Modelling and packed bed column studies on adsorptive removal of phosphate from aqueous solutions by a mixture of ground burnt patties and red soil

P. Rout, R. R. Dash, P. Bhunia
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引用次数: 29

Abstract

The present study examines the phosphate adsorption potential and behavior of mixture of Ground Burnt Patties (GBP), a solid waste generated from cooking fuel used in earthen stoves and Red Soil (RS), a natural substance in fixed bed column mode operation. The characterization of adsorbent was done by Proton Induced X- ray Emission (PIXE), and Proton Induced γ- ray Emission (PIGE) methods. The FTIR spectroscopy of spent adsorbent reveals the presence of absorbance peak at 1127 cm -1 which appears due to P = O stretching, thus confirming phosphate adsorption. The effects of bed height (10, 15 and 20 cm), flow rate (2.5, 5 and 7.5 mL/min) and initial phosphate concentration (5 and 15 mg/L) on breakthrough curves were explored. Both the breakthrough and exhaustion time increased with increase in bed depth, decrease in flow rate and influent concentration. Thomas model, Yoon-Nelson model and Modified Dose Response model were used to fit the column adsorption data using nonlinear regression analysis while Bed Depth Service Time model followed linear regression analysis under different experimental condition to evaluate model parameters that are useful in scale up of the process. The values of correlation coefficient (R 2 ) and the Sum of Square Error (SSE) revealed the Modified Dose Response model as the best fitted model to the experimental data. The adsorbent mixture responded effectively to the desorption and reusability experiment. The results of this finding advocated that mixture of GBP and RS can be used as a low cost, highly efficient adsorbent for phosphate removal from aqueous solution.
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模拟和填充床柱研究了用焦土和红土的混合物吸附去除水溶液中的磷酸盐
本研究研究了在固定床柱模式下,由土灶烹饪燃料产生的固体废物——焦土(GBP)和天然物质红土(RS)混合而成的磷酸盐吸附电位和行为。采用质子诱导X射线发射法(PIXE)和质子诱导γ射线发射法(PIGE)对吸附剂进行了表征。废吸附剂的FTIR光谱显示,在1127 cm -1处存在P = O拉伸引起的吸光度峰,从而证实了磷酸盐的吸附作用。考察了床层高度(10、15和20 cm)、流速(2.5、5和7.5 mL/min)和初始磷酸盐浓度(5和15 mg/L)对突破曲线的影响。随着床层深度的增加、流量的减小和进水浓度的降低,突破时间和衰竭时间均增加。采用Thomas模型、Yoon-Nelson模型和修正剂量响应模型对柱间吸附数据进行非线性回归拟合,采用床深服务时间模型对不同实验条件下的柱间吸附数据进行线性回归分析,以评价模型参数对工艺放大的影响。相关系数(r2)和误差平方和(SSE)的值表明,修正剂量响应模型是最适合实验数据的模型。该吸附剂混合物在解吸和重复利用实验中反应良好。该研究结果表明,GBP和RS的混合物可作为一种低成本、高效的水溶液除磷吸附剂。
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