SCIENCE CHINA Materials•2026•DOI: 10.1007/s40843-026-4212-x
Idiopathic pulmonary fibrosis (IPF) is a lethal interstitial lung disease with limited therapeutic options. Current treatments, such as nintedanib and pirfenidone, target downstream fibrosis but fail to address the upstream drivers, including persistent alveolar epithelial injury and abnormal repair. This study presents an inhalable, reactive oxygen species (ROS)-responsive liposomal system (SAB/GC-1@Lip-cRGD) that co-delivers the antioxidant salvianolic acid B (SAB) and the thyroid hormone receptor β (TRβ) agonist Sobetirome (GC-1). The liposomes are surface-modified with cRGD peptides for targeted delivery to fibrotic lesions and possess a negative surface charge to enhance mucus penetration. In the high-ROS fibrotic microenvironment, the liposomes destabilize, releasing SAB and GC-1. SAB scavenges ROS to remodel the fibrotic niche, while GC-1 reactivates TRβ signaling, driving the differentiation of stalled Krt8+ transitional epithelial cells into functional alveolar type I (AT1) cells. In a mouse model of pulmonary fibrosis, SAB/GC-1@Lip-cRGD significantly reduced pro-inflammatory cytokines (TNF-α, IL-1β, IL-6) and TGF-β1 in bronchoalveolar lavage fluid and lung homogenates. The proportion of CD206+ M2 macrophages decreased from 27.4% in the model group to 6.2% after treatment, indicating potent anti-inflammatory and anti-fibrotic effects. This synergistic strategy of microenvironment remodeling and epithelial regeneration achieved robust collagen depletion, restoration of alveolar integrity, and recovery of pulmonary function, outperforming single-drug or non-targeted formulations. The work provides a generalized paradigm for integrating microenvironment regulation with regenerative repair in pulmonary diseases.
SCIENCE CHINA Materials•2026•DOI: 10.1007/s40843-026-4423-y
Copper-based conductor materials, particularly copper foils, are indispensable for integrated circuit substrates and lithium battery current collectors. The progressive miniaturization of electronic devices demands foils thinner than 10 μm, yet achieving simultaneous ultra-high strength, high ductility, high electrical conductivity, and thermal stability remains a principal bottleneck. Rolled copper foils offer strengths of 200–500 MPa and conductivities of 97–100% IACS, but face production stability limits at reduced thicknesses. Electrolytic copper foils achieve strengths of 600–700 MPa via nanocrystalline refinement but suffer from poor thermal stability and room-temperature self-annealing. Only specialized alloys like Cu-Cr-Zr and Cu-Ag reach the 'double-70' benchmark (strength >700 MPa, conductivity >70% IACS). This highlight reports a transformative advance by Lu's research group, achieving 'double-90' properties (tensile strength >900 MPa, electrical conductivity >90% IACS) in pure copper foils through a gradient super-nano domain (GSD) structure. The GSD architecture, fabricated via electrodeposition under industrial conditions, comprises periodically distributed domains with semi-coherent interfaces and solute atoms (C, O, Cl) that minimize electron scattering. This innovation overcomes the traditional strength-conductivity trade-off, offering a scalable route to high-performance copper foils for advanced chip interconnects, flexible electronics, and ultrathin battery current collectors.
SCIENCE CHINA Materials•2026•DOI: 10.1007/s40843-025-3733-2
Irreversible sodium loss, primarily caused by solid electrolyte interphase (SEI) formation during initial cycling, significantly degrades the capacity of sodium-ion batteries by depleting active sodium. While pre-sodiation mitigates initial sodium loss, it fails to address continuous loss throughout the battery lifecycle. To overcome this limitation, we propose a sustained sodium compensation strategy utilizing activation-releasing systems. Key to this approach are high-capacity sodium compensators, Na2C2O4 and Na2C4O4, supported on a B and N co-doped Mo2C-W2C (MoW-C) heterostructure catalyst. This configuration enables efficient sodium release at charging voltages of 3.53 and 3.78 V, respectively. By integrating the sodium supplement agent onto the separator, and precisely controlling voltage and charge, multiple sodium replenishment is achieved over the entire battery lifecycle. This strategy reduces initial active sodium loss by 36.53%. Furthermore, a single activation during subsequent usage provides an additional 0.115 mAh cm−2 of active sodium. As a result, the cell exhibits exceptional cycling stability, with a capacity loss of only 0.059% per cycle over 350 cycles at 0.5 C.
