Hydrochar-nanocomposite membrane combined hydrothermal pretreatment for nutrient upcycling from anaerobic digestate

IF 12.4 1区 环境科学与生态学 Q1 ENGINEERING, ENVIRONMENTAL Water Research Pub Date : 2025-05-01 Epub Date: 2025-02-02 DOI:10.1016/j.watres.2025.123212
Runhao Zhang , Chujie Qi , Jiaxin Bai , Li Gao , Stephen Gray , Chenhao Ma , Qiao Zhou , Bo Bian
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Abstract

Efficient resource recovery is crucial for sustaining food production and alleviating stress on ecosystems. This study combines hydrothermal pretreatment with polyvinylidene fluoride (PVDF)-hydrochar nanocomposite membranes for near-complete resource recovery in kitchen waste treatment. The dual-functionalized pretreatment, which combines targeted conversion/enrichment with adsorption/filtration, effectively addresses the limitations of existing membrane separation technologies, including low nutrient recovery selectivity, low flux, and high costs. Within a wide pH range (3–11), the optimized lanthanum-doped hydrochar demonstrated over 99% phosphorus recovery, alongside exceptional nutrient recovery potential (over 289.71 mg P/g). The innovative composite membrane design successfully processed over 1,000 bed volumes of biogas slurry containing high phosphorus levels across three in-situ rejuvenation cycles, achieving nearly a 30-fold increase in membrane utilization compared to pristine PVDF membranes (36 bed volumes). The durability and fouling resistance of the composite membranes were enhanced through a synergistic mechanism that included ligand exchange and retention, as well as improved membrane surface properties. This facilitated the selective and efficient recovery of nutrients (99.33% P and 50.81% N) and enabled a profitable turnaround for anaerobic by-product upcycling ($28.51/ton). This study offers novel solutions to address the phosphorus scarcity crisis and promotes the integration of organic waste management with low carbon value addition.

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氢-纳米复合膜联合水热预处理厌氧消化中营养物质的上循环
有效的资源回收对于维持粮食生产和减轻对生态系统的压力至关重要。本研究将水热预处理与聚偏氟乙烯(PVDF)-碳氢纳米复合膜相结合,实现餐厨垃圾近乎完全的资源化利用。双功能化预处理将靶向转化/富集与吸附/过滤相结合,有效地解决了现有膜分离技术存在的营养物质回收选择性低、通量低、成本高等局限。在较宽的pH范围内(3-11),优化后的掺镧碳氢化合物的磷回收率超过99%,同时具有出色的营养回收潜力(超过289.71 mg P/g)。创新的复合膜设计在三个原位回春循环中成功处理了超过1000床体积的含磷高的沼气浆,与原始PVDF膜(36床体积)相比,膜利用率提高了近30倍。复合膜的耐久性和抗污性是通过配体交换和保留的协同机制增强的,同时也改善了膜的表面性能。这促进了营养物质(99.33% P和50.81% N)的选择性和有效回收,并使厌氧副产品升级回收成为有利可图的转变(28.51美元/吨)。本研究为解决磷短缺危机提供了新的解决方案,并促进了有机废物管理与低碳增值的整合。
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来源期刊
Water Research
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.
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