SCIENCE CHINA Materials•2026•DOI: 10.1007/s40843-026-4467-x
Conventional eye-movement interaction systems depend on video capture, infrared tracking, and image recognition, which impose inherent constraints on accuracy, response latency, and stability. This study introduces an eyelash-guided signal interaction system based on a triboelectric nanogenerator (PF-TENG) using PDMS-FDTS thin films. The system employs eyelash movements as interactive inputs, eliminating the need for complex optical acquisition devices. A CNN-LSTM hybrid neural network classifies distinct eyelash movement patterns with a classification accuracy exceeding 98.5%. The PF-TENG device exhibits ultra-flexibility and transparency, enabling seamless integration onto eyeglasses without obstructing the user's field of view. Experimental validation demonstrates real-time monitoring of ocular states for driving fatigue detection, accurately identifying fatigue signs and enhancing application potential in intelligent driving. The system offers a natural, comfortable input modality and significant advantages for human-machine interaction, with broad prospects in eye-movement control and intelligent transportation.
SCIENCE CHINA Materials•2026•DOI: 10.1007/s40843-026-4477-7
The rapid demand for high-energy-density lithium batteries necessitates advanced solid-state electrolytes (SSEs) to overcome the safety and performance limitations of conventional liquid counterparts. Macrocyclic compounds, with their well-defined cavities, programmable binding sites, and tunable self-assembly, have emerged as powerful molecular regulators for designing next-generation SSEs. This review examines recent advancements in macrocyclic compound-based SSEs by categorizing their functions into four fundamental supramolecular regulation paradigms: cation-centered regulation (e.g., crown ethers), anion-centered regulation (e.g., calixarenes and calixpyrroles), channel-dominated transport (e.g., cyclodextrins), and hybrid regulation (e.g., cucurbiturils). We elucidate how these macrocycles precisely control ion coordination, modulate migration dynamics, and reshape interfacial chemistry, leading to enhanced ionic conductivity, improved Li+ transference numbers, suppressed lithium dendrite growth, and superior interfacial stability. While each paradigm offers distinct advantages, the most promising SSEs often leverage synergistic combinations of these strategies. Finally, we highlight the remaining challenges, including synthetic complexity and multi-objective performance trade-offs, and propose future research directions for developing highly efficient and durable macrocycle-based solid-state lithium batteries.
SCIENCE CHINA Materials•2026•DOI: 10.1007/s40843-026-4288-1
The high-temperature oxidation resistance of Cr2AlC MAX phase ceramics is severely compromised by rapid Al depletion and the formation of a brittle sub-surface Cr7C3 layer. This study elucidates how trace Y2O3 doping (0.25 and 0.5 wt.%) modulates the oxidation behavior of Cr2AlC at 1100 °C. The incorporation of 0.5 wt.% Y2O3 significantly suppresses the parabolic rate constant compared to undoped counterparts. This kinetic suppression is attributed to the Reactive Element Effect (REE), where Y3+ segregation at α-Al2O3 grain boundaries inhibits outward Al3+ diffusion, shifting the scale growth mechanism to inward oxygen diffusion control. Consequently, this retarded Al consumption prevents the decomposition of the Cr2AlC substrate into Cr7C3. While undoped specimens fail due to volume contraction and Kirkendall voiding associated with the Cr7C3 interlayer, specimens with the most effective doping content within the investigated range maintain a stable, atomically sharp α-Al2O3/Cr2AlC interface devoid of voids and decomposition products. The superior adhesion of this interface is attributed to three synergistic factors: the elimination of volumetric mismatch induced by phase transformation, the mechanical interlocking provided by Y-rich oxide pegs, and the intrinsically higher interfacial bonding strength of the α-Al2O3/Cr2AlC system as confirmed by DFT calculations. These findings provide a mechanistic framework for designing oxidation-resistant MAX phase ceramics via reactive element doping.
