高锰酸钾改性中药渣高效脱除废水中的铵、磷。

IF 3 4区 环境科学与生态学 Q3 ENVIRONMENTAL SCIENCES
Jiachen Chen, Ze Zhong, Weilin Chen, Jie Zhu, Kai Luo, Jie Zhang, Yuqi Li
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引用次数: 0

摘要

随着中国中药产业的迅速发展,中药残留的处理已成为一个紧迫的环境问题。研究了高锰酸钾(KMnO4)改性中药废渣对废水中铵盐和磷酸盐的去除效果。结果表明,kmno4改性残渣(MR)对氮和磷的吸附能力显著增强,分别是未改性残渣(UR)的1.23倍和1.27倍。Bohm滴定法显示羧基增加了两倍,而FT-IR和BET分析表明MR表面形成了Mn-O化合物,比表面积和孔体积分别比UR增加了约6倍和16倍。此外,MR的吸附行为符合准二级动力学模型,符合Langmuir等温线模型。这些发现为中药残留资源利用和环境保护开辟了新的窗口。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Efficient removal of ammonium and phosphorus from wastewater via potassium permanganate-modified Chinese medicine residues

The disposal of Chinese medicine residues has become a pressing environmental issue in China due to the rapid expansion of the Chinese medicine industry. This study investigated the removal of ammonium and phosphate from wastewater by the use of potassium permanganate (KMnO4)-modified Chinese medicine residues. The results showed that the adsorption capacity of the KMnO4-modified residues (MR) for nitrogen and phosphorus was significantly enhanced, which was 1.23 and 1.27 times higher than that of unmodified residue (UR). Bohm titration showed a twofold increase in carboxyl groups, while FT-IR and BET analyses indicated the formation of Mn–O compounds on the MR surface, which increased the specific surface area and pore volume by approximately 6 and 16 times, respectively, compared to UR. Furthermore, the adsorption behavior of MR follows a pseudo-second-order kinetic model and fits the Langmuir isotherm model. These findings open a new window for resource utilization of Chinese medicine residues and the protection of the environment.

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来源期刊
Environmental Monitoring and Assessment
Environmental Monitoring and Assessment 环境科学-环境科学
CiteScore
4.70
自引率
6.70%
发文量
1000
审稿时长
7.3 months
期刊介绍: Environmental Monitoring and Assessment emphasizes technical developments and data arising from environmental monitoring and assessment, the use of scientific principles in the design of monitoring systems at the local, regional and global scales, and the use of monitoring data in assessing the consequences of natural resource management actions and pollution risks to man and the environment.
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