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This study developed and validated a non-invasive multi-metabolite magnetic resonance spectroscopy framework for preoperative molecular subtyping of adult diffuse gliomas. Using a cross-center, cross-vendor cohort of 268 patients, 48 features derived from 18 metabolites were systematically evaluated to identify discriminative metabolic signatures for predicting IDH mutation and 1p/19q codeletion status. The integrated metabolic model showed robust intra-center and cross-center performance for IDH prediction, with AUCs of 0.906 and 0.857, respectively, and for 1p/19q prediction, with AUCs of 0.858 and 0.787, respectively. These results suggest that synergistic metabolic profiling support molecular assessment in patients who may not be suitable for invasive biopsy.
In the ongoing pursuit of energy-dense lithium-ion batteries (LIBs), Li-rich layered oxide (LLO) cathodes provide an attractive path forward with extraordinary capacity delivery and low raw material cost. However, the surface-originated degradations and local structure rearrangement incur severe capacity and voltage fading, which fundamentally impedes the practical deployment of LLOs. Here, we report a pre-constructed multifunctional carbon/fluorine-rich artificial cathode electrolyte interface (CEI) layer via a facile thermal treatment. This surface integrated layer, with high-voltage tolerance and amorphous features, is designed to mitigate surface-originated parasitic reactions and phase transformations induced by electrochemistry. Multiscale characterizations reveal that the artificial CEI layer exhibits excellent interfacial compatibility with both the LLO cathode and the electrolyte system, ensuring highly reversible anionic redox and low activation barrier for Li+ transport. Profiting from this architecture, remarkable cycling stability is achieved including 90.6% retention after 300 cycles in half cell, along with high energy efficiency and markedly alleviated voltage fading. More importantly, the artificial CEI layer demonstrates a distinct depolarization effect, which almost completely prevents the rise in charging voltage upon cycling. This work provides valuable insights into surficial/interfacial modulations and broadens research directions for designing high-voltage cathodes with more durable interphases for next-generation batteries.
Highly loaded magneto-dielectric composite systems are promising for achieving strong electromagnetic loss and structural design flexibility, yet their processability and geometric controllability remain extremely challenging. Herein, a rheologically engineered direct ink writing (DIW) 3D printing strategy is developed. Graphene (Gr) is introduced to reconstruct the particle-loading network, which synergistically improves the ink's yield behavior, shear-thinning property, structural recovery, and a magnetic-dielectric synergistic loss system is constructed with carbonyl iron powder (CIP). The critical CIP content (~ 84.06 wt%) is determined by the yield model, and a tunable Gr/CIP (GC) composite ink is obtained. The correlation among rheological response, geometric fidelity, and temporal stability is established, enabling high-fidelity 3D-printed gradient honeycomb structures. The rationally designed 3D-printed GC honeycomb (GCH) absorber achieves an effective absorption bandwidth of 18 GHz-4 THz, with an RLmin of - 84.30 dB at a thickness of 2.6 mm. When integrated into device-level terahertz reconfigurable intelligent surfaces (RIS), the GCH absorber contributes to a ~ 3.3 dBi main lobe gain enhancement, 1.9-3.3 dB sidelobe suppression, and a ~ 58% reduction in reflection beamwidth, showing excellent electromagnetic compatibility performance for communication, imaging, and radar. This work offers a practical strategy for the structural fabrication and device integration of high-load magneto-dielectric synergistic absorbers.
Noninvasive detection of ultra-weak biomagnetic signals is crucial for modern biosensing, but conventional magnetic sensors are fundamentally limited by intrinsic noise. Orthogonal fluxgates (OFGs) enable high signal-to-noise-ratio detection of weak magnetic fields, yet their performance is still constrained by intrinsic 1/f noise and Barkhausen-related magnetic fluctuations. This study reports a low-noise orthogonal fluxgate in which a newly designed magnetic core and circuit mitigate existing noise limitations. The CoP/Ag composite core, featuring an amorphous-nanocrystalline dual phase, is associated with reduced low-frequency magnetic loss and improved noise performance. When integrated with a closed-loop feedback, the sensor achieves a noise floor of 8 pT/√Hz at 1 Hz. The sensor enables reliable detection of ultralow-concentration magnetic-bead signals. Alpha-fetoprotein (AFP) was used as a model biomarker in an immunomagnetic bead assay, yielding a linear response from 50 fg mL-1 to 100 ng mL-1 and a detection limit of 50 fg mL-1, which compares favorably with representative reported AFP magnetic biosensors. OFGs demonstrate strong prospects in biosensing, geomagnetic measurements, and weak field detection.
