Chemical Engineering Journal Advances最新文献_第8页

Improving fouling resistance of polyvinylidene fluoride membrane with mono-hydroxyl poly(dimethylsiloxane) (PDMS-OH) grafted silica nanoparticles 单羟基聚二甲基硅氧烷（PDMS-OH）接枝二氧化硅纳米颗粒提高聚偏氟乙烯膜的抗污性能

IF 7.1 Q1 ENGINEERING, CHEMICAL

Chemical Engineering Journal Advances

Pub Date : 2025-12-10 DOI: 10.1016/j.ceja.2025.100991

Muayad Al-Shaeli , Raed A. Al-Juboori , Huanting Wang , Bradley Ladewig , Qusay F. Alsalhy , Jianhua Zhang

In this study, mono‑hydroxyl polydimethylsiloxane (CH₃-PDMS-OH) was successfully grafted onto silica (SiO₂) nanoparticles via Steglich esterification process to produce surface-functionalized PDMS-g-SiO₂ nanomaterials. These nanoparticles were then introduced into polyvinylidene fluoride (PVDF) matrices through non-induced phase inversion (NIPS) to fabricate mixed matrix ultrafiltration membranes with different nanoparticle loadings (0, 1.6, 3.2, 6.3, and 11.8 wt %). The PDMS-g-SiO₂ incorporation resulted in membranes with slightly reduced porosity and hydrophobicity compared to pristine PVDF yet exhibited markedly improved antifouling performance. Although pure water flux decreased slightly due to the addition of nanoparticles, the rejection rate of Bovine serum albumin (BSA) improved substantially because of optimized pore structure and surface chemistry. In contrast, membranes containing unmodified SiO₂ showed higher initial flux but suffered from severe irreversible fouling. The modified PVDF membranes showed a flux recovery ratio of up to 97 % and significantly reduced protein adsorption (19.9 µg/cm²) relative to pristine PVDF (62 µg/cm²), confirming the formation of a low-energy, fouling-resistant surface. High flux recovery was sustained over four fouling/cleaning cycles with both BSA and humic acid (HA), and its durability was further demonstrated through 15 days of long-term testing. This study establishes a new hybrid design approach that combines the hydrophobic flexibility of PDMS with the hydrophilic stability of SiO₂, offering a durable and effective route for developing antifouling PVDF membranes for wastewater treatment applications.

本研究将单羟基聚二甲基硅氧烷（CH3-PDMS-OH）通过Steglich酯化工艺成功接枝到二氧化硅纳米颗粒上，制备了表面功能化的pdms -g- SiO2纳米材料。然后通过非诱导相转化（NIPS）将这些纳米颗粒引入聚偏氟乙烯（PVDF）基质中，制备不同纳米颗粒负载（0、1.6、3.2、6.3和11.8 wt %）的混合基质超滤膜。与原始PVDF相比，PDMS-g-SiO 2的掺入导致膜的孔隙率和疏水性略有降低，但具有显着提高的防污性能。虽然纳米颗粒的加入使纯水通量略有下降，但由于优化了孔隙结构和表面化学，牛血清白蛋白（BSA）的排斥率大幅提高。相比之下，含有未改性sio2的膜具有较高的初始通量，但存在严重的不可逆污染。改性PVDF膜的通量回收率高达97%，与原始PVDF膜（62µg/cm²）相比，显著降低了蛋白质吸附（19.9µg/cm²），证实了低能、抗污表面的形成。BSA和腐植酸（HA）在4个污垢/清洗循环中都保持了高通量恢复，并且通过15天的长期测试进一步证明了其耐久性。本研究建立了一种新的混合设计方法，结合了PDMS的疏水灵活性和SiO₂的亲水性稳定性，为开发用于废水处理的防污PVDF膜提供了一条持久有效的途径。

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引用次数: 0

Synthesis of a hydrophilic polyamide constituted by succinyl chloride and 5-carboxy-1,3-phenylenediamine for developing homogeneity with polyvinylidene difluoride matrix, yielding mixed matrix membranes for treating oily wastewater 由琥珀酰氯和5-羧基-1,3-苯二胺组成的亲水性聚酰胺的合成及其与聚偏二氟乙烯基质的均匀性，制备用于含油废水处理的混合基质膜

