SCIENCE CHINA Materials•2026•DOI: 10.1007/s40843-026-4473-9
Selective ion separation is critical for resource recovery, water treatment, lithium extraction from salt lakes, and nuclear waste management, yet the differences in size, solvation structure, and coordination behavior among ions are often minimal, and separation is further complicated by valence, interfacial charge, and competing ions. Nanoporous materials with tunable sub-nanometer channels and chemically active interfaces can regulate ion entry, solvation reorganization, interfacial partitioning, intrapore migration, and release. This review examines three mechanistic categories—size and solvation sieving, chemical recognition, and dynamic gating—from the perspective of confined transport and ion–pore interactions, and compares their roles and coupling in systems of monovalent–monovalent, divalent–divalent, heterovalent, and chemically similar multivalent ions. We further distinguish selective adsorption, membrane enrichment, and transmembrane transport, and discuss how selectivity definitions, ion flux, feed composition, driving force, and operating time affect performance evaluation. Current research faces three major challenges: lack of comparability of performance data across different test conditions, insufficient direct evidence of ion solvation, site occupancy, and migration under operating conditions, and the complexity of feed streams. By adopting a sequential ion transport process as a unified conceptual framework, this review systematically compares separation mechanisms across diverse nanoporous materials, including MOFs, COFs, zeolites, 2D materials, microporous polymer membranes, ion-exchange membranes, biomimetic nanochannels, organic–inorganic composites, functionalized porous carbons, and biochars. This transport-process-oriented framework provides a general and mechanistic perspective for understanding and comparing selective ion separation across diverse nanoporous platforms.
SCIENCE CHINA Materials•2026•DOI: 10.1007/s40843-026-4288-1
The high-temperature oxidation resistance of Cr2AlC MAX phase ceramics is severely compromised by rapid Al depletion and the formation of a brittle sub-surface Cr7C3 layer. This study elucidates how trace Y2O3 doping (0.25 and 0.5 wt.%) modulates the oxidation behavior of Cr2AlC at 1100 °C. The incorporation of 0.5 wt.% Y2O3 significantly suppresses the parabolic rate constant compared to undoped counterparts. This kinetic suppression is attributed to the Reactive Element Effect (REE), where Y3+ segregation at α-Al2O3 grain boundaries inhibits outward Al3+ diffusion, shifting the scale growth mechanism to inward oxygen diffusion control. Consequently, this retarded Al consumption prevents the decomposition of the Cr2AlC substrate into Cr7C3. While undoped specimens fail due to volume contraction and Kirkendall voiding associated with the Cr7C3 interlayer, specimens with the most effective doping content within the investigated range maintain a stable, atomically sharp α-Al2O3/Cr2AlC interface devoid of voids and decomposition products. The superior adhesion of this interface is attributed to three synergistic factors: the elimination of volumetric mismatch induced by phase transformation, the mechanical interlocking provided by Y-rich oxide pegs, and the intrinsically higher interfacial bonding strength of the α-Al2O3/Cr2AlC system as confirmed by DFT calculations. These findings provide a mechanistic framework for designing oxidation-resistant MAX phase ceramics via reactive element doping.
SCIENCE CHINA Materials•2026•DOI: 10.1007/s40843-025-3694-3
Lithium metal anodes (LMAs) are among the most promising candidates for next-generation batteries with high energy density. However, their practical application is hindered by persistent challenges such as dendritic lithium growth, unstable solid electrolyte interphases (SEI), and poor Coulombic efficiency. Surface coating has emerged as a viable solution to address these limitations. In particular, atomic and molecular layer deposition (ALD/MLD) techniques offer unparalleled control over the fabrication of ultrathin, conformal coatings, making them especially suitable for stabilizing LMA interfaces. This review comprehensively summarizes recent progress in applying ALD and MLD methodologies to construct durable artificial interphases on LMAs. We discuss the underlying mechanisms through which these coatings inhibit dendrite formation, improve interfacial integrity, and facilitate uniform lithium-ion transport. The roles of inorganic ALD coatings, organic MLD coatings, and their organic–inorganic hybrids are systematically examined, with a focus on their chemical composition, deposition behavior, and electrochemical characteristics. Moreover, we highlight the enhanced performance achieved through the integration of ALD/MLD-engineered interfaces in full-cell systems. The review concludes with a discussion of current challenges and potential research avenues aimed at advancing the rational development of effective LMA protection strategies. Overall, this work offers valuable insights into the role of interfacial engineering via ALD and MLD in enabling the practical deployment of lithium metal batteries.