SCIENCE CHINA Materials•2026•DOI: 10.1007/s40843-026-4349-9
Sodium metal batteries are promising for large-scale energy storage due to sodium's abundance and low cost, but their commercialization is hindered by dendrite growth and low utilization of sodium metal anodes. Here, we report a yolk-shell structure with gold nanoparticles (Au NPs) confined in hollow carbon nanospheres (Au@HCN) as a robust seeding/hosting interphase. The encapsulation isolates Au NPs from direct electrolyte contact, mitigating parasitic reactions, while the void space accommodates volume changes during alloying. Notably, electrochemical testing reveals that Au NPs undergo alloying-induced amorphization upon sodiation, forming a Na-Au amorphous alloy that enhances sodiophilicity and ensures uniform Na nucleation. This amorphous phase, confirmed by ex situ X-ray absorption spectroscopy and transmission electron microscopy, reduces nucleation overpotential and promotes dendrite-free deposition. The Au@HCN electrode achieves a high Coulombic efficiency of 99.8% over 500 cycles at 1 mA cm−2 and a long cycle life of over 2000 hours at 0.5 mA cm−2 in symmetric cells. Full cells paired with Na3V2(PO4)3 cathodes deliver a specific capacity of 105 mAh g−1 with 92% retention after 500 cycles. This work provides a rational design for stable sodium metal anodes through encapsulation and alloying-induced amorphization, offering a pathway for practical sodium metal batteries.
SCIENCE CHINA Materials•2026•DOI: 10.1007/s40843-026-4262-7
The escalating demands of artificial intelligence, machine learning, and neural computing necessitate multifunctional optoelectronic devices capable of integrating sensing, memory, and processing. Two-dimensional van der Waals heterostructures (vdWHs) offer unique advantages, yet their practical deployment is hindered by complex architectures and inefficient mode-switching. Here, we demonstrate a MoTe2/SnS2 anti-ambipolar heterojunction device enabling single-gate reconfiguration among frequency doubling, broadband photodetection, and neuromorphic computing. The device exhibits a peak-to-valley ratio (PVR) of 465, ensuring efficient frequency doubling. As a photodetector, it operates across an exceptionally broad spectral range of 520–2200 nm, with outstanding responsivity and detectivity. Furthermore, the device emulates complete synaptic behaviors, including short-term plasticity (STP), long-term plasticity (LTP), and paired-pulse facilitation (PPF). Integrated into a reservoir computing (RC) system trained on a vehicle motion dataset, it achieves a directional recognition accuracy of 98.7%. This work establishes a paradigm for multifunctional integration and low-power neuromorphic computing, advancing next-generation intelligent optoelectronic systems.
SCIENCE CHINA Materials•2026•DOI: 10.1007/s40843-026-4257-y
Hafnia-based ferroelectrics exhibit a distinctive reverse size effect and exceptional scalability, positioning them as critical candidates for CMOS-compatible non-volatile memory and ferroelectric transistors, with substantial promise for advancing hardware acceleration in artificial intelligence and large-data storage technologies. However, their practical deployment is constrained by a longstanding dilemma: the difficulty in simultaneously stabilizing metastable polar phases and ensuring long-term reliability under the high electric fields required for polarization switching. This review reinterprets this challenge through the lens of defect physics and advocates a paradigm shift from stochastic, disorder-mediated defect incorporation toward ordered, multiscale defect engineering. We systematically discuss the collective influence of point defects, line defects, planar defects, and defect-coupled structures on the phase stability, switching kinetics, and failure mechanisms in hafnia-based ferroelectrics. Controlling oxygen-vacancy states, engineering dopants via Fermi-level and chemical pressure, deploying periodic dislocation arrays, designing topological domain walls, functionalizing interfaces, and leveraging flexoelectric strain gradients constitute the core strategic toolkit. Through such ordered defect architectures, scalable performance metrics, including high remanent polarization, low coercive field, fast switching speed, and endurance exceeding 10^12 cycles, become attainable. These approaches establish a set of design principles for next-generation low-power, high-reliability ferroelectric electronics.