IF 7.1 Q1 ENGINEERING, CHEMICAL

Chemical Engineering Journal Advances

Pub Date : 2025-12-08 DOI: 10.1016/j.ceja.2025.100990

Umair Baig, Abdul Waheed

This work developed a polymer using a simple, single-step approach, with hydrophilic and hydrophobic components as integral parts of the polymer backbone, to produce mixed-matrix membranes without specific defects. The hydrophilic component was 5-carboxy-1,3-phenylenediamine monomer owing to the carboxylic acid present on the benzene ring, and the hydrophobic fraction was the benzene ring and aliphatic chain of the succinyl chloride (diacid chloride). The condensation polymerization of 5-carboxy-1,3-phenylenediamine and succinyl chloride yielded a polyamide, DACSC, with both hydrophilic and hydrophobic components. The DACSC showed increased homogeneity with the matrix polymer polyvinylidene difluoride (PVDF) owing to their similar polymer natures. The DACSC was decorated in increasing concentrations in the PVDF matrix by dissolving it in the dope solution and underwent phase inversion along with PVDF, giving rise to not only chemical variations, but also physical features, compared to the control PVDF. Hence, the obtained membranes showed increased separation efficiencies for different types of oil/water emulsions (crude oil, motor oil, and diesel oil) and higher permeate flux. The highest separation efficiencies were >99 % for the 2 %-DACSC/PVDF and 4 %-DACSC/PVDF, and slightly reduced to 97 % for the 8 %-DACSC/PVDF across the three types of emulsions. The 8 %-DACSC/PVDF membrane showed the highest flux among the membranes fabricated in the current study, with values of nearly 114, 143, and 126 L m^-2 h^-1 for crude, diesel, and motor oil emulsions at 2 bar. The fouling and cleaning cycles showed that DACSC-containing membranes have reversible fouling.

这项工作开发了一种聚合物，使用简单的单步方法，将亲水和疏水组分作为聚合物骨架的组成部分，以生产没有特定缺陷的混合基质膜。由于苯环上存在羧酸，亲水组分为5-羧基-1,3-苯二胺单体，疏水组分为氯丁二酸的苯环和脂肪链。5-羧基-1,3-苯基二胺与琥珀酰氯缩聚得到了具有亲疏水组分的聚酰胺DACSC。由于其相似的聚合物性质，DACSC与基体聚合物聚偏二氟乙烯（PVDF）的均匀性增加。通过将DACSC溶解于掺杂溶液中，使其在PVDF基质中的浓度增加，并与PVDF一起发生相转变，与对照PVDF相比，不仅产生化学变化，而且产生物理特征。因此，所获得的膜对不同类型的油/水乳液（原油、机油和柴油）具有更高的分离效率和更高的渗透通量。在三种乳剂中，2% -DACSC/PVDF和4% -DACSC/PVDF的分离效率最高为99%，8% -DACSC/PVDF的分离效率略降至97%。在本研究中制备的膜中，8% -DACSC/PVDF膜的通量最高，在2 bar时，原油、柴油和机油乳剂的通量分别接近114、143和126 L m-2 h-1。污垢和清洗循环表明，含dacc膜具有可逆性污垢。

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引用次数: 0

Engineered oligomeric-phase carbon nitride/WO3 Z-scheme photocatalysts for enhanced degradation of pharmaceutical contaminants in natural water under visible light 工程低聚相氮化碳/WO3 z -方案光催化剂在可见光下增强天然水中药物污染物的降解

