Enhanced hybrid capacitive performance for efficient and selective potassium extraction from wastewater: Insights from regulating electrode potential

IF 11.4 1区环境科学与生态学 Q1 ENGINEERING, ENVIRONMENTAL

Water Research Pub Date : 2025-03-28 DOI:10.1016/j.watres.2025.123570

Xuan Zhao , Dan Li , Linghui Deng , Ying Chen , Shujie Hu , Mengyue Zhang , Di Wu , Hong Liu , Yuan Liu

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Abstract

Prussian blue analogues hold great promise for directly extracting potassium resource from wastewater via hybrid capacitive deionization (HCDI). However, there remain unresolved scientific issues regarding low efficiency and selectivity arising from asymmetric potential distribution induced by spontaneous charge matching. This work systematically investigated the underlying mechanisms for enhancing the storage capacity and specific affinity of representative Berlin Green towards K⁺ through precise regulation of insertion potential during HCDI operation. Empowered by controlling electrochemical intercalation behaviors, the compatibility between ionic and electronic kinetics was significantly enhanced. Impressive values of 160.12 mg/g, 61.27 %, and 0.07 kWh/mol were achieved under potentiostatic mode (0.1 V vs. Ag/AgCl) for insertion capacity, charge efficiency, and energy consumption, respectively. These results significantly outperformed the optimal levels obtained under constant cell voltage (0.9 V), which were 128.52 mg/g, 47.50 %, and 0.12 kWh/mol, respectively. In both aqueous solution with binary components and urine, the results emphasized the potential of the synergy effect between lattice hindrance and insertion chemistry in promoting intercalation selectivity, with the highest selectivity coefficients of 28.35 (K⁺/Na⁺), 76.22 (K⁺/Ca²⁺) and 175.12 (K⁺/Mg²⁺), respectively. The presented concept-to-proof offers a versatile approach for the advancement of high-performance HCDI and paves the way towards its sustainable application in nutrient recycling from natural waters or wastewaters.

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从废水中高效和选择性提取钾的增强混合电容性能：从调节电极电位的见解

普鲁士蓝类似物通过混合电容去离子（HCDI）从废水中直接提取钾资源具有很大的前景。然而，由于自发电荷匹配引起的不对称电位分布所导致的低效率和低选择性等问题，仍然是有待解决的科学问题。本工作系统地研究了在HCDI操作过程中，通过精确调节插入电位来提高具有代表性的柏林绿对K+的存储容量和特定亲和力的潜在机制。通过控制电化学插层行为，离子动力学和电子动力学之间的相容性显著增强。在恒电位模式下（0.1 V vs. Ag/AgCl），插入容量、充电效率和能耗分别达到160.12 mg/g、61.27%和0.07 kWh/mol。这些结果显著优于恒定电池电压（0.9 V）下的最佳水平，分别为128.52 mg/g、47.50%和0.12 kWh/mol。在二元组分水溶液和尿液中，结果强调了晶格位阻和插入化学之间的协同效应在促进插层选择性方面的潜力，其最高选择性系数分别为28.35 (K+/Na+), 76.22 （K+/Ca2+）和175.12 （K+/Mg2+）。提出的从概念到验证的方法为高性能HCDI的发展提供了一种通用的方法，并为其在天然水或废水养分回收中的可持续应用铺平了道路。

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来源期刊

Water Research 环境科学-工程：环境

CiteScore

20.80

自引率

9.40%

发文量

1307

审稿时长

38 days

期刊介绍： Water Research, along with its open access companion journal Water Research X, serves as a platform for publishing original research papers covering various aspects of the science and technology related to the anthropogenic water cycle, water quality, and its management worldwide. The audience targeted by the journal comprises biologists, chemical engineers, chemists, civil engineers, environmental engineers, limnologists, and microbiologists. The scope of the journal include: •Treatment processes for water and wastewaters (municipal, agricultural, industrial, and on-site treatment), including resource recovery and residuals management; •Urban hydrology including sewer systems, stormwater management, and green infrastructure; •Drinking water treatment and distribution; •Potable and non-potable water reuse; •Sanitation, public health, and risk assessment; •Anaerobic digestion, solid and hazardous waste management, including source characterization and the effects and control of leachates and gaseous emissions; •Contaminants (chemical, microbial, anthropogenic particles such as nanoparticles or microplastics) and related water quality sensing, monitoring, fate, and assessment; •Anthropogenic impacts on inland, tidal, coastal and urban waters, focusing on surface and ground waters, and point and non-point sources of pollution; •Environmental restoration, linked to surface water, groundwater and groundwater remediation; •Analysis of the interfaces between sediments and water, and between water and atmosphere, focusing specifically on anthropogenic impacts; •Mathematical modelling, systems analysis, machine learning, and beneficial use of big data related to the anthropogenic water cycle; •Socio-economic, policy, and regulations studies.