Nature Communications
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2026
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IF 18.1
Tang Jie,He Yuan,Guo Ruiqi,Hu Qiao,Yao Yuanji,Zhu Zicai,Zhang Dayu,Wei Hongbo,Li Xinyu,Kawamoto Masuki,Lee Sunghoon,Someya Takao,Lv Jian,Li Peng
Ultrasensitive detection of low-frequency and weak-pressure stimuli is crucial for non-invasive wearable physiological signal monitoring, human-machine interfaces, and sonar technologies. Hydrogels, with their low elastic modulus, high conformability, and tunable functionality, have been explored as suitable candidate materials for transduction of such signals. However, conventional hydrogel-based sensors lacking effective interfacial integration or surface engineering are often constrained by weak interfacial adhesion and microstructural fragility, resulting in compromised signal stability. Therefore, overcoming these limitations requires a robust interfacial design that can simultaneously enhance mechanical robustness and stabilize signal transmission. Here, we report a root-inspired hydrogel-electrode interface that integrates dendritic metallic nano-roots interfacial locking and monolithically fabricated microarray architectures. This nano/micro-hierarchical interface synergistically enhances sensing performance through amplified electrical double-layer capacitance, providing an ultralow detection limit of ~0.38 Pa, a gauge factor of 6.0 in the low-pressure region, reliable responses across 50-900 Hz, and stable performance. This strategy offers a versatile approach for realizing robust and ultrasensitive hydrogel-based sensors operating under weak and low-frequency stimuli.
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Scientific Reports
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2026
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IF 4.9
Pan Ling,Tao Yubo,Li Peng
Humidity-driven smart materials have attracted increasing attention due to their capability of autonomous actuation without external energy input, offering significant potential in soft robotics and adaptive systems. However, natural polymer-based actuators often suffer from insufficient mechanical strength and limited structural stability, which restrict their practical applications. In this study, a novel biomimetic water-driven actuator was developed based on silane-modified microcrystalline cellulose (KMCC) and fish bladder gelatin (FG). A bilayer anisotropic structure inspired by natural hygroscopic systems was designed, and the effects of KMCC content and structural parameters on deformation behavior were systematically investigated through experimental characterization and finite element simulation. The results demonstrate that the incorporation of KMCC significantly enhances the mechanical and thermal properties of the composite hydrogel. The tensile strength increased from 0.258 MPa (pure FG) to 0.477 MPa at 10% KMCC, while the thermal decomposition temperature improved by approximately 11.81 °C. The actuator exhibited excellent reversible deformation behavior, with a maximum bending curvature of 0.083 at 10% KMCC content. Increasing KMCC content led to reduced deformation amplitude but improved structural stability. Furthermore, the actuator achieved controllable twisting deformation, with a maximum torsion angle of 2.04π and deflection of 66.93 mm at a 20° layer angle. Finite element simulation results were in good agreement with experimental data, confirming the reliability of the deformation mechanism. he deformation mechanism is governed by moisture diffusion and hydrogen bond reconstruction, which induce anisotropic volume changes and interfacial stress mismatch in the asymmetrical structure. This study provides a feasible strategy for enhancing the performance of water-driven actuators through material interface modification and structural design, offering new insights for the development of high-performance smart materials in soft robotics and adaptive systems.