IF 7.1 Q1 ENGINEERING, CHEMICAL

Chemical Engineering Journal Advances

Pub Date : 2025-12-07 DOI: 10.1016/j.ceja.2025.100989

Chee-Hun Han, Yongju Choi, Jong Kwon Choe

In this study, we have synthesized oligomeric-phase carbon nitride/WO₃ (o-WCN) Z-scheme photocatalysts to enhance reactive species (RS) generation and photocatalytic efficiency under visible-light irradiation compared to more traditional graphitic-phase (g-WCN) and polymer-phase (p-WCN) catalysts. X-ray diffraction (XRD), fourier transform infrared spectroscopy (FT-IR), scanning electron microscope (SEM), and transmission electron microscope (TEM) were used for structural analysis of photocatalyst confirming that o-WCN contained a higher proportion of terminal amine-rich oligomeric carbon nitride (o-CN) structures, leading to a more negative conduction band minimum (CBM) compared to other WCNs. Although charge transfer rate was fastest in g-WCN followed by p-WCN and o-WCN, o-WCN demonstrated superior overall photocatalytic performance (i.e., 4.82-fold) due to enhanced generation of the superoxide anion radicals (O₂^•−), driven by its highly negative CBM. In water sampled from a water treatment facility, o-WCN exhibited remarkable efficiency in removing pharmaceutical contaminants, with a 25-fold reduction in half-life (t_1/2) compared to WO₃ and notable advantages over other reported photocatalysts. These findings highlight the importance of carbon nitride (CN) phase tuning when developing Z-scheme carbon nitride/WO₃ (WCN) photocatalysts for environmental applications and confirm the practical applicability of o-WCN for efficient water treatment.

在这项研究中，我们合成了寡聚相氮化碳/WO3 (o-WCN) Z-scheme光催化剂，与传统的石墨相（g-WCN）和聚合物相（p-WCN）催化剂相比，在可见光照射下提高了反应物质（RS）的生成和光催化效率。利用x射线衍射（XRD）、傅里叶变换红外光谱（FT-IR）、扫描电镜（SEM）和透射电镜（TEM）对光催化剂进行结构分析，证实o-WCN含有更高比例的末端富胺低聚氮化碳（o-CN）结构，导致其负导带最小值（CBM）高于其他wcn。虽然g-WCN中的电荷转移速率最快，其次是p-WCN和o-WCN，但o-WCN由于其高度负的CBM驱动超氧阴离子自由基（O2•−）的生成增强，因此表现出更好的整体光催化性能（即4.82倍）。在从水处理设施取样的水中，o-WCN在去除药物污染物方面表现出显着的效率，与WO3相比，半衰期（t1/2）减少了25倍，并且比其他报道的光催化剂具有显着的优势。这些发现强调了氮化碳（CN）相调整在开发环境应用的z型氮化碳/WO3 （WCN）光催化剂时的重要性，并证实了o-WCN在高效水处理方面的实用性。

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引用次数: 0

Machine learning-assisted ultrafiltration for sustainable sub-20 nm nanoparticle removal in chip production 机器学习辅助超滤在芯片生产中可持续去除20纳米以下的纳米颗粒

IF 7.1 Q1 ENGINEERING, CHEMICAL

Chemical Engineering Journal Advances

Pub Date : 2025-12-06 DOI: 10.1016/j.ceja.2025.100988

Jie McAtee , Genhui Jing , Tianwei Liu , Wilson Poon , Da-Ren Chen , Chuen-Jinn Tsai , Sheng-Chieh Chen

The presence of particles in processing liquids, such as ultrapure water (UPW), isopropyl alcohol (IPA), and sulfuric acid (H₂SO₄) for wafer cleaning, up to 800 times in advanced semiconductor chip production, can cause defects and yield loss. Size-exclusion nanofiltration (NF) membranes with extremely small pores of 1–10 nm are widely used to remove sub-20 nm NPs during chip production, ensuring the cleanliness of these liquids, as commercial liquid particle detectors cannot quantitatively measure these tiny NPs. However, NF membrane’s small pores lead to high energy consumption. To achieve more sustainable chip production, the research team reported that ultrafiltration (UF) membranes with 20–100 nm pores can effectively capture sub-20 nm nanoparticles (NPs) by adsorption when favorable filtration conditions are met. However, due to the complex mechanisms underlying UF against sub-20 nm NPs, sustainable UF systems can be identified only with the aid of machine learning (ML). Therefore, a homemade electrospray aerosolization and particle classification system was developed to generate additional retention data for UF against 3–20 nm NPs in water and in >96 % concentrated H₂SO₄. A ML model was developed using high-quality data and theoretical retentions derived from the xDLVO theory to identify optimal filtration conditions for achieving sustainable UF. Results showed that 3 and 5 nm NPs could be retained at 99.9 % efficiency by a ∼50 nm-rated UF membrane in UPW, proving energy-efficient, high-NP retention by UF is feasible. In 96 % H₂SO_4, however, low experimental retention of ∼5 % for 20 nm SiO₂ NPs by both 70 nm and 100 nm rated PTFE membranes was observed. The current successful ML model for UPW will be extended to H₂SO₄ when more retention data is available for smaller NPs (e.g., 5 and 10 nm) in H₂SO₄.

