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首页> 外文期刊>Journal of Environmental Health Science and Engineering >Adsorption performance of packed bed column for nitrate removal using PAN-oxime-nano Fe2O3
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Adsorption performance of packed bed column for nitrate removal using PAN-oxime-nano Fe2O3

机译:PAN-肟-纳米Fe 2 O 3 去除填充床塔中硝酸盐的吸附性能

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A continuous fixed bed study was carried out by using PAN-oxime-nano Fe2O3 as a sorbent for the removal of nitrate from aqueous solution. The effect of factors, such as flow rate (2, 5 and 7 mL/min) and bed depth (5, 10 and 15 cm) were studied. Data confirmed that the breakthrough curves were dependent on flow rate and bed depth. The adsoption capacities observed in diffent conditions of flow rates (2,5 and 7 mL/min) were 11.65, 24.38 and 25.89, respectively. Thomas model was applied to experimental data to predict the breakthrough curves using linear regression and to determine the characteristic parameters of the packed bed column. Bed depth/service time analysis (BDST) model was used to investigate the effect of bed depth on breakthrough curves. The results showed that Thomas model was suitable for the normal description of breakthrough curve at the experimental condition. The data were in good agreement with BDST model with R2?>?0.98. Statistical analyses were performed on fluoride removal obtained from different flow rates using SPSS16 software by applying Kruskal- Wallis test. These findings suggested that PAN-oxime-nano Fe2O3 in the column structure presents a great potential in removal of nitrate from aqueous solutions.
机译:使用PAN-肟-纳米Fe2O3作为吸附剂从水溶液中去除硝酸盐进行了连续固定床研究。研究了流速(2、5和7 mL / min)和床深(5、10和15 cm)等因素的影响。数据证实,穿透曲线取决于流速和床层深度。在不同流速(2.5和7 mL / min)下观察到的吸附能力分别为11.65、24.38和25.89。将Thomas模型应用于实验数据,以使用线性回归预测穿透曲线并确定填充床塔的特征参数。床深度/服务时间分析(BDST)模型用于研究床深度对突破曲线的影响。结果表明,在实验条件下,Thomas模型适合于击穿曲线的正常描述。数据与R2≥0.98的BDST模型非常吻合。使用SPSS16软件通过应用Kruskal-Wallis测试,对从不同流速获得的除氟进行了统计分析。这些发现表明,柱结构中的PAN-肟-纳米Fe2O3具有从水溶液中去除硝酸盐的巨大潜力。

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