Ionic skins (I-skins) integrated with high-performance electromagnetic interference (EMI) shielding, self-powering functionality, and sensitive pressure detection are critically needed for soft electronics, yet remains a considerable challenge. Herein, we report a facile diffusion-complexation strategy for fabricating self-oriented gradient MXene/polyelectrolyte hydrogels, which function effectively as self-powered I-skins with outstanding EMI shielding and pressure-sensing capabilities. A pivotal feature of our method is the concurrent coupling of two processes: osmotic pressure gradient- induced in-plane self-orientation of MXene nanosheets and diffusion-complexation reaction-induced spontaneous formation of a longitudinal charge gradient. This charge gradient endows the I-skins with a pressure-sensitive self-polarized potential, while the in-plane aligned MXene network imparts both exceptional EMI shielding performance and high-pressure sensitivity. Consequently, the resulting I-skins exhibit a high EMI shielding effectiveness of 48 dB, along with outstanding self-powered sensing capability that delivers a high sensitivity (3.067 mV kPa-1), a broad sensing range (0.05-80 kPa), a fast response time (120-130 ms), and a low detection limit for pressure (0.05 kPa). This work offers a new and scalable strategy for integrating high sensitivity, energy autonomy, and superior EMI shielding into advanced I-skins for broader applications.
Aqueous Zn-organic batteries are promising due to the sustainability and tunability of organic cathodes. However, the critical challenge in their practical application lies in dissolution, degradation, and sluggish kinetics, ultimately degrading the cycling stability and rate capability. Herein, we demonstrate a simple effective electrolyte engineering strategy by introducing potassium chloride (KCl) as a co-solute into the ZnCl2 electrolyte to achieve high-performance Zn batteries utilizing 3,4,9,10-perylenetetracarboxylic dianhydride (PTCDA) as the cathode. Experimental studies and molecular dynamics simulations reveal that KCl addition not only enhances electrolyte conductivity but also modulates Zn2+ solvation environment to form [Zn(H2O)2Cl4]2-, significantly improving ion diffusion kinetics. Consequently, the Zn//PTCDA in the ZnCl2-KCl electrolyte exhibits a remarkable capacity of 124.7 mAh g-1 with an average voltage of 0.65 V, exceptional rate performance (56% capacity retention at 30 A g-1), and prolonged cycling performance (90.9% retention after 10,000 cycles). Experimental and density functional theory mechanistic studies unveil a new reversible Zn2+/K+ co-storage mechanism in the PTCDA cathode, where K+ acts as a charge shield and structural pillar, synergistically decreasing the ion migration energy barrier, enhancing reaction kinetics, and stabilizing the cathode structure. This work elucidates dual-ion storage chemistry and highlights rational electrolyte design for durable, high-power metal-organic batteries.
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Transition metal dichalcogenides (TMDs) have garnered considerable attention as advanced electromagnetic wave absorption (EMA) materials due to their unique layered structures, tunable electronic properties, and intrinsic defect-induced polarization mechanisms. This comprehensive review systematically summarizes recent advances in TMDs-based absorbers, with particular focus on two fundamental development strategies. The first involves multiscale structural design of pure phase TMDs spanning from atomic to submillimeter dimensions, achieved through precise defect regulation, phase engineering, and sophisticated morphological manipulation to optimize electromagnetic parameters and attenuation capabilities. The second strategy focuses on constructing multicomponent composite systems, incorporating dielectric matrices, magnetic elements, and multicomponent hybrids to achieve synergistic enhancement through interfacial polarization, conductive loss, and magnetic dissipation mechanisms. The review critically analyzes pioneering research achievements across various subfields while identifying specific challenges and opportunities within each domain. Future perspectives highlight emerging frontiers including atomic level interface engineering, inverse design of multicomponent and multiscale architectures, sustainable large-scale synthesis techniques, and development of multifunctional smart-response systems. This work aims to establish fundamental principles and provide forward-looking guidance for designing next-generation high-performance TMDs-based EMA materials with tailored functionalities.
