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模拟固定床柱中空气流中六价铬在天然沸石上的去除。

Modeling of hexavalent chromium removal onto natural zeolite from air stream in a fixed bed column.

机构信息

Student Research Committee, Iran University of Medical Sciences, Tehran, Iran.

Department of Occupational Health and Safety Engineering, School of Health, Tehran University of Medical Sciences, Tehran, Iran.

出版信息

Sci Rep. 2024 Aug 27;14(1):19836. doi: 10.1038/s41598-024-70765-0.

Abstract

The increasing use of hexavalent chromium (Cr(VI)) has exposed large populations to this environmental and occupational carcinogenic agent. Therefore, researchers have been interested in removing this substance through adsorbents. This study aimed to investigate the efficiency of natural zeolite in the direct adsorption of Cr(VI) from airflow and its adsorption modeling. In this study, a nebulizer device produced the Cr(VI) mist. The efficiency of natural zeolite in Cr(VI) adsorption from airflow, modeling of fixed column adsorption, and the effective parameters on adsorption efficiency including the initial concentration of chromium, airflow rate, and adsorption bed depth were studied. To facilitate the prediction of the performance of natural zeolite's adsorption column, Yoon-Nelson, Thomas, BDST, and Buhart-Adams models were used. The results showed that the adsorption capacity diminished with increased airflow rate and initial concentration, while it increased with elevated height of the adsorption bed. Yoon-Nelson, Thomas, and BDST models corresponded to experimental data with a correlation coefficient of 0.9933, but the information of the Buhart-Adams model had a lower correlation coefficient (around 0.6677). In conclusion, natural zeolite can be used as an efficient low-cost adsorbent for directly Cr(VI) removing from the airflow in a fixed bed column.

摘要

六价铬(Cr(VI))的使用日益增多,使大量人群接触到这种环境和职业致癌物质。因此,研究人员一直有兴趣通过吸附剂来去除这种物质。本研究旨在研究天然沸石从气流中直接吸附 Cr(VI)的效率及其吸附模型。在这项研究中,采用雾化器装置产生 Cr(VI)雾。研究了天然沸石从气流中吸附 Cr(VI)的效率、固定柱吸附的模型以及对吸附效率有影响的有效参数,包括铬的初始浓度、气流速率和吸附床的高度。为了便于预测天然沸石吸附柱的性能,使用了 Yoon-Nelson、Thomas、BDST 和 Buhart-Adams 模型。结果表明,吸附容量随气流速率和初始浓度的增加而降低,随吸附床高度的增加而增加。Yoon-Nelson、Thomas 和 BDST 模型与实验数据的相关性系数为 0.9933,而 Buhart-Adams 模型的信息相关性系数较低(约为 0.6677)。总之,天然沸石可以用作从固定床柱中的气流中直接去除 Cr(VI)的高效低成本吸附剂。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/23e3/11349910/19ae7c35a2ee/41598_2024_70765_Fig1_HTML.jpg

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