SCIENCE CHINA Materials•2026•DOI: 10.1007/s40843-025-3538-6
The understanding of anion transporting behaviors under sub-nanoconfined regimes can guide the design of high-performance anion selective membranes (ASMs), yet it is little known. Here, we build membrane channels that combine physical rigidity with chemical affinity to anions simply through bridging graphene oxide nanosheets with charged linkers. We observe that the rigidly confined interaction imposed by channels to anions can reconfigure hydration shells in varying degrees for different anions via compensating for hydration-induced energy barriers and differentiating their rearrangement behaviors. During the configuration evolution, water molecules within hydration shells would rotate and simultaneously change their distance from the ion center. Based on the big discrepancy in configuration evolution, these membranes can realize ultrahigh selectivity of, for example, 125 for Cl−/SO4^2− and surpass the performance upper bound concerning Cl−/SO4^2− separation by other membranes. The knowledge of the configuration change of hydration shells during the dehydration process will be key to designing next-generation ASMs.
SCIENCE CHINA Materials•2026•DOI: 10.1007/s40843-025-3860-0
Drug detection is critical for public health and security, yet reversible and highly sensitive sensing materials remain scarce. This study presents a novel ionogel sensor material, poly(ethylene glycol) diacrylate (PEGDA)/1-butyl-3-methylimidazole tetrafluoroborate, for reproducible detection of N-methylphenylethylamine (MPEA), a structural analogue of methamphetamine. The ionogel is fabricated by immobilizing a flowable ionic liquid within a PEGDA network via UV curing, preserving ionic mobility for efficient conduction. Integrated on a flexible poly(ethylene naphthalate) substrate, the sensor exhibits over 72.6% transmittance in the visible spectrum, enabling concealed attachment. Utilizing non-covalent interactions, the sensor achieves reproducible MPEA detection at sub-ppb levels at room temperature, with a theoretical detection limit of 317 ppt. It demonstrates high selectivity and consistency. Ionic conductivity was confirmed via current-voltage tests and impedance spectroscopy, and the sensing mechanism was clarified. The device maintains reliable performance under bending, indicating suitability for dynamic environments. With Bluetooth integration for wireless data transmission, the sensor shows strong potential for practical, discreet drug monitoring in real-world applications.
SCIENCE CHINA Materials•2026•DOI: 10.1007/s40843-025-3689-9
Converting body heat into electricity presents an appealing route for sustainably powering wearable electronics; however, conventional thermoelectric materials face significant drawbacks, including high ionic concentrations, toxicity, and limited thermoelectric efficiency. Here, we report an ionic thermoelectric hydrogel designed through precise supramolecular chemistry, utilizing dual molecular interactions: host-guest complexation of α-cyclodextrin (α-CD) with I3− ions and hydrogen bonding between polyvinyl alcohol (PVA) polymer chains and I3−. This molecularly tailored approach markedly amplifies thermoelectric performance, achieving a high thermopower of 2.21 mV/K and a tenfold enhancement in peak power output at an exceptionally low iodine concentration (10 mmol/L I− + 2.5 mmol/L I3−). The hydrogel maintains excellent biocompatibility and mechanical robustness, suitable for direct skin contact. Demonstrated applications include flexible thermoelectric devices generating nearly 100 mV from body heat and sensor arrays capable of motion and spatial temperature sensing. These results underscore the substantial potential of supramolecularly designed ionic thermoelectric hydrogels for wearable energy harvesting, personalized healthcare monitoring, and advanced human-computer interfaces.
