附容量约为 110mg/g。此外,还应用了各种经验模型来预测实验突破曲线(BTC)并确定特征吸附参数。应用模型成功拟合数据的顺序如下:Thomas ([Formula: see text] = 0.969)、剂量响应 ([Formula: see text] = 0.949) 和 Clark ([Formula: see text] = 0.874)。ATOS 还被发现能够有效地从实际废水中去除染料和其他矿物污染物,如氯化物、硝酸盐和磷酸盐。ATOS 去除 MB 不仅涉及阳离子交换,还涉及与酸性和碱性官能团的络合。此外,当使用盐水时,从 ATOS 中获得了重要的 MB 解吸产率(超过 93%)。所有这些结果都证实,氢氧化钠处理的橙树木屑可以被认为是一种有前途的材料,可用于从工业废水中去除阳离子染料。

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