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With the development of next-generation energy storage systems focusing on green, safe, and sustainable devices, aqueous magnesium (Mg)-air batteries have emerged as promising candidates owing to the intrinsic merits of the Mg metal anode, including low cost, large volumetric capacity, a highly negative electrode potential, and excellent safety. However, the high self-discharge rate and formed discharge products substantially impair the practical discharge performance of Mg anodes with poor anode utilization efficiency and low cell voltage. While anode alloying and electrolyte additive strategies can help mitigate this issue, designing highly efficient electrolyte additives that are compatible with the established anode remains a challenge. This review summarizes recent progress toward understanding the role of electrolyte additives for aqueous Mg batteries, provides insights into the discharge mechanism of Mg-based anode materials in different types of additive-containing electrolytes, and offers strategies for designing high-efficiency mixtures of electrolyte additives. Moreover, a highly promising direction of AI-supported and robotic workflows for the future fast design of advanced electrolyte additives for aqueous Mg batteries is discussed.
Stimuli-responsive shape-changing hydrogels are the most competitive candidates for artificial muscles, electronic skins, and soft robotics. However, existing actuating hydrogels often suffer a trade-off between actuation performance and mechanical strength, which greatly limits their application prospects as actuators under external force loads. Here, we adopt a cascade polymerization strategy to successively introduce electrical sensing and mechanically enhanced polymer network phases into sponge-like PNIPAM hydrogels to achieve PNIPAM-based photothermal-responsive actuating hydrogels with fast response, high strength, and self-sensing performance. The as-prepared hydrogel actuator can execute rapid actuation missions even under external loading far exceeding its own mass and generate differentiated electrical sensing signals according to the magnitude of the external load. Based on the corresponding relationship between the mass of the load and the actuation behavior (such as "0/1" encoding), we develop a novel material-based binary information encoding system. Furthermore, by manufacturing logic gates to analyze differentiated feedback sensing signals and integrating them with Internet of Things technology, a closed-loop logic control system is established for remote logic-based interactive communication. This study fills the gap of traditional hydrogels in load-bearing actuation and complex interactive applications and opens up a new direction for the next generation of smart soft materials.
Early fire detection systems that are highly sensitive are essential for reducing the impact of fire disasters. However, their development still faces significant challenges due to the lack of capability for simultaneous monitoring of both temperature and gas. Herein, we propose a facile coaxial wet-spinning strategy to fabricate a dual-parameter fiber sensor capable of simultaneously detecting carbon monoxide (CO) and temperature for early combustion warning. The resulting core-sheath structured fiber consists of a CO sensing sheath made of SnO2/In2O3 heterojunction/aramid nanofiber (ANF)/silver nanowire composite with biomimetic gradient pores, an ANF isolation layer, and a temperature sensing core composed of MXene. The gradient porous sheath constructed by gradient-induced phase separation technology exhibits gradually decreasing pore sizes from outer (> 10 μm) to inner (< 3 μm) regions. This structure demonstrates a significant enhancement in the fiber sensor's sensitivity to CO, achieving a 15% higher response compared to non-gradient porous structures (ΔR/R0 = 0.95%/ppm; detection limit of 10 ppm), with the response time reduced to 19.28 s, surpassing the response speed of most fire-warning fibers. Additionally, this fiber sensor can rapidly monitor abnormal temperature increases, enabling flame alarm functionality within 3 s. It also achieves precise real-time temperature detection within the range of 50-300 °C, exhibiting high sensitivity (20.6 μV K-1) and a strong linear correlation (R2 = 0.99). This work highlights the significant potential of gradient pore in enhancing CO sensing and offers a novel perspective for the design of ultrafast early fire-warning fiber sensors. A biomimetic gradient porous core–shell fiber with enhanced gas-sensing capabilities for CO-temperature early fire warning is fabricated via a coaxial wet-spinning technology. The gradient porous sheath with SnO2/In2O3 heterojunction endows enhanced CO gas-sensing performance with high sensitivity, low detection limit and improves the CO respond of by 15%. The CO-temperature dual-mode sensing fiber integrated with a wireless early fire-warning system achieves a rapid respond to fire in ~3 s and detects 10 ppm CO gas within 19 s.
