Advanced Membranes最新文献

英文中文

Synergizing peroxymonosulfate-activated advanced oxidation processes with underwater superoleophobicity in composite membranes for enhanced anti-fouling in oily wastewater purification 过氧单硫酸盐活化的深度氧化工艺与复合膜的水下超疏油性协同作用增强含油废水净化的抗污性

IF 9.5

Advanced Membranes

Pub Date : 2025-10-10 DOI: 10.1016/j.advmem.2025.100175

Yuling Yang , Yingxin Zhang , Ping Zhu , Lei Tang , Zhixiang Zeng , Lijing Zhu

Underwater superoleophobic characteristics of the membranes have been developed to defeat fouling caused by organic solvents and oils with low viscosity and high volatility in oily wastewater treatment. However, the classic strategy is lacking in fighting for worse membranes caused by viscous/nonvolatile oils and soluble materials such as dyes and antibiotics in wastewater. Hence, a synergistic antifouling mechanism, combining hydrophilicity/low oil adhesive underwater superoleophobicity and advanced oxidation processes (AOPs), is proposed and implemented by CoFe₂O₄/Fe₂O₃ nanoparticles anchored on polyvinylidene fluoride/polyacrylic acid (PVDF/PAA) blend membranes against various foulants in wastewater. Briefly, the as-prepared composite membrane not only repels the oils and hydrophobic groups in dyes/antibiotics from adhering to the surface due to its low oil adhesive underwater superoleophobicity and hydrophilicity, but also it can effectively degrade the foulants on the surface and within the pore walls because of its excellent AOPs performances. Specially, after the separation of complex oil-in-water emulsion including soybean oil, methylene blue (MB), and levofloxacin (LEVO), the composite membrane bearing hydrophilicity/underwater superoleophobicity and excellent AOPs has a high flux recovery ratio of 95.4 ± 0.3 % and a low fouling resistance of 0.1 × 10¹¹ m⁻¹. This innovative synergistic antifouling mechanism offers an outstanding anti-fouling membrane for the purification of complex wastewater containing various foulants.

膜的水下超疏油特性已被开发用于解决含油废水处理中由有机溶剂和低粘度、高挥发性油引起的污染。然而，传统的策略缺乏对抗由废水中的粘性/非挥发性油和可溶性物质（如染料和抗生素）引起的更差的膜。因此，提出了一种结合亲水性/低油胶粘剂水下超疏油性和高级氧化工艺（AOPs）的协同防污机制，并将CoFe2O4/Fe2O3纳米颗粒固定在聚偏氟乙烯/聚丙烯酸（PVDF/PAA）共混膜上，实现了对废水中各种污染物的协同防污机制。简而言之，所制备的复合膜不仅由于其低油粘水性和水下超疏油亲水性而排斥染料/抗生素中的油和疏水性基团粘附在表面，而且由于其优异的AOPs性能，可以有效地降解表面和孔壁上的污垢。其中，大豆油、亚甲基蓝（MB）、左氧氟沙星（LEVO）等复合水包油乳液分离后，复合膜具有亲水性/水下超疏油性和优异的AOPs，通量回收率高达95.4±0.3%，抗污能力低至0.1 × 1011 m−1。这种创新的协同防污机制为净化含有各种污染物的复杂废水提供了一种出色的防污膜。

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引用次数: 0

Poly(arylpiperidine) anion-exchange membranes utilizing varied side-chain cross-linking for enhanced electrodialytic ion separation in alkaline waste treatment 利用不同侧链交联的聚芳基哌啶阴离子交换膜在碱性废物处理中增强电渗析离子分离

IF 9.5

Advanced Membranes

Pub Date : 2025-10-01 DOI: 10.1016/j.advmem.2025.100173

Yazhen Jiang , Yan Zhang , Zhibo Zhang , Yangbo Qiu , Geting Xu , Sisheng Fang , Junbin Liao , Zhishan Chen , Jiangnan Shen , Congjie Gao