Chinese Journal of Environmental Engineering•2026•DOI: 10.12030/j.cjee.202507110
Algal-derived taste and odor compounds (2-methylisoborneol, 2-MIB, and geosmin, GSM) in drinking water sources are poorly removed by conventional treatment. This study systematically evaluated the standalone and combined performance of ozone micro-nano bubbles (O3-MNBs) oxidation and powdered activated carbon (PAC) adsorption for removing 2-MIB, GSM, and algal cells from source water. Results showed that O3-MNBs pre-oxidation achieved >97.5% removal of odorants at 400 ng·L−1 and 67.2% algal cell removal within 30 min. When applied as a deep treatment stage, the degradation rate constant (k) was 10.1%–25.6% higher than in pre-oxidation due to lower background matrix interference. Both pre-oxidation and deep treatment reduced effluent concentrations of 2-MIB and GSM to below 10 ng·L−1, with oxidation kinetics fitting pseudo-first-order models (R²>0.95). PAC adsorption of both compounds followed pseudo-second-order kinetics (R²>0.99), with GSM equilibrium adsorption capacity approximately 20.0% higher than that of 2-MIB. In pure water, adsorption capacity increased by >10.0% compared to raw water. Based on kinetic models, a quantitative prediction method was established for O3-MNBs oxidation and PAC adsorption processes, aiming to achieve efficient odorant removal and cost optimization, providing theoretical support for advanced drinking water purification and smart water plant construction.
Journal of Fuel Chemistry and Technology•2026•DOI: 10.1016/S1872-5813(25)60607-4
The methanation of biomass gasification syngas (H2/CO = 3:1) was investigated over Ni/Al2O3 monolithic catalysts supported on cordierite, with a nominal Ni loading of 15 wt%. Catalysts were modified by treatment with 10% NaOH solution for 1 h and 2 h. Physicochemical properties were characterized by BET, TEM, H2-TPR, XRD, CO2-TPD, and TG. Results showed that the 2 h modification (15%Ni/Al2O3-2h) increased specific surface area, enhanced catalytic activity, and increased alkaline site density compared to the unmodified catalyst. Under optimized conditions (H2/CO volume ratio 3:1, space velocity 10000 mL/(g·h), temperature 400 °C), the 15%Ni/Al2O3-2h catalyst achieved a CO conversion of 97% and CH4 selectivity of 100%. Stability tests over 2 h showed that the CO conversion remained stable at approximately 98%, indicating excellent catalytic stability. The study demonstrates that alkali modification with 10% NaOH for 2 h significantly improves both the methanation performance and stability of Ni/Al2O3 monolithic catalysts, offering a promising route for synthetic natural gas production from biomass.
Chinese Journal of Environmental Engineering•2026•DOI: 10.12030/j.cjee.202507057
This study presents a novel electrochemical sensor for the rapid detection of trace lead ions (Pb(II)) in water, utilizing a rod-shaped bismuth-based electrode. The electrode was fabricated by modifying a glassy carbon electrode (GCE) with basic bismuth nitrate [Bi6O5(OH)3](NO3)5·3H2O, synthesized via a chemical precipitation method. The sensor was characterized by X-ray diffraction (XRD), Fourier-transform infrared spectroscopy (FTIR), electron probe microanalysis (EPMA), and energy-dispersive X-ray spectroscopy (EDS), confirming the rod-like morphology and composition. Electrochemical detection was performed using differential pulse voltammetry (DPV) in a 0.1 mol·L−1 NaAc-HAc buffer (pH 4.3). The sensor exhibited a linear detection range for Pb(II) from 1 to 90 μg·L−1, with a detection limit of 0.34 μg·L−1 and a sensitivity of 106 μA·(μmol·L−1)−1. The electrode demonstrated excellent anti-interference capability and reproducibility. Recovery tests in real water samples (tap water and campus lake water) yielded high recovery rates, indicating practical applicability. This work provides a simple, cost-effective, and reliable method for monitoring trace Pb(II) in environmental water, particularly relevant for public swimming pools and similar aquatic facilities.
