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/s40843-026-4294-4
Room-temperature phosphorescence (RTP) polymer materials are attractive for flexible electronics and information encryption due to their tunability and processability. However, achieving polymeric RTP systems that simultaneously exhibit high thermal sensitivity, reversible multicolor emission, and long phosphorescence lifetime (τPhos) with high quantum yield (ΦPhos) remains challenging. Here, we report an in-situ cross-linked self-assembly strategy that converts flexible polymers into rigid polymer microspheres, yielding long τPhos, high ΦPhos, and thermally and time-dependent tunable RTP. The resulting microspheres (PM0.1-0.01-1) exhibit a maximum τPhos of 1754 ms and ΦPhos of 42.83%, markedly superior to previously reported intrinsic polymer RTP materials. At 77 K, they display ultralong green emission with a lifetime of 6019 ms and visible afterglow lasting up to 99 s. The cross-linked microspheres enable time-dependent, continuously tunable RTP and thermally responsive color switching, while maintaining excellent phosphorescence stability in aqueous and high-temperature environments. This provides a versatile platform for dynamic information encryption, full-color afterglow LEDs, and temperature sensing. The strategy establishes a general design principle for developing multidimensional, controllable, and stable high-performance polymer RTP materials.
SCIENCE CHINA Materials•2026•DOI: 10.1007/s40843-026-4300-3
The power conversion efficiency (PCE) of organic solar cells (OSCs) has surpassed 21% with the donor polymer D18, yet its processing from non-halogenated solvents like ortho-xylene (o-XY) remains inefficient due to uncontrolled film formation kinetics. Here, we systematically synthesize D18 polymers with molecular weights ranging from 41.6 kDa to 70.9 kDa to modulate crystallization kinetics. In-situ film drying studies reveal that lower molecular weights accelerate solidification, leading to excessive aggregation, while higher molecular weights slow it, causing insufficient phase separation. A medium molecular weight (D18-M) achieves a balanced crystallization rate, promoting favorable morphology and yielding a PCE of 20.55% with L8-BO as acceptor—one of the highest reported for non-halogenated solvent-processed OSCs. Energy loss analysis indicates that although low-molecular-weight polymers exhibit higher intrinsic luminescence, the blend film's emission is governed by exciton environment, which is dictated by morphology. This work underscores the critical role of molecular weight in controlling film formation and morphology, offering a simple yet effective strategy for high-efficiency, environmentally friendly OSCs.
The Chinese Journal of Process Engineering•2026•DOI: 10.12034/j.issn.1009-606X.225225
The non-Newtonian rheological properties of plastic melts are critical for regulating plastic processing, molding, and recycling processes, ensuring processing stability and product performance. However, rheological data for commonly used plastics and their blends remain incomplete. This study combined experimental testing and theoretical modeling to investigate the rheological behaviors of four pure plastics—polypropylene (PP), polyethylene (PE), polystyrene (PS), and acrylonitrile-butadiene-styrene copolymer (ABS)—and three binary blend systems: PE/ABS, PP/ABS, and PS/ABS. Rheological tests were conducted using a rheometer over a shear rate range of 0.1–100 s⁻¹ and temperatures from 180°C to 250°C. Results showed that the flow behavior index n was less than 1 for all samples, and apparent viscosity decreased significantly with increasing shear rate, indicating clear shear-thinning behavior. The consistency coefficient K followed the Arrhenius relationship with temperature, and melt viscosity decreased as temperature increased. The study quantitatively characterized the relationship between the mass fraction m (0.5 < m ≤ 1) of the main component in binary blends and melt viscosity. Based on experimental data, a component correction term was introduced into the traditional power-law model to construct a constitutive equation that simultaneously describes the effects of shear rate, temperature, and component fraction on melt viscosity. The average relative error between model predictions and experimental values was only 5.90%. These rheological data and the modified constitutive equation provide important theoretical support and data reference for optimizing process parameters in waste plastic recycling and injection molding.
SCIENCE CHINA Materials•2026•DOI: 10.1007/s40843-025-3863-x
Lead-free double perovskites are promising for optoelectronic applications due to their tunable optical properties, stability, and non-toxicity. However, achieving efficient ultrabroadband near-infrared (NIR) emission and X-ray radioluminescence (RL) simultaneously remains challenging. Here, we report a Mo4+-doped Cs2(Na0.4Ag0.6)InCl6 double perovskite that exhibits efficient blue-light-excitable NIR emission with a near-unity photoluminescence quantum yield. The emitter demonstrates robust thermal stability, retaining 84% of its initial emission intensity at 420 K relative to 300 K. Under X-ray irradiation, the material shows bright NIR RL with a high light yield of 39,400 ± 1100 photons/MeV. A flexible film of Mo4+-doped Cs2(Na0.4Ag0.6)InCl6/polydimethylsiloxane (PDMS) was fabricated and applied as an NIR light source and X-ray scintillator. A dual-functional platform for cooperative NIR and X-ray imaging was established using a bullfrog palm as the target, achieving pixel-level fusion of NIR and X-ray images without spatial mismatch or complex image processing. The fused image simultaneously visualizes blood vessels and skeleton textures under the skin tissue. This work provides a viable strategy for lead-free double perovskites in advanced optoelectronic devices, particularly for multispectral imaging.