Electrodialysis with anion-exchange membranes (AEMs) is effective for reclaiming alkaline substances from industrial effluents, but conventional AEMs suffer from active group degradation under harsh alkaline conditions. To address this limitation, we designed novel polyarylpiperidine-based AEMs using 1,6-dibromohexane as the cross-linker and incorporating varied side-chain groups. The optimized PBP-co-COOH AEM exhibited exceptional alkali stability: nuclear magnetic resonance confirmed polymeric backbone stability after 1200 h of exposure to 2.0 M NaOH at 80 °C, and thermogravimetric analysis showed minimal mass loss (<8.7 %). In practical electrodialysis (feed concentration: 0.40 M–0.11 M), this membrane achieved a high current efficiency of 90.21 % and low energy consumption of 2.22 kW h kg⁻¹, outperforming the commercial Neosepta AHA membrane (80.31 % current efficiency, 2.75 kW h kg⁻¹ energy consumption) in both metrics. These results demonstrate that modulating ionic moieties in membrane side chains significantly enhances electrodialysis performance. This membrane design provides a promising strategy for developing alkali-resistant AEMs, with valuable implications for optimizing alkaline reclamation processes and advancing industrial-scale applications.

阴离子交换膜电渗析是回收工业废水中碱性物质的有效方法，但传统的阴离子交换膜在恶劣的碱性条件下存在活性基团降解的问题。为了解决这一限制，我们设计了新的基于聚芳基胡椒啶的AEMs，使用1,6-二溴己烷作为交联剂并加入不同的侧链基团。优化后的PBP-co-COOH AEM表现出优异的碱稳定性：核磁共振证实，在2.0 M NaOH在80°C下暴露1200 h后，聚合物骨架稳定，热重分析显示，质量损失最小（< 8.7%）。在实际的电渗析（进料浓度：0.40 M - 0.11 M）中，该膜实现了90.21%的高电流效率和2.22 kW h kg - 1的低能耗，在这两个指标上都优于商业Neosepta AHA膜（80.31%的电流效率，2.75 kW h kg - 1的能耗）。这些结果表明，调节膜侧链中的离子部分可显著提高电渗析性能。这种膜设计为开发耐碱AEMs提供了一种有前途的策略，对优化碱回收工艺和推进工业规模应用具有重要意义。

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引用次数: 0

Rejuvenation of reverse osmosis polyamide membranes degraded by chlorine in the presence of ferric chloride 反渗透聚酰胺膜在氯化铁存在下被氯降解的返青

Advanced Membranes

Pub Date : 2025-01-01 DOI: 10.1016/j.advmem.2025.100141

Muhammad Inam Bari, Bende Merve Kayhan, Bengü Bozkaya, Aykut Argönül

Reverse osmosis (RO) polyamide membranes are widely used for water treatment applications. However, certain processes such as wastewater reuse require regular membrane cleaning and disinfection with oxidants, which can lead to early membrane degradation. Furthermore, some metal ions present in the water can act as a catalyst for further accelerating the degradation. This early degradation of RO membranes poses significant challenges, resulting in operational inefficiencies, early disposal of membranes, and elevated operational costs. Fortunately, there is the possibility of recovering some part of this performance loss by means of chemical treatment through rejuvenating agents. This study aims to investigate the effectiveness of a commercially available rejuvenating agent containing tannic acid for restoring salt rejection and permeability parameters on degraded thin-film polyamide membranes. The membranes were first degraded using 250 ppm sodium hypochlorite (NaOCl) and 0.05 ppm ferric chloride (FeCl₃) at various pH levels (pH = 4, 7 and 9). After applying the rejuvenation treatment to the degraded membranes, the efficiency of the rejuvenating agent was determined based on the improvement achieved for performance testing with respect to salt rejection and permeability. Analytical characterization of the membranes was carried out with Fourier Transform Infrared Spectroscopy-Attenuated Total Reflection (FTIR-ATR). It was found that the chlorine degradation of membranes was accelerated in the presence of FeCl₃ at all studied pH levels but more prominently in the acidic region. This acceleration effect was attributed to the formation of (

\cdot OH

\cdot OCl

) radicals. Under the conditions studied in this work, rejuvenating agent treatment effectively enhanced the salt rejection capability of the degraded membranes but was unable to restore the permeate flux.