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Nano-Micro Letters
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2026
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IF 38.5
Yuxuan Jiang,Bingxin Sun,Mohsen Shakouri,Bin He,Wang Zhang,Ran Wang,Tianxiao Sun,Huan Pang
Aqueous zinc-iodine batteries (AZIBs) show promise for grid-scale energy storage, but they are hampered by polyiodide shuttling, sluggish iodine redox kinetics, and irreversible active-site poisoning caused by uncontrolled adsorption. We provide a comprehensive screening of M 1 (M 1 = P, S, B) heteroatom dopants, and P is identified as the best candidate for achieving coordination-tuned, moderate adsorption that balances adsorption and catalytic activity while mitigating site poisoning. Using phytic acid as both the P source and an etchant, we create a universal in situ approach to core–shell single-atom catalysts (M 2 -P-CSNC, M 2 = Fe, Co, Ni). The unique core–shell structure achieves stable confinement of polyiodides, rapid ion transport, and protection of active sites, while in situ P doping precisely regulates the local electronic environment and d -band center of the Fe–N x active centers. In situ characterization confirms that Fe–P-CSNC has a strong reversible anchoring ability for polyiodides, which can significantly accelerate redox kinetics. The optimized Fe–P-CSNC/I 2 exhibits almost no capacity decay after 20,000 cycles at a current density of 2 A g −1 . This work’s facile heteroatom doping strategy for electronic modulation offers a reference for high-performance catalyst design in conversion-type energy storage systems. Kindly check and confirm the edit made in the title.1. We have checked and confirmed the edited title.2. We found some issues with Figure 3d and have uploaded the revised image as an attachment.
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Nature Communications
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2026
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IF 18.1
Zhao Yongqi,Wang Pu,Jiang Junjie,Zhao Ziwei,Xiu Aorui,Liu Xiaolong,Zhu Tingyu
Transition-metal oxides offer a low-cost alternative to precious metals for environmental catalysis, yet CO oxidation under humid and sulfur-laden conditions remains challenging due to rapid poisoning. Herein, we report an atomic dispersion of Ti‑decorated MnO x -Fe 2 O 3 catalyst that achieves high activity and remarkable H 2 O/SO 2 resistance. Atomically dispersed Ti provides electron-accepting 3d states from O 2p orbitals, which redistributes and stabilizes selected O 2p states while modifying their hybridization with neighboring Mn/Fe 3d orbitals. The localized electronic restructuring strengthens CO adsorption and facilitates lattice oxygen activation via a Mars-van Krevelen (MvK)-like mechanism, lowering the apparent activation energy to 64.59 kJ/mol. Simultaneously, Ti-O-Fe interfaces weaken SO 2 adsorption (from −1.96 eV to −0.19 eV) and suppress H 2 O competition, retaining >55% CO conversion under 10 vol% H 2 O and 10 ppm SO 2 , far surpassing the parent oxide (<10%). The orbital tuning strategy enables scalable poison resistant catalysts for industrial emission control, reducing reliance on precious‑metal systems.
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NATURE MATERIALS
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2026
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IF 38
Zhang Bowen,Jiao Menghan,Xu Xiao,Zhou Jiazheng,Wang Jinlin,Guo Tan,Li Yuan,Wang Jingchen,Chen Shudan,Li Yiming,Shi Jiangjian,Wu Huijue,Luo Yanhong,Li Dongmei,Meng Qingbo
Environmentally benign and earth-abundant kesterite Cu 2 ZnSn(S,Se) 4 (CZTSSe) solar cells have advanced rapidly through solution-based processing. However, scaling from laboratory-scale devices to modules remains a major challenge, largely because complex coordination networks in the precursors hinder the formation of uniform large-area films. Here we show that molecular-level regulation of metal–organic coordination can suppress the formation of cross-linked networks in precursor solutions, promoting efficient solvent removal and uniform selenization and crystallization. This coordination-controlled strategy enables the blade coating of highly homogeneous films over 10 cm 2 , realizing certified efficiencies of 14.2% for 1 cm 2 cells and 13.0% for 10.5 cm 2 modules, representing a leap-forward improvement in scalable kesterite photovoltaics. Beyond performance, the provided molecular insights into kesterite solution chemistry facilitate establishing a scalable and low-cost route towards industrial deployment of this thin-film solar technology.