在先进的半导体芯片生产中，用于晶圆清洗的超纯水（UPW）、异丙醇（IPA）和硫酸（H2SO4）等加工液体中颗粒的存在高达800次，可能导致缺陷和产量损失。由于商用液体粒子探测器无法定量测量这些微小的纳米粒子，因此在芯片生产过程中，具有1 - 10nm极小孔的纳米滤膜被广泛用于去除20 nm以下的纳米粒子，以确保这些液体的清洁度。但由于纳滤膜孔小，能耗高。为了实现更可持续的芯片生产，研究小组报告说，具有20-100 nm孔的超滤（UF）膜在满足有利过滤条件的情况下，可以通过吸附有效捕获20 nm以下的纳米颗粒（NPs）。然而，由于UF对抗亚-20 nm NPs的复杂机制，可持续UF系统只能借助机器学习（ML）来识别。因此，开发了自制的电喷雾雾化和颗粒分类系统，以获得UF在水中和96%浓度H2SO4中对3-20 nm NPs的保留数据。利用xDLVO理论衍生的高质量数据和理论保留，开发了ML模型，以确定实现可持续UF的最佳过滤条件。结果表明，在UPW中，约50 nm的UF膜可以以99.9%的效率保留3 nm和5 nm的np，证明UF高效、高np保留是可行的。然而，在96% H2SO4中，70 nm和100 nm额定PTFE膜对20 nm SiO2 NPs的实验保留率都很低~ 5%。目前成功的UPW ML模型将扩展到H2SO4，当更多的保留数据可用于H2SO4中较小的NPs（例如5和10 nm）时。

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引用次数: 0

Morphological evolution and recovery of high-purity ZnO from zinc roasting dust via pyrometallurgical reduction 从锌焙烧粉尘中提取高纯氧化锌的形态演变及火法还原

IF 7.1 Q1 ENGINEERING, CHEMICAL

Chemical Engineering Journal Advances

Pub Date : 2025-12-05 DOI: 10.1016/j.ceja.2025.100974

Seon Ho Sim , Ki Min Roh , Tae Jun Park

Zinc oxide (ZnO) is a versatile functional material with widespread applications in ceramics, coatings, catalysts, and optoelectronics, where high-purity ZnO is required. In this study, zinc roaster fume dust, a major metallurgical byproduct, was utilized as an alternative feedstock to produce ZnO through a dry reduction–reoxidation process. The reduction conditions, such as the reduction temperature (1100–1400 °C), reductant content (10–20 wt% coke with respect to the feedstock), and reaction time (30–90 min), were systematically explored to maximize ZnO recovery. The best-performing condition was 1150 °C for 60 min with 15 wt% coke, yielding ZnO of ∼99.5 wt% purity, as verified by inductively coupled plasma optical emission spectrometry and X-ray diffraction. Morphological characterization of the recovered ZnO powder revealed a distinct temperature-dependent phase transition; at ≤1150 °C, hexagonal prismatic crystals dominated due to anisotropic growth along [0001], whereas at higher temperatures spherical particles prevailed, consistent with supersaturation-driven nucleation of Zn vapor followed by rapid reoxidation. The particle-size distribution narrowed with increasing temperature, while agglomeration above ∼1300 °C broadened the mean size, indicating an upper thermal limit for uniform powders. these results demonstrate that dry reduction–reoxidation offers an effective and environmentally benign pathway to recover industrial-grade, high-purity ZnO from zinc fume dust while enabling morphology control via thermally tunable nucleation–growth regimes.