反渗透（RO）聚酰胺膜广泛用于水处理应用。然而，某些过程，如废水回用，需要定期用氧化剂清洗和消毒膜，这可能导致早期膜降解。此外，水中存在的一些金属离子可以作为催化剂，进一步加速降解。反渗透膜的早期降解带来了巨大的挑战，导致操作效率低下，膜的早期处理和操作成本的增加。幸运的是，有可能通过使用回春剂的化学处理来恢复部分性能损失。本研究旨在探讨一种市售的含单宁酸的返青剂在恢复降解的聚酰胺薄膜的抗盐性和渗透性参数方面的有效性。首先使用250 ppm的次氯酸钠（NaOCl）和0.05 ppm的氯化铁（FeCl3）在不同的pH水平（pH = 4、7和9）下对膜进行降解。在对降解膜进行返青处理后，通过性能测试来确定返青剂的效率。利用傅里叶变换红外光谱-衰减全反射（FTIR-ATR）对膜进行了分析表征。研究发现，在所有研究的pH值水平下，FeCl3的存在都加速了膜的氯降解，但在酸性区域更为明显。这种加速效应归因于（·OH，·OCl）自由基的形成。在本研究条件下，还原剂处理能有效提高降解膜的除盐能力，但不能恢复膜的渗透通量。

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引用次数: 0

Advances in MOF membrane strategies for selective lithium extraction from salt lake brine 盐湖卤水中MOF膜选择性提锂研究进展

Advanced Membranes

Pub Date : 2025-01-01 DOI: 10.1016/j.advmem.2025.100156

Yuting Wang , Bin Yan , Jiaying Liu , Runkai Wang , Pinhua Rao , Yang Liu

Metal-organic framework (MOF) membranes have emerged as a promising solution for lithium extraction from salt lake brines due to their tunable pore structures and high specific surface areas. Their exceptional selectivity for Li⁺, combined with efficient extraction and robust performance in complex ionic environments, positions MOF membranes as a key technology for low-concentration lithium extraction. However, meeting industrial-scale demands requires not only enhancing membrane selectivity and permeability, but also addressing long-term stability and reusability under harsh conditions. This review provides a comprehensive overview of recent advances in MOF-based membrane materials for Li⁺ extraction, focusing on both inorganic and organic substrate-supported configurations. Strategic approaches in structural design such as the selection of metal nodes, ligand modification, and encapsulation of active molecules, and growth control techniques to achieve precise pore architectures are discussed. Furthermore, methods for enhancing membrane robustness through multilayer and composite structures to improve antifouling properties and durability are outlined. Finally, the challenges and emerging trends are also proposed for sustainable and high-efficiency lithium extraction. This work offers valuable insights and theoretical support for the ongoing technical innovation and industrial application of MOF membranes in lithium extraction.

金属有机框架膜（MOF）由于其可调节的孔隙结构和高比表面积而成为从盐湖盐水中提取锂的一种有前途的解决方案。它们对Li+的特殊选择性，结合在复杂离子环境中的高效萃取和强大性能，使MOF膜成为低浓度锂萃取的关键技术。然而，满足工业规模的需求不仅需要提高膜的选择性和渗透性，还需要解决恶劣条件下的长期稳定性和可重复使用性。本文综述了用于Li+提取的mof基膜材料的最新进展，重点介绍了无机和有机基质支撑结构。讨论了结构设计中的策略方法，如金属节点的选择，配体修饰，活性分子的包封，以及实现精确孔结构的生长控制技术。此外，还概述了通过多层和复合结构增强膜坚固性以提高防污性能和耐久性的方法。最后，提出了可持续高效锂提取面临的挑战和发展趋势。该研究为MOF膜在锂提取中的技术创新和工业应用提供了有价值的见解和理论支持。

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引用次数: 0

Evaluating and advancing large language models for nanofiltration membrane knowledge tasks 评估和改进纳滤膜知识任务的大型语言模型

Advanced Membranes

Pub Date : 2025-01-01 DOI: 10.1016/j.advmem.2025.100161

Xinchen Xiang , Zheng Cao , Yukun Qian , Dan Lu , Jiancong Lu , Jinyan Wang , Shiyu Zhou , Lijun Liang , Zhikan Yao , Lin Zhang

