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促进过钙/高铁酸盐(VI)工艺中 Fe(IV)/Fe(V)中间产物的生成,以实现低损伤去除藻类污染物和控制膜污染。

Promoted production of Fe(IV)/Fe(V) intermediates in the calcium peroxide/ferrate(VI) process for low-damage removal of algal contaminants and membrane fouling control.

机构信息

School of Municipal and Environmental Engineering, Shandong Jianzhu University, Jinan 250101, PR China.

School of Resources and Environment, Northeast Agricultural University, Harbin 150030, PR China.

出版信息

J Hazard Mater. 2024 Nov 5;479:135709. doi: 10.1016/j.jhazmat.2024.135709. Epub 2024 Aug 30.

Abstract

Ultrafiltration (UF) is widely employed for harmful algae rejection, whereas severe membrane fouling hampers its long-term operation. Herein, calcium peroxide (CaO) and ferrate (Fe(VI)) were innovatively coupled for low-damage removal of algal contaminants and fouling control in the UF process. As a result, the terminal J/J increased from 0.13 to 0.66, with R and R respectively decreased by 96.74 % and 48.47 %. The cake layer filtration was significantly postponed, and pore blocking was reduced. The ζ-potential of algal foulants was weakened from -34.4 mV to -18.7 mV, and algal cells of 86.15 % were removed with flocs of 300 µm generated. The cell integrity was better remained in comparison to the Fe(VI) treatment, and Fe(IV)/Fe(V) was verified to be the dominant reactive species. The membrane fouling alleviation mechanisms could be attributed to the reduction of the fouling loads and the changes in the interfacial free energies. A membrane fouling prediction model was built based on a long short-term memory deep learning network, which predicted that the filtration volume at J/J= 0.2 increased from 288 to 1400 mL. The results provide a new routine for controlling algal membrane fouling from the perspective of promoting the generation of Fe(IV)/Fe(V) intermediates.

摘要

超滤(UF)广泛应用于有害藻类的去除,但严重的膜污染阻碍了其长期运行。在此,创新性地将过氧化氢钙(CaO)和高铁酸盐(Fe(VI))结合,用于低损伤去除藻类污染物和控制 UF 过程中的膜污染。结果,终端 J/J 从 0.13 增加到 0.66,R 和 R 分别降低了 96.74%和 48.47%。滤饼层过滤明显推迟,孔隙堵塞减少。藻类污染物的 ζ-电位从-34.4 mV 减弱到-18.7 mV,并且 86.15%的藻类细胞被生成的 300 µm 的絮体去除。与 Fe(VI)处理相比,细胞完整性更好地保持,并且验证了 Fe(IV)/Fe(V)是主要的反应性物质。膜污染缓解机制可以归因于减少污染负荷和界面自由能的变化。基于长短期记忆深度学习网络建立了膜污染预测模型,预测在 J/J=0.2 时的过滤体积从 288 增加到 1400 mL。结果从促进 Fe(IV)/Fe(V)中间体生成的角度为控制藻类膜污染提供了一种新的方法。

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