Developing radiosensitizing agents to amplify tumor-eradicating effects on primary, regional recurrence, and distant metastases plays a transformative role in modern cancer care. Here, we report the de novo design of biocatalytic artificial metalloenzymes with an IrMn-cluster-based redox center (IMM) to achieve radiosensitized systemic antitumor responses for preventing malignant tumor metastasis and recurrence. Notably, our findings indicate that Mn-organic ligands substantially enrich the electron density of Ir clusters, thereby optimizing their interaction with oxygen species and markedly enhancing the production of both reactive oxygen species and molecular oxygen. When combined with radiotherapy, the IMM effectively amplifies DNA damage and induces pronounced apoptosis by alleviating intratumoral hypoxia. This shift reprograms the tumor microenvironment, enhancing radiosensitivity and facilitating the infiltration and activation of intratumoral CD8⁺ T cells and dendritic cells. Moreover, when integrated with anti-PD-1 therapy, this coordinated therapeutic regimen elicits potent systemic immune responses and durable antitumor memory, effectively suppressing tumor recurrence and metastasis while markedly improving therapeutic efficacy and long-term survival. We anticipate that this conceptual design could offer a promising and translationally relevant nanomedicine platform for radiotherapies.
Lithium-ion batteries (LIBs) have emerged as the key devices for energy storage, powering a global shift toward electrification in transportation and portable electronics. However, the relentless pursuit of higher energy densities for LIBs is fundamentally challenged by chemo-mechanical degradation, a process during which electrodes undergo volume changes during cycling, which in turn precipitates internal stress and limits battery life span. While the importance of these chemo-mechanical phenomena is widely recognized, a comprehensive review that systematically categorizes the diverse landscape of in situ detection techniques for stress and strain detection has been conspicuously absent. Herein, we address this gap by introducing a framework that organizes these techniques based on their physical modality: optical, acoustic, and electrical. Within this framework, we critically evaluate key methods, including optical laser beam position detection and multi-beam optical stress sensor, acoustic ultrasonic wave and acoustic emission, and electrical resistance strain gauge and in situ expansion meter. For each method, we detail its working principle, compare its advantages, and showcase key research applications that provide insight into improving battery performance. Finally, we outline the main challenges and future directions for in situ stress and strain detection in lithium-ion batteries.
Herein, a flexible dual-modal sensing transistor (FDST) is reported, based on zinc oxide nanofibers (ZnO NFs) integrated onto an indium-gallium-zinc-oxide thin-film transistor, and combined with a deep learning-based signal decoupling strategy. Defect-mediated subgap excitation and thermally activated interfacial potential modulation enable high sensitivity dual-modal responses, delivering a broadband photoresponsivity ( R ) up to 2.69 A W-1 and a temperature coefficient ( TC ) of 0.071 °C-1. To enable reliable discrimination and simultaneous reconstruction of light and temperature, a multibias readout physically encodes the coupled stimuli into a high-dimensional current fingerprint, which is decoded by a lightweight multilayer perceptron. This synergistic approach enables accurate and independent reconstruction of light intensity and temperature, achieving coefficients of determination (R2) around 0.99. The FDST exhibits exceptional mechanical robustness under 10,000 bending cycles and severe bending (2 mm radius). Furthermore, a wearable system based on a low-power microcontroller demonstrates real-time monitoring with negligible cross-interference between optical and thermal modalities under uncontrolled outdoor conditions. This work establishes a general strategy for resolving cross-sensitivity, paving the way for robust and intelligent artificial perception systems.
Electrochemical reduction of carbon dioxide (CO2RR) offers a route for sustainable chemical production using water as a clean proton source. However, water also promotes the competing hydrogen evolution reaction, limiting CO2RR performance. Here we establish interfacial water as a decisive but overlooked design parameter for selective CO2-to-ethanol electrolysis. A hetero-solvent microenvironment confining diglyme (DiG) near the Cu catalyst substantially suppresses HER under both neutral and alkaline conditions, where protons are supplied via water dissociation. In situ infrared absorption spectroscopy and theoretical calculation results reveal that DiG strengthens the hydrogen-bonding network of interfacial water, reducing free-water population prone to dissociation. Concurrently, the modulated water network effectively hinders solvent-mediated hydrogenation that favors ethylene formation, thereby promoting ethanol formation. Because this strategy modulates the microenvironment rather than the catalyst, it readily extends to Cu-Ag bimetallic catalyst. Moreover, confining hetero-solvent within microenvironment rather than in the bulk electrolyte enables high-current operation at low cell voltages, achieving an ethanol partial current density of 184.2 mA cm-2 at 3.6 V under neutral condition.