氧化锌是一种用途广泛的功能材料，在陶瓷、涂料、催化剂、光电等领域有着广泛的应用。在本研究中，锌焙烧烟气粉尘是一种主要的冶金副产物，作为替代原料，通过干燥还原-再氧化工艺生产ZnO。系统地探讨了还原温度（1100 ~ 1400℃）、还原剂含量（焦炭与原料的比例为10 ~ 20 wt%）和反应时间（30 ~ 90 min）等还原条件，以最大限度地提高ZnO的回收率。通过电感耦合等离子体发射光谱和x射线衍射验证，最佳条件为1150°C， 60 min，焦炭质量为15 wt%， ZnO纯度为~ 99.5 wt%。形貌表征表明ZnO粉体具有明显的温度依赖性相变；在≤1150°C时，由于沿[0001]的各向异性生长，六方棱柱状晶体占主导地位，而在更高温度下，球形颗粒占主导地位，与过饱和驱动的Zn蒸汽成核以及随后的快速再氧化相一致。随着温度的升高，颗粒尺寸分布变窄，而在~ 1300°C以上的团聚使平均尺寸变宽，表明均匀粉末的热上限。这些结果表明，干还原-再氧化为从锌烟尘中回收工业级高纯度ZnO提供了一种有效且环保的途径，同时通过热可调的成核生长机制实现形貌控制。

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引用次数: 0

Efficient water defluoridation and phosphate removal using recycled alkali-activated glass-calcium composites: Mechanisms and optimization 利用再生碱活化玻璃-钙复合材料高效除氟除磷：机理与优化

IF 7.1 Q1 ENGINEERING, CHEMICAL

Chemical Engineering Journal Advances

Pub Date : 2025-12-04 DOI: 10.1016/j.ceja.2025.100975

Bennet Edem Akorley , Ohene B. Apea , Girum Ayalneh Tiruye

A sustainable and low-cost adsorbent composite, alkali-activated glass-calcium (AAC-P@Ca) was synthesized from waste glass, plantain stalk ash (alkaline activator) and eggshell-derived CaO for the efficient removal of fluoride and phosphate ions from aqueous solutions. The as-synthesized composite material was extensively characterized using, XRD, SEM-EDX, FTIR, XRF and TGA to evaluate its structure, morphology, functional groups and thermal stability. AAC-P@Ca exhibited a moderate specific surface area (82.249 m²/g), and a point of zero charge (pzc) of 12.6, which indicate a strongly positive surface favorable for anionic adsorption. Batch adsorption experiments were performed to study the influence of contact time, pH, temperature, initial ion concentration, and ionic strength on adsorption performance. The optimized composite material achieved fluoride and phosphate removal efficiencies of >96 % and 62 %, respectively. Adsorption kinetics followed the pseudo second order model for fluoride and a mixed mechanism for phosphate ions, which thermodynamic analysis confirmed exothermic (for phosphate ion), endothermic (for fluoride ion) and spontaneous uptake. Process optimization using Response Surface Methodology (RSM) based on Central Composite Design (CCD) validated the composite’s operational efficiency. The synergistic effects of Ca²⁺-rich active sites, porous morphology and multifunctional surface groups could contribute to the effective adsorption across the WHO-recommended pH range (6.5–9.5). These results highlight the AAC-P@Ca composite material as a promising circular-economy driven adsorbent for sustainable water purification and anion remediation applications.

以废玻璃、车前草秸秆灰（碱性活化剂）和蛋壳来源的氧化钙为原料，合成了一种可持续的低成本吸附复合材料碱活化玻璃钙（AAC-P@Ca），用于高效去除水溶液中的氟化物和磷酸盐离子。采用XRD、SEM-EDX、FTIR、XRF和TGA对合成的复合材料进行了广泛的表征，评价了其结构、形貌、官能团和热稳定性。AAC-P@Ca具有中等的比表面积（82.249 m2/g），零电荷点（pzc）为12.6，表明其表面具有强正电荷，有利于阴离子吸附。通过批量吸附实验研究了接触时间、pH、温度、初始离子浓度和离子强度对吸附性能的影响。优化后的复合材料对氟和磷酸盐的去除率分别为96%和62%。对氟离子的吸附动力学符合准二级模型，对磷酸盐离子的吸附动力学符合混合机制，热力学分析证实了放热（对磷酸盐离子）、吸热（对氟离子）和自发吸收。基于中心复合材料设计（CCD）的响应面法（RSM）工艺优化验证了复合材料的运行效率。富Ca2+活性位点、多孔形态和多功能表面基团的协同作用有助于在世界卫生组织推荐的pH范围（6.5-9.5）内有效吸附。这些结果突出了AAC-P@Ca复合材料作为一种有前途的循环经济驱动的吸附剂，用于可持续的水净化和阴离子修复应用。

