SCIENCE CHINA Materials•2026•DOI: 10.1007/s40843-025-3634-0
Messenger RNA-lipid nanoparticle (mRNA-LNP) vaccines have demonstrated extraordinary efficacy against severe acute respiratory syndrome coronavirus 2, establishing LNPs as the premier platform for mRNA therapeutics. However, the pervasive presence of anti-polyethylene glycol (PEG) antibodies undermines PEGylated LNP performance by diminishing therapeutic efficacy. To address this challenge, we synthesized a panel of lipid-poly(2-oxazoline) (lipid-POx) conjugates as alternatives to lipid-PEG and systematically evaluated how their polymer backbone, degree of polymerization, and lipid tail structure influence LNP physicochemical properties and mRNA delivery performance. Among POx-LNPs formulated with heptadecan-9-yl 8-((2-hydroxyethyl)(6-oxo-6-(undecyloxy)hexyl)amino)octanoate (SM-102) as the base lipid, those constructed with single-tailed C18-POx exhibited smaller particle sizes and superior freeze-thaw stability. These C18-POx-LNPs maintained comparable in vivo transfection efficiency to PEG-LNPs even when fully replacing 1,2-dimyristoyl-sn-glycero-3 (DMG)-PEG. Notably, in mice bearing pre-existing anti-PEG antibodies, C18-POx-LNPs demonstrated over 200-fold higher transfection efficiency than PEG-LNPs. Additionally, repeated administration of POx-LNPs induced dose-dependent anti-POx immunoglobulin M (IgM) and IgG responses, with antibody titers inversely correlated with POx hydrophilicity. This study underscores the effectiveness of substituting PEG with POx in LNP construction to address the transfection efficiency in populations with pre-existing anti-PEG antibodies, and would inspire the development of more hydrophilic polymers for LNP formulation.
Journal of Environmental Engineering Technology•2026•DOI: 10.13205/j.hjgc.202605021
The digestate from anaerobic digestion of food waste is separated into solid residue and liquid filtrate. The filtrate retains high nutrient and carbon content, making it a viable resource for recovery. This study prepared biochar from food waste digestate residue and employed it as an electrode active material in a flow-electrode capacitive deionization (FCDI) system, with activated carbon as a control, to assess nitrogen and phosphorus removal from kitchen waste biogas slurry. ZnCl₂ modification significantly enhanced the biochar's specific surface area, adsorption capacity, capacitance, and conductivity. The optimal mass fraction of modified biochar in the electrode liquid was 7.5%. In simulated digestate, the FCDI system achieved removal efficiencies of 47.7% for NH₄⁺-N and 55.2% for reactive phosphorus (RP) over 12 hours. Performance ranking of electrode materials was activated carbon > ZnCl₂-modified biochar > unmodified biochar. In continuous operation with actual anaerobic digestion filtrate, maximum removal efficiencies were 32.2% for NH₄⁺-N and 26.2% for RP. The reduced performance in real digestate is attributed to organic foulants such as peptides and amino acids, which block ion-exchange membrane channels, increase membrane resistance, and impede ion transfer and charge transport, thereby diminishing deionization efficiency.
SCIENCE CHINA Materials•2026•DOI: 10.1007/s40843-026-4123-0
Aqueous aluminum-ion batteries (AAIBs) are promising for large-scale energy storage due to safety, sustainability, and theoretical high capacity. However, sluggish electron/ion transport in conventional cathodes limits rate capability. Here, we first propose high-entropy engineering of metal oxides (HEOs) as cathodes in AAIBs, leveraging the 'cocktail effect' and abundant electron transport pathways to enhance rate-capacity. Atomic-level interactions between different metal atoms broaden the d-band with reduced electronic level degeneracy, facilitating rapid electron transport, achieving one of the best rate capabilities (119.4 mAh g−1 at 10.0 A g−1) among metal-oxide cathodes. The disordered layered oxides formed with a high-entropy framework alleviate electrostatic repulsion between aluminum ions and the fixed lattice, mitigating structural degradation and imparting excellent cycling stability (over 95.1 mAh g−1 after 500 cycles at 2.0 A g−1). The optimized HEO-Cr cathode (Fe0.6Co0.6Ni0.6Mn0.6Cr0.6O4) exhibits outstanding rate performance and cycling stability. DFT simulations and electrochemical tests reveal that multi-transition metal incorporation, bandgap narrowing, and unique lattice structure drastically enhance electron transport efficiency. The layered phase formed after cycling, based on a high-entropy framework, overcomes challenges from high charge density aluminum ions, significantly enhancing cycling stability. This work paves the way for high-performance AAIBs and other aqueous multivalent metal ion batteries by rationally designing high-entropy engineering.
SCIENCE CHINA Materials•2025•DOI: 10.1007/s40843-025-3507-9
Quantum dot (QD)-based memristors enable precise and energy-efficient neuromorphic computing through atomic-level control over electrical synapse performance. However, the stochastic nature of QD structures results in poor reliability of resistive switching, limiting practical applications. This work presents a data-driven QD synthesis optimization loop that integrates high-throughput density functional theory with machine learning to establish a cross-scale screening platform for precise QD synthesis. By minimizing structural disorder through pure phase, uniform size distribution, and highly preferred orientation, QD-based memristors demonstrate a 57% reduction in switching voltage, a two-order-of-magnitude increase in ON/OFF ratio, and endurance and retention degradation as low as 0.1% over 8.4 × 10^7 s of continuous operation and 10^5 rapid read cycles. The dynamic learning range and neuromorphic computing accuracy improve by 477% and 27.8% (reaching 92.23%), respectively. These findings establish a scalable, data-driven strategy for rational design of QD-based memristors, advancing next-generation reliable neuromorphic computing systems.