Literature DB >> 28407548

Adsorption and reaction mechanism of arsenic vapors over γ-Al2O3 in the simulated flue gas containing acid gases.

Hongyun Hu1, Dunkui Chen1, Huan Liu2, Yuhan Yang1, Hexun Cai1, Junhao Shen1, Hong Yao3.   

Abstract

Arsenic emission from fuel combustion and metal smelting flue gas causes serious pollution. Addition of sorbents is a promising way for the arsenic capture from high temperature flue gas. However, it is difficult to remove arsenic from SO2/HCl-rich flue gas due to the competitive reaction of the sorbents with arsenic and these acid gases. To solve this problem, arsenic adsorption over γ-Al2O3 was studied in this work to evaluate its adsorption mechanism, resistance to acid gases as well as regeneration behavior. The results show that γ-Al2O3 had good resistance to acid gases and the arsenic adsorption by γ-Al2O3 could be effectively carried out at a wide temperature range between 573 and 1023 K. Nevertheless, adsorption at higher-temperature (like 1173 K) leaded to the decrease of surface area and the rearrangement of crystal structure of γ-Al2O3, reducing the active sites for arsenic adsorption. The adsorption of arsenic was confirmed to occur at different active sites in γ-Al2O3 by forming various adsorbed species. Increasing temperature facilitated arsenic transformation into more stable chemisorbed As3+ and As5+ which were difficult to remove through thermal treatment regeneration. Fortunately, the regeneration of spent γ-Al2O3 could be well performed using NaOH solution.
Copyright © 2017 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Acid gases; Arsenic adsorption; Regeneration; Species; γ-Al(2)O(3)

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Year:  2017        PMID: 28407548     DOI: 10.1016/j.chemosphere.2017.03.114

Source DB:  PubMed          Journal:  Chemosphere        ISSN: 0045-6535            Impact factor:   7.086


  1 in total

1.  Research on a Fast-Response Thermal Conductivity Sensor Based on Carbon Nanotube Modification.

Authors:  Hongquan Zhang; Bin Shen; Wenbin Hu; Xinlei Liu
Journal:  Sensors (Basel)       Date:  2018-07-07       Impact factor: 3.576

  1 in total

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