SCIENCE CHINA Materials•2026•DOI: 10.1007/s40843-025-3942-2
Anode-free sodium metal batteries (AF-SMBs) are promising for high-energy, low-cost energy storage, but suffer from interfacial instability due to sluggish Na+ kinetics and non-uniform deposition. Here, we report a scalable electrospinning-pyrolysis route to anchor FeCoNiCuMn high-entropy alloy (HEA) nanoparticles on N-doped carbon nanofibers (HEANCF). Density functional theory (DFT) calculations reveal high binding energy toward Na atoms, facilitating desolvation and adsorption. A built-in electric field (BIEF) arises from work function differences, driving electron redistribution and guiding uniform Na+ diffusion. The heterostructure also shows strong affinity for PF6− anions, promoting NaF-rich SEI formation that suppresses electron tunneling and parasitic reactions. Full cells with Na3V2(PO4)3 cathodes achieve 80% capacity retention after 600 cycles at 1 C. Ah-level pouch cells deliver ~200 Wh kg−1 and retain 87% capacity after 150 cycles at 0.5 C. This work establishes a coherent interfacial-kinetics framework for practical AF-SMBs.
SCIENCE CHINA Materials•2026•DOI: 10.1007/s40843-025-3979-3
The escalating prevalence of multidrug-resistant Pseudomonas aeruginosa (P. aeruginosa) infections necessitates novel antibacterial strategies. Here, we engineered lectin B (LecB)-targeted glyco-dots (TFP2F) via self-assembly of a photosensitizer (TFP2) possessing aggregation-induced reactive oxygen species (ROS) generation capability with fucose-modified tetraphenylethene glycoclusters (TPE-Fuc4), enabling P. aeruginosa-targeted antimicrobial photodynamic therapy and wound healing promotion. Three photosensitizers (TFP0–2) featuring an “A-D-A” electronic structure were synthesized, exhibiting broad absorption bands and near-infrared (NIR) fluorescence. Among these, TFP2 demonstrated superior Type-I/II ROS production (including ·OH, ·O2−, and 1O2), achieving potent phototoxicity against P. aeruginosa (MIC80 = 7.5 μM). Self-assembly with TPE-Fuc4 yielded glyco-dots TFP2F that facilitated LecB-mediated bacterial targeting, enhanced bacterial uptake, and significantly reduced the MIC80 to 2.5 μM against drug-resistant P. aeruginosa under light irradiation. In a murine P. aeruginosa-infected wound model, TFP2F treatment combined with light irradiation accelerated wound closure to <20% of the initial area by day 8 (vs. >40% in controls) and eliminated >95% of bacteria by day 2. This work presents a convenient strategy for constructing glyco-dots as a potent functionalized platform for precision, lectin-targeted antimicrobial photodynamic therapy.
Journal of Fuel Chemistry and Technology•2026•DOI: 10.1016/S1872-5813(26)60665-2
Levulinic acid (LA) is a promising platform product with wide industrial applications. Efficient conversion of cellulose into LA has become a research hotspot, yet traditional experimental optimization is time-consuming and inefficient. This study integrates multidimensional data—reaction conditions, solvent properties, and physicochemical characteristics of metal salts—to construct a systematic dataset. Six machine learning models (decision tree, gradient boosting regression, K-nearest neighbors, multilayer perceptron, random forest, and support vector machine) were developed to predict LA yield. The gradient boosting regression (GBR) model achieved the best performance, with a test-set determination coefficient (R²) of 0.94 and the lowest root-mean-square error (RMSE). SHapley Additive exPlanations (SHAP) and partial dependence analysis identified water fraction, catalyst dosage, and reaction temperature as the key factors influencing LA formation. By integrating the GBR model with particle swarm optimization (PSO), RuCl₃ was identified as an efficient catalyst under high-temperature and short-reaction-time conditions. This study demonstrates the potential of machine learning in cellulose conversion research, providing a data-driven strategy and theoretical guidance for efficient and green LA production.