Layer-by-layer synthesis of copper hexacyanoferrate on 3D-printed scaffolds for efficient ammonium recovery

IF 8.2 2区 环境科学与生态学 Q1 ENGINEERING, ENVIRONMENTAL Water Research X Pub Date : 2025-09-01 Epub Date: 2025-02-16 DOI:10.1016/j.wroa.2025.100322
Narges Dehbashi Nia , Bokseong Kim , Yuri Park , Yeo-Myeong Yun , Eveliina Repo , Yuhoon Hwang
{"title":"Layer-by-layer synthesis of copper hexacyanoferrate on 3D-printed scaffolds for efficient ammonium recovery","authors":"Narges Dehbashi Nia ,&nbsp;Bokseong Kim ,&nbsp;Yuri Park ,&nbsp;Yeo-Myeong Yun ,&nbsp;Eveliina Repo ,&nbsp;Yuhoon Hwang","doi":"10.1016/j.wroa.2025.100322","DOIUrl":null,"url":null,"abstract":"<div><div>Ammonium contamination in wastewater, which originates from various sources such as agriculture and livestock activities, poses significant environmental challenges while also serving as a valuable resource for recovery. Effective ammonium removal is essential for mitigating its impact on aquatic ecosystems, where it disrupts ecological balance and promotes toxic algal blooms. This study explores the potential of copper hexacyanoferrate (CuHCF), a widely recognized adsorbent among Prussian blue analogs (PBAs), for efficient ammonium adsorption due to its remarkable capacity and selectivity. CuHCF was immobilized on a three-dimensional (3D) printed scaffold using a layer-by-layer synthesis method, which significantly enhanced immobilization efficiency and adsorption performance compared to conventional single-layer methods. Analytical techniques, including Fourier-transform infrared spectroscopy (FTIR), scanning electron microscopy (SEM), X-ray diffraction (XRD), inductively coupled plasma mass spectrometry (ICP-MS), and thermogravimetric analysis (TGA), confirmed the introduction of carboxyl groups on the polylactic acid (PLA) scaffold through surface modification, enabling higher CuHCF loading. Adsorption tests revealed fast kinetics within 2 h, sustained adsorption performance for up to 10 days in continuous column experiments, and significant regeneration potential over five continuous cycles. These findings demonstrate the potential of the layer-by-layer synthesized CuHCF-immobilized filter for ammonium recovery from wastewater.</div></div>","PeriodicalId":52198,"journal":{"name":"Water Research X","volume":"28 ","pages":"Article 100322"},"PeriodicalIF":8.2000,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Water Research X","FirstCategoryId":"93","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2589914725000210","RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/2/16 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"ENGINEERING, ENVIRONMENTAL","Score":null,"Total":0}
引用次数: 0

Abstract

Ammonium contamination in wastewater, which originates from various sources such as agriculture and livestock activities, poses significant environmental challenges while also serving as a valuable resource for recovery. Effective ammonium removal is essential for mitigating its impact on aquatic ecosystems, where it disrupts ecological balance and promotes toxic algal blooms. This study explores the potential of copper hexacyanoferrate (CuHCF), a widely recognized adsorbent among Prussian blue analogs (PBAs), for efficient ammonium adsorption due to its remarkable capacity and selectivity. CuHCF was immobilized on a three-dimensional (3D) printed scaffold using a layer-by-layer synthesis method, which significantly enhanced immobilization efficiency and adsorption performance compared to conventional single-layer methods. Analytical techniques, including Fourier-transform infrared spectroscopy (FTIR), scanning electron microscopy (SEM), X-ray diffraction (XRD), inductively coupled plasma mass spectrometry (ICP-MS), and thermogravimetric analysis (TGA), confirmed the introduction of carboxyl groups on the polylactic acid (PLA) scaffold through surface modification, enabling higher CuHCF loading. Adsorption tests revealed fast kinetics within 2 h, sustained adsorption performance for up to 10 days in continuous column experiments, and significant regeneration potential over five continuous cycles. These findings demonstrate the potential of the layer-by-layer synthesized CuHCF-immobilized filter for ammonium recovery from wastewater.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
在3d打印支架上逐层合成六氰高铁酸铜,以实现高效的铵回收
废水中的铵污染来自各种来源,如农业和畜牧业活动,对环境构成重大挑战,同时也是一种宝贵的回收资源。有效去除铵对于减轻其对水生生态系统的影响至关重要,因为它破坏了生态平衡,促进了有毒藻华。六氰高铁酸铜(CuHCF)是普鲁士蓝类似物(PBAs)中被广泛认可的吸附剂,由于其卓越的吸附能力和选择性,本研究探讨了CuHCF在高效吸附铵离子方面的潜力。采用逐层合成的方法将CuHCF固定在三维(3D)打印支架上,与传统的单层方法相比,该方法显著提高了固定效率和吸附性能。傅里叶变换红外光谱(FTIR)、扫描电镜(SEM)、x射线衍射(XRD)、电感耦合等离子体质谱(ICP-MS)和热重分析(TGA)等分析技术证实,通过表面改性,聚乳酸(PLA)支架上引入了羧基,从而实现了更高的CuHCF负载。吸附测试表明,2小时内快速动力学,连续柱实验中持续吸附性能长达10天,连续5个循环再生潜力显著。这些发现证明了逐层合成cuhcf固定化过滤器回收废水铵的潜力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
Water Research X
Water Research X Environmental Science-Water Science and Technology
CiteScore
12.30
自引率
1.30%
发文量
19
期刊介绍: Water Research X is a sister journal of Water Research, which follows a Gold Open Access model. It focuses on publishing concise, letter-style research papers, visionary perspectives and editorials, as well as mini-reviews on emerging topics. The Journal invites contributions from researchers worldwide on various aspects of the science and technology related to the human impact on the water cycle, water quality, and its global management.
期刊最新文献
Boosting nitrogen removal through Fe0-coupled sulfur autotrophic denitrification: Mediated by enhanced sulfur disproportionation and electron transfer Pristine and modified biochar comparison for environmental micro(nano)plastic removal: adsorption dynamics, influencing factors, mechanisms, and regeneration potential Deciphering energy trade-offs and dormancy mechanisms in a PCB-degrading bacterium Rhodococcus biphenylivorans TG9 under acid stress Enhancing household water end-use estimates from low time-resolution smart meter data via stochastic discrete event modeling and Bayesian inference Comment on “A new Digital Harmony Search algorithm for optimizing pump scheduling in water distribution networks” by Francesco De Paola, Francesco Pugliese, Nicola Fontana, Maurizio Giugni
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1