Journal of Environmental Engineering Technology•2026•DOI: 10.13205/j.hjgc.202604001
This study systematically investigated the occurrence, spatial distribution, sources, and ecological risks of 160 pesticides in Dianchi Lake, a typical plateau lake impacted by agricultural activities. A total of 37 pesticides were detected in the water, with total concentrations ranging from 64.2 to 1132.8 ng/L (average 610.0 ng/L). Fungicides, including boscalid (BOS), fluopicolide (FPC), and dimethomorph (DMM), were dominant, contributing up to 65.0% of the total concentration. Spatially, the southern lake region exhibited significantly higher concentrations (672.5 ng/L) than the north, attributed to intensive facility agriculture. Highly hydrophobic pesticides, such as penconazole (PEN), showed a tendency to enrich in bottom layers. Source apportionment identified inflowing rivers and wastewater treatment plant effluents as primary input sources, with average concentrations 7 and 9 times higher than lake water, respectively. Ecological risk assessment revealed that pesticides posed the highest risk to algae, followed by daphnia and fish. Prometryn (PMT) was identified as a high-risk factor for algae, while profenofos (PFF) and carbendazim (CBD) posed potential threats to higher trophic levels. These findings provide fundamental data and technical support for understanding pesticide pollution in plateau lake ecosystems.
Journal of Environmental Engineering Technology•2026•DOI: 10.13205/j.hjgc.202604011
Reverse osmosis (RO) membrane fouling remains a critical bottleneck in reclaimed water production, yet its spatial heterogeneity over extended operation is poorly understood. This study investigated fouling characteristics and microbial community dynamics on RO membranes after 3.5 years of operation in a full-scale microfiltration-reverse osmosis (MF-RO) system treating reclaimed water. Long-term monitoring showed stable effluent quality (turbidity <0.1 NTU, conductivity <400 μS/cm), but RO inlet pressure exhibited seasonal fluctuations of 15%–22% between summer and winter, attributed to water viscosity changes. Membrane autopsies revealed distinct fouling layers at the inlet (RO1) and outlet (RO2) ends. RO1 featured a dense bio-inorganic composite fouling layer with CaSO4 crystals and rod-shaped microbial aggregates (5–10 μm), dominated by Proteobacteria (77.11%), particularly Alphaproteobacteria (71.49%) and Xanthobacteraceae (35.29%), which secreted extracellular polymeric substances (EPS) to form biofilms. In contrast, RO2, exposed to higher salinity, showed reduced microbial abundance (Proteobacteria decreased to 64.79%) and a shift toward halotolerant taxa, including Microbacteriaceae (23.73%) and Actinobacteriota (24.76%), with EPS secretion increased by 42%. Alphaproteobacteria relative abundance dropped by 19.3%, while Gammaproteobacteria rose to 12.54%. These findings elucidate salinity-driven microbial succession and spatial heterogeneity of fouling, providing a basis for targeted antifouling strategies and 'zonal-graded' cleaning protocols in reclaimed water plants.
Journal of Environmental Engineering Technology•2026•DOI: 10.13205/j.hjgc.202604017
The Shule River Basin, a typical arid inland river basin, faces critical water scarcity that threatens ecological security and sustainable development. This study integrated the FLUS and InVEST models to simulate water yield in 2030 and 2050 under three climate scenarios (SSP119, SSP245, SSP585). Geographic detectors quantified the driving mechanisms of natural and human factors. Results showed: (1) Desert dominates land use (78.6% in 2020). Under SSP119, desert area decreases by 0.69% by 2050, while under SSP585 it expands by 5.7%, with grassland loss of 23.0%, indicating severe ecological degradation. (2) Water yield exhibits a south-high, north-low spatial pattern, with high values in glacier-covered and high-altitude areas. SSP119 yields the most significant increase (147.6×10^8 t by 2050), whereas SSP585 shows minimal increase (43.9×10^8 t) due to extreme climate. (3) Precipitation and DEM are core driving factors; the interaction between land use type and precipitation has the strongest influence, implying that artificial land use changes can significantly regulate water yield. This multi-scenario framework provides decision support for water resource management and ecological governance in arid inland river basins.