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引用次数: 0

Modeling of the Ni(II) removal from aqueous solutions by ion exchange resin: Comparison of various machine learning approaches 离子交换树脂去除水溶液中Ni（II）的建模：各种机器学习方法的比较

IF 7.1 Q1 ENGINEERING, CHEMICAL

Chemical Engineering Journal Advances

Pub Date : 2025-12-03 DOI: 10.1016/j.ceja.2025.100987

Shahrzad Maleki , Maryam Mousavifard , Ayoub Karimi-Jashni

This study aims to investigate the removal of Ni(II) ions from aqueous solutions using an ion exchange resin, focusing on various machine learning approaches to predict the process. The research highlights the efficiency of Amberlite IR120 Na as a strong acidic cation exchange resin, examining its adsorption capacity under varying conditions, including resin dose, initial Ni(II) concentration, solution pH, temperature, and contact time. The adsorption kinetics were accurately described by the pseudo-second-order kinetic model. Additionally, both surface adsorption and intra-particle diffusion played roles in the steps of the adsorption rate. The adsorption isotherm data fitted well with the Langmuir model, indicating a maximum adsorption capacity of 134.8 mg/g. Moreover, machine learning techniques were utilized to predict the resin’s performance, evaluating five diverse models: Support Vector Regression (SVR), Random Forest, Decision Tree, Multi-Layer Perceptron (MLP), and Polynomial Regression. The results showed that the SVR model performed better than the others, with a training R² of 0.990 and testing R² of 0.973, along with the lowest mean absolute error and mean squared error. These findings demonstrate the effectiveness of machine learning in accurately modeling the complex relationships within the adsorption process, thus offering valuable insights for optimizing heavy metal removal from wastewater.

本研究旨在研究使用离子交换树脂从水溶液中去除Ni（II）离子，重点关注各种机器学习方法来预测这一过程。本研究强调了Amberlite IR120 Na作为强酸性阳离子交换树脂的效率，考察了其在不同条件下的吸附能力，包括树脂剂量、初始Ni（II）浓度、溶液pH、温度和接触时间。拟二级动力学模型准确地描述了吸附动力学。此外，表面吸附和颗粒内扩散对吸附速率的变化都有影响。吸附等温线数据与Langmuir模型拟合良好，最大吸附量为134.8 mg/g。此外，利用机器学习技术来预测树脂的性能，评估五种不同的模型：支持向量回归（SVR）、随机森林、决策树、多层感知器（MLP）和多项式回归。结果表明，该SVR模型的训练R²为0.990，检验R²为0.973，具有最低的平均绝对误差和均方误差。这些发现证明了机器学习在准确模拟吸附过程中的复杂关系方面的有效性，从而为优化废水中重金属的去除提供了有价值的见解。

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引用次数: 0

Mitigating ammonia emissions for a sustainable livestock farming by advances in membrane technology and modelling tools 通过膜技术和建模工具的进步，减少可持续畜牧业的氨排放

IF 7.1 Q1 ENGINEERING, CHEMICAL

Chemical Engineering Journal Advances

Pub Date : 2025-12-03 DOI: 10.1016/j.ceja.2025.100983

Paula Calvo-de Diego, María Cruz García-González, Mercedes Sánchez-Báscones, Beatriz Molinuevo-Salces