Nanofiltration (NF) is a rapidly growing field, resulting in a surge of publications with diverse focuses. It's challenging for researchers to quickly find key information from the vast amount of publications. Large language models (LLMs) have shown promise in analyzing article and reasoning about knowledge in some scientific fields, but their effectiveness in membrane research is unclear. Here, we introduced the first benchmark specifically designed for membrane studies and used it to systematically evaluate six general-purpose LLMs (i.e., Claude-3.5, Deepseek-R1, Gemini-2.0, GPT-4o-mini, Llama-3.2, and Mistral-small-3.1). Our findings revealed that the complexity and depth of NF knowledge pose a significant challenge for these LLMs, leading to poor performance, particularly in tasks involving membrane mechanisms. To enhance LLMs' using in this field, we developed a specialized NF database and integrated it with the LLMs using Retrieval-Augmented Generation (RAG). RAG significantly improved performance across all models, with average gains of 18.5 % on Question type tasks and 10.8 % on Reasoning type tasks. Moreover, in areas such as membrane fabrication and characterization, several models with RAG demonstrated performance exceeding that of human experts. These results suggested that RAG is a promising strategy for leveraging LLMs in NF research. This study introduced a new path for applying LLMs to membrane research and proposes a professional benchmark to ensure the reliable and effective use of LLMs.

纳滤（NF）是一个快速发展的领域，引起了各种关注的出版物激增。对于研究人员来说，从大量的出版物中快速找到关键信息是一项挑战。大型语言模型（llm）在一些科学领域的文章分析和知识推理方面显示出了前景，但它们在膜研究中的有效性尚不清楚。在这里，我们引入了第一个专门为膜研究设计的基准，并使用它系统地评估了六种通用llm（即Claude-3.5、Deepseek-R1、Gemini-2.0、gpt - 40 -mini、Llama-3.2和Mistral-small-3.1）。我们的研究结果表明，NF知识的复杂性和深度对这些llm构成了重大挑战，导致性能不佳，特别是在涉及膜机制的任务中。为了提高法学硕士在这一领域的应用，我们开发了一个专门的NF数据库，并使用检索增强生成（RAG）将其与法学硕士集成在一起。RAG显著提高了所有模型的性能，在Question类型任务上的平均增益为18.5%，在Reasoning类型任务上的平均增益为10.8%。此外，在膜制造和表征等领域，一些具有RAG的模型表现出超过人类专家的性能。这些结果表明，RAG是利用法学硕士进行NF研究的一种有前途的策略。本研究为llm在膜研究中的应用提供了一条新的途径，并提出了一个专业的基准，以确保llm的可靠和有效使用。

{"title":"Evaluating and advancing large language models for nanofiltration membrane knowledge tasks","authors":"Xinchen Xiang , Zheng Cao , Yukun Qian , Dan Lu , Jiancong Lu , Jinyan Wang , Shiyu Zhou , Lijun Liang , Zhikan Yao , Lin Zhang","doi":"10.1016/j.advmem.2025.100161","DOIUrl":"10.1016/j.advmem.2025.100161","url":null,"abstract":"<div><div>Nanofiltration (NF) is a rapidly growing field, resulting in a surge of publications with diverse focuses. It's challenging for researchers to quickly find key information from the vast amount of publications. Large language models (LLMs) have shown promise in analyzing article and reasoning about knowledge in some scientific fields, but their effectiveness in membrane research is unclear. Here, we introduced the first benchmark specifically designed for membrane studies and used it to systematically evaluate six general-purpose LLMs (i.e., Claude-3.5, Deepseek-R1, Gemini-2.0, GPT-4o-mini, Llama-3.2, and Mistral-small-3.1). Our findings revealed that the complexity and depth of NF knowledge pose a significant challenge for these LLMs, leading to poor performance, particularly in tasks involving membrane mechanisms. To enhance LLMs' using in this field, we developed a specialized NF database and integrated it with the LLMs using Retrieval-Augmented Generation (RAG). RAG significantly improved performance across all models, with average gains of 18.5 % on Question type tasks and 10.8 % on Reasoning type tasks. Moreover, in areas such as membrane fabrication and characterization, several models with RAG demonstrated performance exceeding that of human experts. These results suggested that RAG is a promising strategy for leveraging LLMs in NF research. This study introduced a new path for applying LLMs to membrane research and proposes a professional benchmark to ensure the reliable and effective use of LLMs.</div></div>","PeriodicalId":100033,"journal":{"name":"Advanced Membranes","volume":"5 ","pages":"Article 100161"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144588192","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Ultrathin mineral interlayers regulate interfacial polymerization of polyamide nanofiltration membranes via multiple non-covalent and coordination bonding for rapid molecular separation 超薄矿物夹层通过多重非共价键和配位键调控聚酰胺纳滤膜的界面聚合，实现分子的快速分离