Environmental Chemistry•2026•DOI: 10.7524/j.issn.0254-6108.2026022502
This study investigates the effects of different land use types on topsoil carbon (C) and nitrogen (N) contents and their spatial distribution in the lower reaches of the Sancha River Basin, a karst region of the Yunnan-Guizhou Plateau. Grid sampling collected 0–20 cm topsoil from forestland (n=23), cultivated land (n=25), and grassland (n=32). Total C and N were measured. Results showed that topsoil C content followed grassland (40.36±22.92 g·kg−1) > forestland (37.05±12.83 g·kg−1) > cultivated land (34.06±14.57 g·kg−1), while N content followed forestland (2.89±0.76 g·kg−1) > grassland (2.67±1.19 g·kg−1) > cultivated land (2.50±0.65 g·kg−1). One-way ANOVA revealed no significant differences among land use types (P>0.05). Soil C and N were significantly positively correlated across all land uses (r>0.5, P<0.001). Coefficient of variation (CV) indicated grassland had the highest C variability (0.57), while forestland showed the most stable C and N (CV=0.35 and 0.26, respectively). Cultivated land had CVs of 0.43 for C and 0.26 for N. Spatially, forestland exhibited concentrated high C values with significant N heterogeneity; grassland had higher C in southern and eastern areas but scattered distribution, with generally low and variable N; cultivated land showed uniform but lowest C and N. Land use types significantly drive topsoil C and N dynamics through vegetation input, soil disturbance, and management practices, underscoring the importance of rational land use planning for enhancing carbon sink functions and sustainable development in karst watersheds.
Journal of Environmental Engineering Technology•2026•DOI: 10.13205/j.hjgc.202607023
The rapid population growth and accelerating urban development have made the comprehensive utilization of municipal sludge (MS) an urgent challenge. MS contains substantial organic matter and essential nutrients for crop growth, making it a promising soil amendment for the ecological restoration of mine waste rock. However, research evaluating the impact of MS application on soil health and ecological safety from a soil microbiology perspective remains understudied. Therefore, this study investigated the effects of MS and composted municipal sludge (CMS) on the ecological restoration of mine waste rock soil through pot experiments. High-throughput sequencing technology was employed to analyze changes in soil microbial community structure and diversity. Finally, network analysis and correlation heatmaps were utilized to elucidate the microbial driving mechanisms. The results indicated that after MS and CMS application, organic matter content increased from 20.38 g/kg (Level 3) to 38.52 g/kg (Level 2). The levels of available nitrogen, phosphorus, and potassium rose from Level 4, 6, 2, to Level 1, 4, 1, respectively. Fresh weight, aboveground height, root length, and stem diameter of ryegrass all increased significantly. Venn diagram and heatmap analyses indicated that lower application rates (<1.5 kg/m²) enhanced microbial community richness and diversity. This study confirms municipal sludge as an effective amendment for mine waste rock soil. It is recommended to limit application rates below 1.5 kg/m² in practical mine ecological restoration projects, with particular attention to long-term dynamics of heavy metals and salinity to ensure safe and sustainable land reuse.
Journal of Fuel Chemistry and Technology•2026•DOI: 10.1016/S1872-5813(26)60762-1
The CO2 dry reforming of methane (DRM) is pivotal for CO2 utilization within the dual-carbon framework, offering advantages in carbon reduction and value-added chemical production. However, shaped catalysts suitable for industrial-scale DRM remain limited. This work constructs a monolithic catalyst using honeycomb cordierite as the structural support, systematically investigating the effects of organic and inorganic binders on coating structure and catalytic performance. Comparative studies reveal that the active coating fabricated with inorganic aluminum sol exhibits a continuous uniform morphology and excellent adhesion strength. During high-temperature calcination, elemental diffusion within Al2O3 networks bridges the cordierite surface with active catalyst particles, forming a (Ni-Mg)AlxO4 composite structure. This creates robust metal-support interactions between active sites and the residual alumina matrix. The interconnected mesoporous framework provides superior pore confinement, contributing to strong coating adhesion, enhanced activity, and improved resistance to carbon deposition in the monolithic m-NCM-Al-sol catalyst. In contrast, coatings derived from inorganic silica sol suffer from detachment and activity loss due to heterogeneous surface structures and poor adhesion. Organic binders demonstrate inferior performance in macroscopic coating uniformity, adhesion strength, mesoporous confinement, and localized electronic effects, resulting in the poorest catalytic performance. By optimizing aluminum sol coating parameters—binder content, active component dosage, and coating cycles—a synergistic balance between coating thickness and mass transfer is achieved. The optimized catalyst demonstrates excellent DRM performance, providing insights for constructing high-performance shaped catalysts with cordierite coatings.
SCIENCE CHINA Materials•2026•DOI: 10.1007/s40843-025-4030-y
In the era of artificial intelligence, efficient perception and processing of massive visual information demand advanced machine vision systems. Inspired by human visual adaptation, various optoelectronic devices have been developed, yet most rely on external gate voltages or complex circuits for dynamic sensitivity modulation. This work demonstrates an all-optically controlled biomimetic sensor based on a one-dimensional ZnO/MAPbBr3 heterojunction, achieving both positive and negative photoconductivity effects. By modulating oxygen vacancy states with ultraviolet light, the competition between intrinsic photoconduction and trap-mediated carrier capture is regulated, enabling dynamic control of visible-light photoresponse within a single device. This tunable behavior mimics scotopic adaptation (photopigment regeneration under weak illumination), photopic adaptation (photopigment bleaching in bright environments), and eyelid-like self-protection against intense light. The device operates without external gate bias or cascaded circuits, offering a promising strategy for next-generation intelligent biomimetic sensors in machine vision.