With the agricultural sector contributing to 93 % of total ammonia emissions, the development of mitigation technologies is imperative for livestock farming. This study compared the nitrogen recovery performance of two novel gas-permeable membrane configurations: System 1 (S1), with external gas flow, and System 2 (S2), with internal gas flow. The influence of initial N concentration and exposure time on N recovery rates was investigated. The results established the markedly superior performance of S2, which achieved a N recovery rate of 237 g m⁻² d⁻¹, outperforming the 154 g m⁻² d⁻¹ rate of S1. This peak rate represents a 7-fold increase when compared to previous results. Mathematical models derived from regression analysis were developed for S1 and S2 and indicating that the theoretical maximum performance of S2 was 1.8-fold higher than that of S1 (Maximum N recovery rates of 155.65 and 281.2 g N m⁻² d⁻¹ for S1 and S2, respectively). The enhanced efficiency of S2 is ascribed to its internal flow configuration, which promotes a superior nitrogen mass transfer rate across the membrane. This design demonstrated greater robustness in managing high nitrogen loads, positioning it as a highly promising technology for practical implementation in livestock operations.

由于农业部门占氨排放总量的93%，因此开发减缓技术对畜牧业至关重要。本研究比较了系统1 （S1）和系统2 （S2）两种新型透膜配置的氮气回收性能，系统1 （S1）为外部气流，系统2 （S2）为内部气流。研究了初始氮浓度和暴露时间对氮素回收率的影响。结果表明，S2的表现明显优于S1，它的N的回收率为237 g m⁻²d⁻¹，优于S1的154 g m⁻²d⁻¹。与之前的结果相比，这个峰值率增加了7倍。通过对S1和S2进行回归分析得出的数学模型表明，S2的理论最大性能比S1高1.8倍（S1和S2的最大N回收率分别为155.65和281.2 g N m⁻²d⁻¹）。S2的效率提高是由于其内部流动结构，促进了优异的氮在膜上的传质速率。该设计在管理高氮负荷方面表现出更强的稳健性，使其成为一项非常有前途的技术，可在畜牧业中实际实施。

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引用次数: 0

Hybrid capacitive deionization using MgAl-LDHs-coated graphite felt electrodes for phosphate removal 用mal - ldhs包覆石墨毡电极进行杂化电容去离子去除磷酸盐

IF 7.1 Q1 ENGINEERING, CHEMICAL

Chemical Engineering Journal Advances

Pub Date : 2025-12-03 DOI: 10.1016/j.ceja.2025.100985

Tanzila Sharker , Xinxin Xiao , Jens Muff

Capacitive deionization (CDI) is a promising technology for selective phosphate removal, though its performance is often constrained by electrode materials. This study developed composite electrodes by integrating MgAl-layered double hydroxides (LDHs) onto conductive oxidized graphite felt (OGF) to improve charge storage and ion selectivity. Two types were tested: CLGF prepared with commercial nitrate-intercalated LDHs, and LLGF synthesized with chloride-intercalated LDHs. Phosphate removal performance was evaluated in synthetic mixed ion solutions as well as in real lake sediment dewatering reject water. The novelty of this work lies in both the electrode fabrication method and the integration of MgAl LDHs with oxidized graphite felt. This combination provides dual functionality with enhanced phosphate selectivity and improved charge storage for practical CDI based phosphorus recovery. Kinetic modeling identified chemisorption as the main mechanism, with both LDH-coated electrodes outperforming bare OGF in adsorption and capacitance. LLGF and CLGF showed maximum phosphate removal capacities of ∼60 mg/g, while pristine GF and OGF showed negligible ion adsorption capacity. CDI based steady state adsorption capacities stabilized at ∼10 mg/g over 5 cycles during phosphate removal from 1.0 mM mixed anions solution. Phosphate-to-sulphate selectivity coefficients were highly time dependent, reaching 2.0 (CLGF) and 4.3 (LLGF) under +1.0 V applied voltage. CLGF removed over 80 % of phosphate in reject water at both +1.0 V and open circuit (OC), while LLGF achieved moderate phosphate removal of about 57 % with better selectivity. Energy consumption for the CDI system ranged from 0.03 – 0.25 kWh/m³, within reported CDI benchmarks. Statistical analysis revealed that removal performance was significantly influenced by electrode-time and electrode-voltage interactions rather than individual factors. Overall, this study demonstrates MgAl-LDHs-OGF electrodes as a feasible electrode for lake water P removal with high selectivity towards phosphate over other competing anions.