Advanced Membranes

Pub Date : 2025-01-01 DOI: 10.1016/j.advmem.2025.100163

Yan Zhu, Danwei Huang, Hongbo Xie, Zheyuan Liu, Fei-Fei Chen, Yan Yu

Polyamide (PA) nanofiltration membranes have raised considerable interest in the realm of water purification. However, balancing permeability and rejection remains a critical challenge in membrane science and technology. Herein, we report that weak non-covalent hydrogen bonds and strong coordination bonds between ultrathin calcium silicate (UCS) interlayers and piperazine (PIP) powerfully control its diffusion. Theoretical calculations reveal that coordination bonds dominate PIP binding on UCS with an adsorption energy of −443.83 kJ mol⁻¹, thereby impeding its movement. The diffusion coefficient of PIP diminishes by 14 % upon the incorporation of UCS, as evidenced by molecular dynamics simulations. As a consequence, a superhydrophilic, smooth, loose, and ultrathin (∼18.9 nm) PA separation layer is created. The as-obtained UCS-interlayered PA possesses a remarkable water permeance of 31.7 L m⁻² h⁻¹ bar⁻¹ that is 2.2-fold higher than that of UCS-free PA, while dye rejection rates keep a high level. Furthermore, the UCS-interlayered PA demonstrates exceptional antifouling performance with a 95 % flux recovery ratio and long-term stability during 16-h filtration. The study highlights the pivotal role of mineral interlayers in tailoring amine monomer diffusion via multiple interfacial interactions for advanced water treatment applications.

聚酰胺（PA）纳滤膜在水净化领域引起了相当大的兴趣。然而，如何平衡膜的渗透性和排斥性仍然是膜科学和技术的关键挑战。本文报道了超薄硅酸钙（UCS）中间层与哌嗪（PIP）之间的弱非共价氢键和强配位键强有力地控制了其扩散。理论计算表明，配位键主导了PIP在UCS上的结合，其吸附能为- 443.83 kJ mol−1，从而阻碍了其运动。分子动力学模拟表明，加入UCS后，PIP的扩散系数降低了14%。因此，产生了超亲水、光滑、松散和超薄（~ 18.9 nm）的PA分离层。得到的ucs层间聚酰胺的透水性为31.7 L m−2 h−1 bar−1，是无ucs聚酰胺的2.2倍，同时染料的去除率保持在较高水平。此外，ucs -层间PA具有优异的防污性能，其通量回收率为95%，在过滤16小时内具有长期稳定性。该研究强调了矿物中间层通过多种界面相互作用在高级水处理应用中裁剪胺单体扩散的关键作用。

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引用次数: 0

IF 9.5

Advanced Membranes

Pub Date : 2025-01-01

引用次数: 0

IF 9.5

Advanced Membranes

Pub Date : 2025-01-01

引用次数: 0

IF 9.5

Advanced Membranes

Pub Date : 2025-01-01

引用次数: 0

Membranes with hollow bowl-shaped window for CO2 removal from natural gas 具有中空碗状窗口的膜，用于从天然气中去除二氧化碳

Advanced Membranes

Pub Date : 2025-01-01 DOI: 10.1016/j.advmem.2025.100129

Weiwang Lim , Wen He , Ji Ma , Shabi Ul Hassan , Jingcheng Du , Qian Sun , Dong Cao , Jian Guan , Hongjun Zhang , Jiangtao Liu

