Kausar Abida, Bhatti Haq Nawaz, Iqbal Munawar, Ashraf Aisha
Department of Chemistry, Government College Women University, Faisalabad, Pakistan.
Department of Chemistry, University of Agriculture, Faisalabad, Pakistan.
Water Sci Technol. 2017 Sep;76(5-6):1035-1043. doi: 10.2166/wst.2017.220.
Batch and column adsorption modes were compared for the adsorption of U(VI) ions using rice husk waste biomass (RHWB). Response surface methodology was employed for the optimization of process variables, i.e., (pH (A), adsorbent dose (B), initial ion concentration (C)) in batch mode. The B, C and C affected the U(VI) adsorption significantly in batch mode. The developed quadratic model was found to be validated on the basis of regression coefficient as well as analysis of variance. The predicted and actual values were found to be correlated well, with negligible residual value, and B, C and C were significant terms. The column study was performed considering bed height, flow rate and initial metal ion concentration, and adsorption efficiency was evaluated through breakthrough curves and bed depth service time and Thomas models. Adsorption was found to be dependent on bed height and initial U(VI) ion concentration, and flow rate decreased the adsorption capacity. Thomas models fitted well to the U(VI) adsorption onto RHWB. Results revealed that RHWB has potential to remove U(VI) ions and batch adsorption was found to be efficient versus column mode.
使用稻壳废弃生物质（RHWB）对U(VI)离子的吸附进行了分批吸附和柱吸附模式的比较。采用响应面法对分批模式下的工艺变量，即pH（A）、吸附剂剂量（B）、初始离子浓度（C）进行优化。在分批模式下，B、C和C对U(VI)的吸附有显著影响。基于回归系数和方差分析，发现所建立的二次模型得到了验证。预测值和实际值相关性良好，残差值可忽略不计，且B、C和C是显著项。进行了柱研究，考虑了床层高度、流速和初始金属离子浓度，并通过穿透曲线、床层深度服务时间和托马斯模型评估了吸附效率。发现吸附取决于床层高度和初始U(VI)离子浓度，流速降低了吸附容量。托马斯模型很好地拟合了U(VI)在RHWB上的吸附。结果表明，RHWB具有去除U(VI)离子的潜力，且发现分批吸附相对于柱模式更有效。