SCIENCE CHINA Materials•2026•DOI: 10.1007/s40843-025-3927-9
The mechanical properties of as-cast TiAl alloys are severely limited by their coarse as-cast microstructure. This study proposes a low-temperature pre-deformation heat treatment to refine the microstructure of an as-cast Ti-47Al-2Nb-2Cr alloy. The process involves pre-deformation below the eutectoid temperature followed by heat treatment in the α+γ phase field, yielding two distinct microstructures: duplex (DP) and nearly lamellar (NL). The average lamellar colony size was reduced to 5.3% and 20% of the as-cast size for DP and NL structures, respectively. Microstructural evolution analysis reveals that the decomposition of coarse lamellar colonies and the formation of fine grains are governed by γ recrystallization, γ→α phase transformation, and α recrystallization. Remnant colonies after deformation are completely eliminated by subsequent heat treatment, enhancing microstructural homogeneity and mechanical properties. The DP alloy exhibits an ultimate tensile strength (UTS) of 537 MPa and an elongation (EI) of 6.8% at 800°C, representing increases of 44.7% and 518.2% over the as-cast alloy, respectively. Analysis of crack propagation and deformation mechanisms indicates that grain refinement and lamellar structure refinement contribute to improved deformation ability. This work provides a viable pathway for optimizing as-cast TiAl alloys for high-temperature applications.
Chinese Journal of Environmental Engineering•2026•DOI: 10.12030/j.cjee.202507058
With the rapid development of China's lithium-ion power battery industry, the recycling of large-scale retired batteries has become a critical link for the sustainable development of the new energy vehicle industry. The recovery of cathode materials from spent lithium iron phosphate (LiFePO4) batteries is a current research hotspot, significant for resource recycling and environmental protection. This study systematically reviews recent progress in recycling technologies for spent LiFePO4 cathode materials, mainly including direct regeneration, pyrometallurgy, and hydrometallurgy. It focuses on analyzing the current research status of key steps in hydrometallurgy, such as leaching of valuable elements, deep removal of impurities, and product regeneration, and compares the advantages and limitations of various methods. Addressing core issues in current recovery processes, such as insufficient high-value utilization of iron and phosphorus resources and difficulty in deep impurity removal, this study proposes corresponding solutions and technical prospects, aiming to provide theoretical reference and engineering guidance for efficient, clean, and high-value recycling of spent LiFePO4 batteries.
Environmental Chemistry•2026•DOI: 10.7524/j.issn.0254-6108.2025091801
Conventional wastewater treatment technologies face persistent challenges including incomplete removal of emerging contaminants, secondary pollution, and low energy efficiency. Micro-nano robots (MNRs), leveraging their self-propulsion, precise navigation, and high specific surface area, offer a transformative approach for targeted pollutant sequestration and degradation. This review systematically examines the operational mechanisms and propulsion strategies of MNRs in wastewater remediation. Through a data-driven bibliometric analysis, we identify chemical propulsion and photocatalytic degradation as the predominant research foci. We critically evaluate the performance of various MNR designs—including chemically driven, magnetically driven, and light-driven systems—for the removal of organic pollutants, heavy metals, microplastics, radioactive nuclides, and pathogenic microorganisms. Representative studies demonstrate removal efficiencies exceeding 90% for specific contaminants, such as uranium preconcentration via metal-organic framework-based microrobots and microplastic removal using self-driven magnetorobots. Despite these advances, MNRs face intrinsic trade-offs between propulsion efficiency and environmental compatibility, as well as challenges in coordinating actuation and control in complex aqueous matrices. We propose future directions emphasizing sustainable energy-harvesting systems and intelligent, reconfigurable multifunctional designs. This review provides a systematic framework and forward-looking perspective to accelerate the translation of MNR technology from laboratory innovation to practical wastewater treatment applications.