Mixed matrix membranes (MMMs) are crucial for CO₂ separation and offer a potential solution to overcome conventional gas separation. Nevertheless, MMMs face challenges due to interfacial defects in membranes, which results in poor gas separation performance. In this study, γ-cyclodextrin (γ-CD) based MMMs were synthesized via a simple solution casting method. γ-CD could be molecularly dispersed in Matrimid matrix up to 3 wt% loading without defects at the interfaces in membranes. ATR-FTIR results showed that γ-CD based MMMs have significant peak with loading increases. Leveraging the high CO₂ solubility and high porosity of γ-CD, Matrimid/γ-CD based membranes exhibit improved CO₂/CH₄ selectivity. Especially, the CO₂ permeability of Matrimid-3%-CD membrane increased by 40 % (from 13.35 to 18.71 Barrer) and CO₂/CH₄ increased by 99 % (from 36.08 to 71.96), respectively compared to pristine Matrimid membrane. This demonstrates that the incorporation of γ-CD in Matrimid membrane significantly improves both permeability and selectivity. The Matrimid-γ-CD membrane also demonstrated superior long-term operation stability after aging 593 days. Thus, this study lays the foundation for the development of γ-CD-based membranes with high CO₂/CH₄ selectivity, providing potential pathways for CO₂ separation processes in CO₂/CH₄ separation.

混合基质膜（MMMs）对于CO2分离至关重要，并提供了一种克服传统气体分离的潜在解决方案。然而，由于膜的界面缺陷，MMMs面临着挑战，导致气体分离性能差。本研究采用简单的溶液浇铸法制备了γ-环糊精（γ-CD）基MMMs。γ-CD可以在3 wt%的负载下分子分散在基质中，而在膜的界面处没有缺陷。ATR-FTIR结果表明，γ-CD基MMMs随载荷的增加有明显的峰值。利用γ-CD的高CO2溶解度和高孔隙率，Matrimid/γ-CD基膜具有更好的CO2/CH4选择性。其中，与原始Matrimid膜相比，Matrimid-3%- cd膜的CO2渗透率提高了40%（从13.35 Barrer提高到18.71 Barrer）， CO2/CH4渗透率提高了99%（从36.08提高到71.96）。这表明γ-CD在基质膜中的掺入显著提高了膜的渗透性和选择性。经过593天的老化，Matrimid-γ-CD膜也表现出良好的长期运行稳定性。因此，本研究为开发具有高CO2/CH4选择性的γ- cd基膜奠定了基础，为CO2/CH4分离过程中的CO2分离过程提供了潜在的途径。

{"title":"Membranes with hollow bowl-shaped window for CO2 removal from natural gas","authors":"Weiwang Lim , Wen He , Ji Ma , Shabi Ul Hassan , Jingcheng Du , Qian Sun , Dong Cao , Jian Guan , Hongjun Zhang , Jiangtao Liu","doi":"10.1016/j.advmem.2025.100129","DOIUrl":"10.1016/j.advmem.2025.100129","url":null,"abstract":"<div><div>Mixed matrix membranes (MMMs) are crucial for CO<sub>2</sub> separation and offer a potential solution to overcome conventional gas separation. Nevertheless, MMMs face challenges due to interfacial defects in membranes, which results in poor gas separation performance. In this study, γ-cyclodextrin (γ-CD) based MMMs were synthesized via a simple solution casting method. γ-CD could be molecularly dispersed in Matrimid matrix up to 3 wt% loading without defects at the interfaces in membranes. ATR-FTIR results showed that γ-CD based MMMs have significant peak with loading increases. Leveraging the high CO<sub>2</sub> solubility and high porosity of γ-CD, Matrimid/γ-CD based membranes exhibit improved CO<sub>2</sub>/CH<sub>4</sub> selectivity. Especially, the CO<sub>2</sub> permeability of Matrimid-3%-CD membrane increased by 40 % (from 13.35 to 18.71 Barrer) and CO<sub>2</sub>/CH<sub>4</sub> increased by 99 % (from 36.08 to 71.96), respectively compared to pristine Matrimid membrane. This demonstrates that the incorporation of γ-CD in Matrimid membrane significantly improves both permeability and selectivity. The Matrimid-γ-CD membrane also demonstrated superior long-term operation stability after aging 593 days. Thus, this study lays the foundation for the development of γ-CD-based membranes with high CO<sub>2</sub>/CH<sub>4</sub> selectivity, providing potential pathways for CO<sub>2</sub> separation processes in CO<sub>2</sub>/CH<sub>4</sub> separation.</div></div>","PeriodicalId":100033,"journal":{"name":"Advanced Membranes","volume":"5 ","pages":"Article 100129"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143099935","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

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