SCIENCE CHINA Materials•2026•DOI: 10.1007/s40843-025-3682-6
Metal single-atoms with optimized coordination structure on highly accessible substrate can maximize the metal utilization efficiency along with enhancing catalytic activities. Herein, axial nitrogen-coordinated Fe-N5 sites on N-doped carbon (denoted as FeN5@N-C) hollow microplates are fabricated via a unique Fe3+-chelated polydopamine assisted hollowing strategy using ZIF-L microplates as multifunctional templates. Due to the powerful chelating and adhesive ability of polydopamine, this hollow-carbon strategy can be extended to fabricate single-atom Fe-N-C hollow structures with different shapes and encapsulate other transition-metal single atoms (Ni, Co, Mn, and Cu) into the N-doped carbon hollow microplates. The FeN5@N-C hollow microplates exhibit outstanding oxygen reduction reaction (ORR) capability with an impressive half-wave potential of 0.93 V vs. reversible hydrogen electrode and high stability, which can serve as air-cathode catalysts for high-performance Zn-air batteries with high peak power density of 225.3 mW cm−2 and stable cyclability of up to 400 h. Comprehensive analysis and theoretical calculations elucidate that axial nitrogen coordination in Fe-N5 catalytic sites, unlike the planar Fe-N4 configuration, can compete well with the bonding of OH* through additional 3d-2p orbital hybridization, thereby giving moderate bonding strength to enhance the ORR activity.
SCIENCE CHINA Materials•2026•DOI: 10.1007/s40843-025-3722-3
Magnesium alloys are promising biodegradable bone implant materials due to their biocompatibility and mechanical compatibility, but rapid degradation and postoperative bacterial infection limit clinical application. Here, zeolitic imidazolate framework-8 (ZIF-8) and 3,4,9,10-perylenetetracarboxylic diimide (PD) composite coatings (ZIF-8@PD) were fabricated in situ on micro-arc oxidation (MAO) coated AZ31 alloys via two-step and one-step (OS) methods. The MAO/ZIF-8@PD and MAO/ZIF-8@PD (OS) coatings reduced corrosion current density by three and two orders of magnitude, respectively, compared to MAO coating, due to the physical barrier of the 2D-co-3D MOF structure. Under 808 nm near-infrared laser irradiation, photothermal and photodynamic effects from PD, combined with contact killing by released Zn2+ ions, achieved bactericidal rates ≥99.5% against E. coli and S. aureus. Photothermal conversion efficiencies were 44.01% and 48.57% for the two-step and one-step coatings, respectively. The distinct Zn2+ sources led to different 2D-co-3D MOF structures, influencing degradation and antibacterial behavior. These coatings offer a strategy to enhance corrosion resistance and antibacterial activity of Mg alloys for biomedical applications.
SCIENCE CHINA Materials•2026•DOI: 10.1007/s40843-025-3685-7
NiMo-based catalysts are promising for the hydrogen evolution reaction (HER), yet optimizing their electronic structure and enhancing mass transfer remain challenging. Here, we report a route to synthesize two-dimensional (2D) porous Mo2N-Ni heterojunction nanosheets with tuned Ni/Mo ratio for enhanced alkaline HER. The precursor is assembled from polyoxometalate clusters (PMo12) and layered Ni(OH)2. The interaction between PMo12 and Ni(OH)2 suppresses particle agglomeration during pyrolysis, yielding 2D porous sheets composed of small Mo2N-Ni units. Electron transfer from Ni to Mo2N redistributes electrons at the heterojunction, optimizing intermediate adsorption/desorption. The porous structure enhances mass transfer, reducing catalyst impedance. The optimized catalyst exhibits an overpotential of 19 mV at 10 mA cm−2, comparable to commercial Pt/C. An anion exchange membrane (AEM) electrolyzer pairing this catalyst with NiFe-LDH achieves 500 mA cm−2 at 1.80 V and operates stably for 300 h. This assembly method offers a scalable strategy for efficient catalyst production.
Journal of Environmental Engineering Technology•2026•DOI: 10.13205/j.hjgc.202604026
Polycyclic aromatic hydrocarbons (PAHs) are persistent organic pollutants ubiquitously present in soils, posing severe risks to ecosystems and human health. This study synthesized MIL-88A(Fe) via a hydrothermal solvent method and applied it to the photocatalytic degradation of phenanthrene-pyrene (PHE-PYR) composite contaminants in soil, investigating the adsorption-photocatalytic synergy. Results demonstrated that adsorption of PHE-PYR onto MIL-88A(Fe) was dominated by physical and monolayer surface adsorption, with a maximum adsorption capacity of 97.25 mg/kg. This strong adsorption increased pollutant concentration near active sites, accelerating photocatalytic degradation. Under optimal conditions—3% catalyst dosage, 40% soil water content, 60 min visible light irradiation, initial pollutant concentration of 200 mg/kg, and acidic soil—the total degradation efficiency reached 79.20%. Photoelectrochemical characterization revealed significant visible-light response (200–600 nm), a narrow bandgap of 3.04 eV, and favorable band structure facilitating efficient electron-hole separation. Quenching experiments identified superoxide radicals (·O2−) and holes (h+) as primary reactive species. GC-MS analysis of intermediates indicated that PYR undergoes hydroxylation, oxidation, and ring-opening to form PHE, which is further hydroxylated and oxidized, ultimately mineralizing to CO2 and H2O. This work provides an efficient strategy for remediating PAH-contaminated soils.