Artificial solid electrolyte interphase offers a promising route to improve the lifespan and safety of quasi-solid-state sodium-metal batteries (QSMBs), yet its limited ion conductivity and the low liquidity of the polymer electrolyte often result in unstable Na plating/stripping kinetics and poor interfacial durability. Herein, we propose a surface-induced "top" Na deposition mechanism facilitated by an ultra-sodiophilic ionic/electronic mixed conductor interphase exhibiting strong Na+ adsorption affinity, which ensures fast and dendrite-free Na anode operation. The embedded Na3Sb alloy phase, featuring high electronic conductivity and strong Na+ adsorption energy, significantly accelerates interfacial ion diffusion and nucleation kinetics, forming a smooth and compact Na deposition layer that facilitates stable solid electrolyte interphase formation and preserves interfacial integrity. Consequently, Na||Na symmetric cells employing a 1, 3-dioxolane-based gel polymer electrolyte deliver an ultra-long-cycling lifespan of 1000 h at 0.5 mA cm-2 with a low overpotential of 40 mV. Moreover, QSMBs incorporating the modified Na anode and Na3V2(PO4)3 cathode demonstrate outstanding cycling stability (74.1% capacity retention after 9000 cycles at 2C) and superior rate capability (91.7 mAh g-1 at 5C). The work provides mechanistic insights and practical strategies for regulating Na deposition, paving the way toward high-performance QSMBs.
Practical deployment of perovskite solar cells is hindered by fragile interfaces that accelerate degradation under moisture, heat, ion migration, and mechanical stress, particularly during ambient processing. Here, we introduce a fishing-net-inspired interfacial molecular network that imparts intrinsic durability through coordination chemistry and interfacial dipole engineering. The metal-anchored hierarchical network integrates transition metal nodes, rigid small-molecule frameworks, and dense amine-functionalized polymer sub-networks into a netlike architecture that enhances charge extraction while suppressing bidirectional ion migration. Devices incorporating this interlayer achieve power conversion efficiencies of 26.19% (1.53 eV), 24.11% (1.61 eV), and 20.00% (1.77 eV), with open-circuit voltages and fill factors all exceeding 90% of the Shockley-Queisser radiative limit. Notably, this performance is maintained even in wide-bandgap flexible devices. Flexible perovskite solar cells fabricated entirely under ambient air achieve 23.03% efficiency and retain 95% of their initial performance after 10,000 bending cycles. Moreover, the devices exhibit suppressed degradation during direct water immersion and reach a T95 exceeding 2000 h under ambient conditions without encapsulation, establishing a broadly applicable interfacial design strategy for durable optoelectronics.
Ovonic threshold switching selectors are indispensable for suppressing sneak currents in dense cross-point memories, but most established selector materials still rely on multicomponent chalcogenides with persistent trade-offs in leakage current, reliability, and compositional stability. Recent progress in elemental switching materials is beginning to change this picture. A new study identifies amorphous selenium as a highly effective selector, combining an ultralow leakage current of 4 × 10-12 A, an on/off ratio above 108, a drive current density of 21.2 MA cm-2, nanosecond-scale switching, and endurance up to 2 × 109 cycles. More importantly, spectroscopy and theory connect these metrics to a charge-triggered mechanism rooted in dense trap pairs in the amorphous network. These states strongly pin the Fermi level in the off-state, while field-induced carrier release near threshold drives abrupt conduction. Beyond introducing a new selector material, this work suggests that monatomic chalcogens may provide a cleaner platform for understanding and engineering threshold switching, with fewer complications from phase segregation, cation migration, and chemical overdesign.
Eco-nanozymology, as an emerging interdisciplinary field, integrates nanotechnology with principles of enzymology to offer innovative strategies for energy conversion and environmental remediation. In contrast with conventional enzymology, eco-nanozymology enhances catalytic efficiency through the precise regulation of interfacial microstructures, electronic distributions, active site configurations, multienzyme cascade catalysis, and functionalized carrier engineering. By harnessing and amplifying natural ecological processes, eco-nanozymology enables effective modulation of energy flow and material cycling within ecosystems. This review focuses on recent advances in the application of eco-nanozymology across energy-related domains, including nitrogen fixation, carbon fixation, methane oxidation, hydrogen production, and energy conversion devices. It further provides an in-depth analysis of the recent progress in the efficient degradation of environmental pollutants and resource-oriented valorization of low-value biomass, such as lignin, agricultural residues, livestock manure, and microplastics. These studies highlight the pivotal role of eco-nanozymology in enhancing the efficiency of environmental management, accelerating the development of green energy technologies, and advancing carbon neutrality goals. The continued development of eco-nanozymology is expected to open new horizons for the deepening and expansion of nanozyme applications, offering green, environmentally friendly, and sustainable technological pathways to address global energy and environmental challenges.