Light-boosted simultaneous acid and salinity gradient energy recovery from wastewater via a nanochannel membrane with multi-objective ion separation ability

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

Water Research Pub Date : 2025-04-19 DOI:10.1016/j.watres.2025.123670

Jinming Han , Bohao Lv , Jin Wang, Lei Lei, Yanzheng Liu, Shangzhen Li, Kexin Wang, Jihao Liu, Zhiyan Liu, Lei Wang

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Abstract

The discharge of industrial wastewater has surged to unprecedented levels due to rapid industrialization. Developing effective strategies for the concurrent recovery of resources and energy from wastewater presents a promising pathway toward sustainable development. In this study, a composite nanochannel membrane with light-boosted ion separation capabilities was designed for the concurrent recovery of acid and salinity gradient energy from metallurgical industrial wastewater. The membrane demonstrated remarkable photothermal conversion efficiency, utilizing the synergy between localized surface plasmon resonance of Ti₃C₂T_x component and molecular vibration of Cu-TCPP component to achieve rapid temperature rise from room temperature to 139.5 °C within 60 s under illumination. This photothermal effect created an effective temperature gradient within nanochannels, enhancing the separation efficiency for both H⁺/Cl⁻ and H⁺/Fe²⁺ pairs by amplifying the differences in diffusion energy barriers. When applied to acidic wastewater, the membrane achieved an outstanding salinity gradient energy conversion power density of 7.31 W/m² over an expanded testing area, along with a H⁺/Fe²⁺ selectivity of 64.18 for acid recovery. Both energy harvesting and acid recovery performance surpass those of state-of-the-art membranes under identical testing conditions. This work presents a critical strategy for energy conversion and resource recovery from wastewater, contributing to sustainable solutions for energy, environmental, and resource challenges.

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具有多目标离子分离能力的纳米通道膜光增强同时酸盐梯度能量回收废水

由于工业化的快速发展，工业废水的排放量激增到前所未有的水平。开发从废水中同时回收资源和能源的有效策略，是实现可持续发展的一条大有可为的途径。本研究设计了一种具有光促进离子分离功能的复合纳米通道膜，用于同时回收冶金工业废水中的酸和盐梯度能量。该膜利用 Ti3C2Tx 成分的局部表面等离子体共振和 Cu-TCPP 成分的分子振动之间的协同作用，在光照下 60 秒内实现了从室温到 139.5°C 的快速升温，从而表现出卓越的光热转换效率。这种光热效应在纳米通道内形成了有效的温度梯度，通过放大扩散能垒的差异，提高了 H⁺/Cl- 和 H⁺/Fe2+ 对的分离效率。当应用于酸性废水时，该膜在扩大的测试区域内实现了 7.31 W/m2 的出色盐度梯度能量转换功率密度，以及 64.18 的 H+/Fe2+ 酸回收选择性。在相同的测试条件下，能量收集和酸回收性能都超过了最先进的膜。这项工作提出了从废水中进行能量转换和资源回收的关键策略，有助于为能源、环境和资源挑战提供可持续的解决方案。

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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.