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Nature Communications
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2026
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IF 18.1
Jin Shanyuhan,Xu Daliang,Xu Peiwen,Yin Kangwei,Du Jiaxin,Chen Han,Fan Jinling,Liang Heng,Wu Zhongbiao,Wu Xuanhao
Electrochemical nitric oxide reduction (NORR) under industrially relevant dilute feeds is fundamentally limited by insufficient interfacial NO coverage and rapid loss of reactive intermediates. Here we introduce quantifiable nanoconfinement as a coverage-regulation strategy for NORR in the ppm regime. Hollow multishelled Cu 2 O nanoreactors are constructed as a model system, in which shell number defines confinement depth and progressively strengthens confinement by narrowing inter-shell cavities. Under a 1000 ppm NO feed, the three-shell catalyst achieves a Faradaic efficiency of 97.9% and a single-pass NO conversion of 97.3%, which is competitive with systems operating under NO-rich conditions. Finite-element simulations quantitatively show that multishell confinement nonlinearly amplifies intermediate enrichment, increasing local *H and *NH concentrations by over an order of magnitude relative to the single-shell structure while also enhancing local NO coverage. Coverage-dependent density functional theory and transition-state calculations reveal that the confinement-modulated coverage environment reshapes the NORR kinetic and thermodynamic landscape by rebalancing initial *NO hydrogenation and NH 3 desorption, defining a favorable coverage window that balances intermediate activation and product release. These findings establish nanoconfinement-enabled coverage engineering for electrocatalysis under dilute feeds.
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Journal of Analysis and Testing
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2026
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IF 9.4
Liang Bo,Qing Qi,Luo Junhan,Liu Shuang,Wang Zhe,Chen Jing,Lu Yuexiang
Laser-induced breakdown spectroscopy (LIBS) exhibits significant potential for the rapid analysis of uranium (U) in molten salts during the electrorefining of spent nuclear fuel. However, its quantitative accuracy, particularly for high-concentration U, is still constrained by inadequacies in data analysis methods. Herein, we proposed a machine-learning (ML)-enhanced LIBS modeling flow, encompassing steps of data preprocessing, feature extraction, and model training, which achieved accurate quantification of high-concentration U (up to 20 wt%) in solidified LiCl-KCl-UO 2 Cl 2 molten salt. The partial least squares regression (PLSR) algorithm was employed to build the quantitative model, resulting in better performance than the univariate linear regression (ULR) model. To further enhance predictive accuracy, the channel baseline correction (CBC) and channel internal standard (CIS) preprocessing methods were developed. Finally, two feature extraction algorithms, the competitive adaptive reweighted sampling (CARS) and uninformative variables elimination (UVE), were evaluated. The results demonstrated that the integration of CBC, CIS, CARS, and PLSR constituted the optimal modeling flow, achieving a low cross-validation root mean square error of prediction (CV-RMSE p ) of 0.3092 wt%. The optimal modeling flow improved the prediction performance (evaluated by CV-RMSE p ) by 57.42% relative to the best conventional model (internal standard combined with ULR) and by 82.32% relative to the ULR model without spectral preprocessing. The ML-enhanced LIBS modeling flow proposed in this work is expected to overcome the obstacle of precise quantification of high-concentration U and other ions in liquid molten salt systems.
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Molecular Biomedicine
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2026
·Vol. 7
·期 1
·122
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IF 13
Wang Yifei,Xu Jinghan,Chen Yiquan,Xiao Xin,Zhu Yiru,Yu Liyang,Shi Wen,Li Jingchao,Li Jianhua,Zhu Chenggang
The COVID-19 pandemic and its protracted consequences underscore the urgent need for more effective antiviral strategies. Current antiviral strategies face a persistent challenge achieving sufficient viral suppression while minimizing off-target toxicity, particularly against such highly mutable viruses. Here, we describe a Receptor-Drug Conjugate (RDC) strategy, in which a therapeutic payload is covalently linked to a decoy receptor, enabling virus-triggered targeted intracellular delivery. Angiotensin-converting enzyme 2 (ACE2), as the essential receptor for SARS-CoV-2 entry, has been widely exploited for virus-neutralizing strategies. Targeting SARS-CoV-2 as a proof-of-concept, we conjugated peptide nucleic acids (PNAs) designed to target the viral ORF1ab region (±30 bp) to ACE2-Fc. The ACE2-PNA conjugate demonstrated superior inhibitory efficacy against multiple SARS-CoV-2 variants relative to ACE2-Fc alone. We confirmed that ACE2-PNA retains the extracellular neutralization activity of soluble ACE2, while being selectively internalized into virus-infected cells via virus-mediated endocytosis. Owing to its inherent protease resistance, the PNA component remains intact upon cytoplasmic entry and subsequently exerts antisense inhibitory activity against viral RNA. The mechanistic feasibility of ACE2-PNA was further validated in a mouse model. Collectively, RDC represents a novel virus-triggered targeted delivery platform that confers dual antiviral efficacy through extracellular virion neutralization and intracellular inhibition of viral replication. It has significant implications for reducing off-target toxicity and enhancing antiviral potency, and is furthermore readily adaptable to diverse viral pathogens and therapeutic payloads.