Journal of Fuel Chemistry and Technology•2026•DOI: 10.1016/S1872-5813(25)60626-8
The dense crystalline structure and limited accessibility of cellulose severely hinder its efficient catalytic conversion. In response, biomimetic solid acid catalysts inspired by cellulase binding domains (CBDs) have emerged as a promising strategy to enhance cellulose hydrolysis by mimicking the substrate recognition and enrichment functions of natural enzymes. This review systematically summarizes recent advances in the design of CBD-mimetic solid acids based on four representative strategies: electrostatic anchoring, hydrophobic microenvironment engineering, spatial confinement, and covalent lock-and-key mechanisms. The underlying principles of these approaches, including substrate-specific recognition, local concentration enhancement, and synergistic “adsorption-catalysis” effects, are critically discussed to elucidate their contributions in improving catalytic affinity, selectivity, and durability. Despite significant progress, challenges such as mass-transfer resistance and insufficient structural robustness remain in complex biomass conversion systems. Looking forward, the integration of sub-enzymatic materials, such as carbon quantum dots (CQDs), into biomimetic catalysts offers new opportunities to achieve efficient, recyclable, and hierarchically organized catalytic systems, thereby providing a powerful route for the sustainable valorization of cellulose and other lignocellulosic resources.
Journal of Environmental Engineering Technology•2026•DOI: 10.13205/j.hjgc.202606003
Membrane separation technology, offering high separation efficiency, low energy consumption, and operational flexibility, is promising for lithium recovery. However, selective lithium extraction from complex matrices such as salt lake brines and battery leachates remains challenging. Traditional membrane development relies on empirical trial-and-error, suffering from low efficiency and the permeability-selectivity trade-off. This review systematically delineates machine learning (ML)-based frameworks for membrane material development, including high-throughput rational screening, inverse design of synthesis protocols, and high-fidelity performance prediction. We elucidate how advanced ML algorithms decipher structure-activity relationships at the molecular level, enabling breakthroughs in performance ceilings and guiding bottom-up fabrication of next-generation membranes. Critical challenges are assessed: scarcity of high-quality standardized datasets, limited model interpretability, and poor generalizability to industrial scales. Future directions emphasize physics-informed hybrid models, open-source global databases, and full-process system optimization to bridge laboratory innovation and industrial deployment.
Journal of Environmental Engineering Technology•2026•DOI: 10.13205/j.hjgc.202607024
This study systematically investigated the effects of single and composite conditioning with lysozyme, amylase, and protease on sludge dewatering performance and carbon source recovery in filtrate from residual sludge of a water treatment plant in Foshan City. Results indicated that lysozyme significantly improved sludge dewatering by reducing specific resistance of filtration (SRF), capillary suction time (CST), and water content of the filtered sludge cake (Wc). While amylase and protease decreased Wc, they elevated SRF and CST, deteriorating sludge filtration properties. Among combined enzyme treatments, lysozyme and protease exhibited synergistic effects. The asynchronous addition strategy (protease/amylase followed by lysozyme) demonstrated the best performance in reducing Wc, while simultaneous addition was more effective in improving SRF and CST. Mechanistic analysis revealed that all three enzymes reduced sludge particle size. Lysozyme primarily targeted cell lysis and wall disruption, releasing intracellular substances, reducing viscosity, and enhancing sludge hydrophobicity. Meanwhile, amylase and protease mainly disrupted extracellular polymeric substances (EPS), leading to release of proteins and polysaccharides into slime EPS, increasing viscosity and hydrophilicity. Furthermore, all three enzymes effectively promoted carbon source release, increased soluble chemical oxygen demand (SCOD) of filtrate, and transformed recalcitrant humic acid-like organic matters into readily bioavailable tryptophan-like and tyrosine-like substances. These findings provide a basis for optimizing enzyme-based sludge conditioning to achieve simultaneous dewatering enhancement and carbon source recovery.
Journal of Fuel Chemistry and Technology•2026•DOI: 10.1016/S1872-5813(26)60710-4
Lignin pyrolysis is a promising route for sustainable production of high-value phenolic chemicals, yet the intricate radical reaction network remains a major bottleneck to optimizing product selectivity. This work constructs a standardized DFT computational database that systematically describes the fast pyrolysis of vanillyl alcohol at 823.15 K. The database features three key components: primary reaction pathways, thermodynamic energy barriers, and atomic-level electronic fingerprints. The dataset covers primary reaction pathways, secondary rearrangements, and both global and local reactivity indices of key intermediates. Notably, it innovatively integrates electronic-structure fingerprints, filling the gap in reaction-network–electronic-property correlation data. Standardized computational workflows and rigorous quality control ensure accuracy, consistency, and reproducibility. The public release of this dataset provides a reliable theoretical benchmark for mechanistic studies of lignin pyrolysis and offers foundational data support for rational design of new catalysts and refinement of reaction kinetic models. Ultimately, this database not only provides an important reference for data-driven catalyst development but also lays a theoretical foundation for precise regulation of lignin depolymerization.