Department of Environmental Engineering, Kyungpook National University, 80 Daehak-ro, Buk-gu, Daegu 41566, Republic of Korea.
Department of Environmental Engineering, Kyungpook National University, 80 Daehak-ro, Buk-gu, Daegu 41566, Republic of Korea.
Bioresour Technol. 2016 Oct;218:294-300. doi: 10.1016/j.biortech.2016.06.100. Epub 2016 Jun 29.
A continuous fixed-bed column study was performed using PVA-alginate encapsulated Prussian blue-graphene oxide (PB-GO) hydrogel beads as a novel adsorbent for the removal of cesium from aqueous solutions. The effects of different operating parameters, such as initial cesium concentration, pH, bed height, flow rate, and bead size, were investigated. The maximum adsorption capacity of the PB-GO hydrogel beads was 164.5mg/g at an initial cesium concentration of 5mM, bed height of 20cm, and flow rate of 0.83mL/min at pH 7. The Thomas, Adams-Bohart, and Yoon-Nelson models were applied to the experimental data to predict the breakthrough curves using non-linear regression. Although both the Thomas and Yoon-Nelson models showed good agreement with the experimental data, the Yoon-Nelson model was found to provide the best representation for cesium adsorption on the adsorbent, based on the χ(2) analysis.
采用 PVA-海藻酸钠包埋普鲁士蓝-氧化石墨烯(PB-GO)水凝胶珠作为一种新型吸附剂,进行了连续固定床柱研究,以去除水溶液中的铯。考察了不同操作参数,如初始铯浓度、pH 值、床层高度、流速和珠粒大小对吸附的影响。在初始铯浓度为 5mM、床层高度为 20cm、流速为 0.83mL/min、pH 值为 7 的条件下,PB-GO 水凝胶珠的最大吸附容量为 164.5mg/g。应用 Thomas、Adams-Bohart 和 Yoon-Nelson 模型对实验数据进行非线性回归,以预测穿透曲线。尽管 Thomas 和 Yoon-Nelson 模型均与实验数据吻合良好,但基于 χ(2)分析,Yoon-Nelson 模型被发现对吸附剂上的铯吸附提供了最佳描述。
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