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MOLECULAR BIOLOGY REPORTS
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2026
·Vol. 53
·期 1
·1301
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IF 3.2
Zhang Chunmei,Wang Shuai,Zhang Xiaoyun,Liu Yan,Chen Yixiang
Background Acrylamide (ACR) is an important chemical raw material, and its toxic effects have been confirmed in vitro and in vivo. However, only a few studies have investigated ACR-induced liver injury. As a naturally occurring flavonoid widely distributed across the plant kingdom, rutin (Rut) possesses notable pharmacological properties. This study aimed to demonstrate its therapeutic potential in mitigating ACR-induced hepatic injury in rats. Accordingly, an intervention model was established to explore the mechanistic basis of the protective effects of Rut against ACR-induced liver injury. Methods The experimental design comprised five cohorts ( n = 10), consisting of 50 male Sprague–Dawley rats randomly assigned to each group: (1) Control (0.5% CMC-Na + ddH 2 O), (2) ACR (20 mg/kg/day via gavage), (3) Rut-L (100 mg/kg) + ACR, (4) Rut-M (200 mg/kg) + ACR, and (5) Rut-H (400 mg/kg) + ACR. Interventions lasted for 21 days. The body weights of the animals were monitored daily. The liver coefficient (liver weight/body weight) was calculated after euthanasia. Commercial assay kits were used to determine serum alanine aminotransferase (ALT) and aspartate aminotransferase (AST) activities and hepatic Superoxide Dismutase (SOD), Glutathione (GSH), and Malondialdehyde (MDA) levels. Histopathological changes were assessed using Hematoxylin and eosin and Masson staining. Tumor Necrosis Factor-α (TNF-α) and cleaved caspase-3 expression levels were analyzed using immunohistochemistry. Results Compared with the Control group, ACR exposure attenuated the rate of body weight accrual ( P < 0.05) and the liver-to-body weight ratio ( P < 0.05), elevated serum ALT (↑34.8%, P < 0.05) and AST (↑47.7%, P < 0.05), decreased hepatic SOD (↓48.9%, P < 0.05) and GSH (↓17.7%, P < 0.05), and increased MDA (↑38.8%, P < 0.05). High-dose Rut reversed these effects by increasing body weight gain ( P < 0.01), liver coefficient (↑29.4%, P < 0.05), SOD (↑32.1%, P < 0.05), and GSH (↑12.1%, P < 0.05), while reducing ALT (↓22.9%, P < 0.01), AST (↓16.8%, P < 0.01), and MDA (↓9.0%, P < 0.05) levels. Histopathological analysis demonstrated reduced hepatocyte necrosis and collagen deposition in the Rut-treated group. Immunohistochemistry revealed that ACR increased TNF-α (↑121.4%, P < 0.001) and cleaved caspase-3 (↑97.8%, P < 0.001) expression, which was suppressed by Rut (TNF-α: ↓48.2%, P < 0.01; cleaved caspase-3: ↓39.5%, P < 0.01). The effect sizes (Cohen’s d) ranged from 1.2 to 3.6, indicating robust effects. Conclusion Rut exhibits a marked protective effect against ACR-induced hepatic injury. Therefore, Rut may be considered a potential agent for preventing ACR-induced liver injury in rats.
