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腐殖酸在膜蒸馏过程中抑制二氧化硅结垢的分子机制

Molecular Mechanisms of Humic Acid in Inhibiting Silica Scaling during Membrane Distillation.

作者信息

Yuan Shideng, Zhang Jiaojiao, Yu Xinmeng, Zhu Xiaohui, Zhang Na, Yuan Shiling, Wang Zhining

机构信息

Shandong Key Laboratory of Water Pollution Control and Resource Reuse, School of Environmental Science and Engineering, Shandong University, Qingdao 266237, P. R. China.

Key Lab of Colloid and Interface Chemistry, Shandong University, Jinan, Shandong 250100, P. R. China.

出版信息

Environ Sci Technol. 2025 Jan 14;59(1):978-988. doi: 10.1021/acs.est.4c10047. Epub 2024 Dec 31.

Abstract

Membrane distillation (MD) efficiently desalinizes and treats high-salinity water as well as addresses the challenges in handling concentrated brines and wastewater. However, silica scaling impeded the effectiveness of MD for treating hypersaline water and wastewater. Herein, the effects of humic acid (HA) on silica scaling behavior during MD are systematically investigated. The interaction mechanism between typical components of HA and active silica was evaluated by molecular dynamics simulations. We find that the addition of HA alleviated the significant decrease in water flux, with recoveries surpassing 60% and 80% at 10 and 20 ppm of HA, respectively. Quantum chemical calculations indicate that the presence of HA greatly raised the free-energy barriers of silica polymerization compared to the system without HA (489.7 vs 45.1 kJ mol). Moreover, the interaction between HA molecules and silica significantly weakened the diffusion capacity of silica scale in water (diffusion coefficient from 1.04 × 10 to 0.08 × 10 cm s), consequently decreasing the likelihood of contact between silica scale and the hydrophobic membrane. Finally, a neural network analysis model for the HA and silica interaction was developed to design effective inhibitors for silica polymerization. Overall, this study develops nanoscale modeling and simulations to understand how HA inhibits silica scaling in membrane processes, guiding the formation of new approaches to enhance MD performance.

摘要

膜蒸馏(MD)能高效地对高盐水进行脱盐和处理,同时解决处理浓盐水和废水时面临的挑战。然而,二氧化硅结垢阻碍了膜蒸馏处理高盐水和废水的效果。在此,系统研究了腐殖酸(HA)对膜蒸馏过程中二氧化硅结垢行为的影响。通过分子动力学模拟评估了腐殖酸典型成分与活性二氧化硅之间的相互作用机制。我们发现,添加腐殖酸缓解了水通量的显著下降,在腐殖酸浓度为10 ppm和20 ppm时,回收率分别超过60%和80%。量子化学计算表明,与无腐殖酸的体系相比,腐殖酸的存在极大地提高了二氧化硅聚合的自由能垒(489.7对45.1 kJ/mol)。此外,腐殖酸分子与二氧化硅之间的相互作用显著削弱了二氧化硅垢在水中的扩散能力(扩散系数从1.04×10降至0.08×10 cm²/s),从而降低了二氧化硅垢与疏水膜接触的可能性。最后,建立了腐殖酸与二氧化硅相互作用的神经网络分析模型,以设计有效的二氧化硅聚合抑制剂。总体而言,本研究开发了纳米尺度的建模和模拟方法,以了解腐殖酸如何抑制膜过程中的二氧化硅结垢,为提高膜蒸馏性能的新方法的形成提供指导。

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