电容去离子（CDI）是一种很有前途的选择性除磷技术，但其性能往往受到电极材料的限制。本研究通过将mgal层状双氢氧化物（LDHs）集成到导电氧化石墨毡（OGF）上，开发了复合电极，以提高电荷存储和离子选择性。测试了两种类型的LLGF：用商业硝酸盐插层LDHs制备的CLGF和用氯化物插层LDHs合成的LLGF。对合成混合离子溶液和真实湖泊沉积物脱水废水的除磷性能进行了评价。这项工作的新颖之处在于电极制作方法和MgAl ldh与氧化石墨毡的集成。这种组合提供了双重功能，具有增强的磷酸盐选择性和改进的电荷存储，用于实际的基于CDI的磷回收。动力学模型确定了化学吸附是主要机制，ldh涂层电极在吸附和电容方面都优于裸OGF。LLGF和CLGF的最大磷酸盐去除能力为~ 60 mg/g，而原始GF和OGF的离子吸附能力可以忽略不计。在从1.0 mM混合阴离子溶液中去除磷酸盐的过程中，基于CDI的稳态吸附能力在5个循环中稳定在~ 10 mg/g。在+1.0 V电压下，磷酸盐对硫酸盐的选择性系数分别达到2.0 （CLGF）和4.3 （LLGF）。在+1.0 V和开路（OC）条件下，CLGF对废水中磷酸盐的去除率超过80%，而LLGF对磷酸盐的去除率约为57%，选择性更好。CDI系统的能耗范围为0.03 - 0.25 kWh/m3，在报告的CDI基准范围内。统计分析表明，电极-时间和电极-电压相互作用显著影响去除性能，而不是单个因素。总的来说，本研究表明MgAl-LDHs-OGF电极是一种可行的湖边除磷电极，对磷酸盐的选择性高于其他竞争阴离子。

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引用次数: 0

Environment-, process-, and energy-specific multi-objective optimization of the industrial large-scale natural gas dehydration process 工业大规模天然气脱水过程的环境、工艺和能源多目标优化

IF 7.1 Q1 ENGINEERING, CHEMICAL

Chemical Engineering Journal Advances

Pub Date : 2025-12-03 DOI: 10.1016/j.ceja.2025.100980

Swaprabha P. Patel, Mustafa Al Salmi, Ashish M. Gujarathi

The industrial natural gas dehydration process using triethylene glycol (TEG) is characterized by fundamental conflicts between environmental goals and energy consumption. The study employs a multi-objective optimization (MOO) framework to systematically map these trade-offs by simultaneously optimizing six conflicting objectives: to minimize energy consumption, water content in dry gas, BTEX emissions, global warming potential (GWP), and TEG makeup, while maximizing hydrocarbon recovery. The optimization study showed that achieving a drier gas (lower water content) invariably demands higher energy. While lower regeneration temperatures reduce energy use and GWP, they simultaneously increase BTEX emissions and compromise dehydration efficiency. Pareto ranking analysis using the TOPSIS method was employed to identify optimal solutions, confirming that while energy and water content are dominant drivers, explicitly prioritizing environmental objectives significantly shifts the optimal conditions toward lower-emission operations. This work provides insights for designing sustainable and efficient natural gas dehydration processes that navigate the inherent conflicts between environmental responsibility and operational performance.

采用三甘醇（TEG）的工业天然气脱水工艺具有环境目标与能源消耗之间的根本冲突。该研究采用了多目标优化（MOO）框架，通过同时优化六个相互冲突的目标来系统地绘制这些权衡图：最小化能源消耗、干气含水量、BTEX排放、全球变暖潜能值（GWP）和TEG组成，同时最大化油气采收率。优化研究表明，获得更干燥的气体（含水量更低）总是需要更高的能量。虽然较低的再生温度降低了能源消耗和全球变暖潜能值，但同时也增加了BTEX的排放，降低了脱水效率。使用TOPSIS方法的帕累托排名分析确定了最优解决方案，确认了虽然能源和水含量是主要驱动因素，但明确优先考虑环境目标显着将最优条件转向低排放操作。这项工作为设计可持续和高效的天然气脱水工艺提供了见解，该工艺可以解决环境责任和运营绩效之间的内在冲突。

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引用次数: 0