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Neuroscience Bulletin
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2026
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IF 6.8
Feng Wei,Pang Lijuan,Liu Chun-Jie,He Jiuming,Wang Lisi,Xu Zhenyu,Zeng Yinglong,Yuan Zengqiang,Zhang Chao
The brain supports consciousness through regional heterogeneity. However, the spatial complexity of its metabolome under anesthesia remains unclear. In this study, we established a spatial metabolomic atlas of the mouse brain under wakefulness, inhalation anesthesia, and injectable anesthesia. In total, 727 metabolites were identified and spatially mapped across 11 representative brain regions. We found that anesthesia significantly altered the brain metabolic landscape in a spatially dependent manner, particularly affecting lipid metabolism, amino acid pathways, and neurotransmitter-related metabolites. Furthermore, we monitored the cortical microvascular blood flow and blood oxygen levels during anesthesia. We observed that different anesthesia modalities induced distinct changes in cortical arteriovenous microvascular hemodynamics, suggesting a potential association between metabolic alterations and cerebrovascular regulation. We developed an open-access online database, the mouse brain spatial metabolome atlas ( https://mbsma.liulab.cloud/#/dashboard ), to facilitate access to and analysis of the dataset. Our study reveals anesthesia-induced spatial metabolic reprogramming in the brain, providing insights into neural metabolism and cerebrovascular dynamics, with implications for perioperative brain protection and safer anesthesia strategies.
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BioNanoScience
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2026
·Vol. 16
·期 8
·518
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IF 4
Wu Hecan,He Xinglin,Zeng Zhaoyubo
A multifunctional cotton-based fabric was prepared by alginate-assisted in situ growth of zinc oxide (ZnO) nanoparticles on commercial cotton using a water-bath process (90 °C, 3 h). The ZnO/cotton composite fabric (ZNCF) showed increased surface hydrophobicity, with a water contact angle (WCA) of up to 117°, compared with rapid water absorption by untreated cotton. In a skin-contact heat-dissipation test, the surface temperature of the arm covered with ZNCF was 2.8 °C higher than that covered with conventional cotton, indicating improved heat transfer from skin to fabric. Under simulated sunlight, ZNCF reduced surface heating by 10.7 °C relative to conventional cotton. UV-vis spectra showed enhanced absorption in the 200–400 nm region, supporting UV-shielding behavior under the tested spectral condition. ZNCF also promoted methylene blue degradation under light irradiation and inhibited the growth of Escherichia coli and Staphylococcus aureus in OD-based and agar-plate antibacterial assays. Combustion-residue observation further showed a larger and denser residue for ZNCF than for untreated cotton. This study provides a simple alginate-assisted route for preparing protective and functional thermal-management cotton textiles.
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JOURNAL OF MATERIALS SCIENCE-MATERIALS IN MEDICINE
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2018
·Vol. 29
·期 9
·1-9
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IF 2.448
He Meng,Chen Xiaoyi,Cheng Kui,Dong Lingqing,Weng Wenjian,Wang Huiming
Surface nanotopography and bioactive ions have been considered to play critical roles on the interactions of biomaterials with cells. In this study, a TiO 2 nanorod film incorporated with Zn-containing bioactive glass (TiO 2 /Zn-BG) was prepared on tantalum substrate, trying to evaluate the synergistic effects of nanotopograpgy and bioactive ions to promote cellular osteogenic differentiation activity. The expression of osteogenic-related genes, ALP as well as the ECM mineralization on TiO 2 /Zn-BG film were significantly upregulated compared to that of the film without TiO 2 nanorod nanostructure (Zn-BG) or without Zn (TiO 2 /BG). Moreover, a much low Zn 2+ release level on TiO 2 /Zn-BG film was beneficial to promote the osteogenesis, which could be ascribed to that a semi-closed space established by TiO 2 nanorods with adhered cells provided an appropriate micro-environment that facilitated Zn 2+ adsorption.
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危险品化学品经营许可证（带存储）