Environmental Chemistry•2026•DOI: 10.7524/j.issn.0254-6108.2025030305
The rapid expansion of livestock and poultry farming has intensified the challenge of managing sludge, which contains heavy metals (primarily Cu and Zn), antibiotics, and pathogens. Calcium carbide slag (CCS), an alkaline industrial waste rich in Ca(OH)2, CaCO3, and other minerals, poses environmental risks due to its high alkalinity. This study investigates the speciation transformation of heavy metals in biochar derived from co-pyrolysis of livestock sludge and CCS under varying temperatures (400–700 °C) and mixing ratios (sludge:CCS = 1:1, 2:1, 3:1, 4:1). The results demonstrate that at 600 °C and a 2:1 mixing ratio, calcium-based compounds and SiO2 in CCS effectively immobilize heavy metals through crystal solid solution and complexation, reducing their ecological risk. Sequential extraction indicated a shift from exchangeable and reducible fractions to residual fractions, with the residual fraction of Cu and Zn increasing by up to 45% and 38%, respectively, compared to sludge-only pyrolysis. The formation of apatite phosphorus (Ca5(PO4)3OH and Ca3(PO4)2) enhances the bioavailability of phosphorus in the biochar, making it a potential slow-release fertilizer. The study provides a novel strategy for the synergistic treatment of livestock sludge and CCS, offering environmental and economic benefits by producing stable, nutrient-rich biochar while mitigating heavy metal toxicity.
Environmental Chemistry•2026•DOI: 10.7524/j.issn.0254-6108.2025120801
The interaction between microplastic-derived dissolved organic matter (PSDOM) and iron oxides in soil environments can modulate its photosensitization effects, yet the underlying mechanisms remain elusive. This study investigated the influence of hematite with distinct morphologies—flake-shaped (HNPs) and cubic (HNCs)—on the photosensitization of polystyrene-derived dissolved organic matter (PSDOM). Under 500 W mercury lamp irradiation, both hematite morphologies promoted PSDOM degradation, with HNCs exhibiting superior performance: total organic carbon (TOC) decreased from 18.4 mg·L−1 to 12.3 mg·L−1 within 90 min, compared to 13.3 mg·L−1 for HNPs. Three-dimensional fluorescence spectroscopy indicated that hematite alters the humification process, thereby modifying photosensitization. Electron paramagnetic resonance (EPR) spectroscopy identified the generation of singlet oxygen (1O2), hydroxyl radicals (·OH), and carbon-centered radicals (CH3C(=O)OO·). HNCs significantly enhanced 1O2 production, while HNPs favored ·OH generation; both inhibited CH3C(=O)OO· formation. Quantitative analysis via high-performance liquid chromatography revealed that the steady-state concentration of 1O2 was highest with HNCs, reaching 2.80 times that of the PSDOM control, whereas ·OH concentration peaked with HNPs at 1.98 times the control. Notably, the steady-state concentration of 1O2 was approximately three orders of magnitude higher than that of ·OH. These findings elucidate the morphology-dependent role of hematite in PSDOM photosensitization, providing mechanistic insights into the environmental fate of microplastic-derived organic matter in complex soil systems.
Journal of Environmental Engineering Technology•2026•DOI: 10.13205/j.hjgc.202606012
River and lake sediments, as both sources and sinks of water pollutants, significantly impact overlying water quality and aquatic ecosystems. In pollution treatment and ecological restoration, managing contaminated sediments is critical. Remediation technologies are categorized into ex-situ and in-situ methods; in-situ techniques have gained prominence due to lower costs and minimal environmental disturbance. This review summarizes sediment pollution status, comprehensively examines physical, chemical, biological, and combined in-situ remediation technologies, and discusses their mechanisms, applications, and future research needs. It proposes optimization strategies for emerging technologies, material improvements, and pathways for sustainable development, emphasizing interdisciplinary integration to enhance remediation efficacy. Key pollutants include heavy metals (e.g., Cd, Hg), persistent organic pollutants (POPs), and emerging contaminants like antibiotics and microplastics. In-situ methods such as capping, chemical oxidation, and bioremediation show promise but face challenges in long-term stability and scalability. The paper underscores the need for sustainable, cost-effective solutions and highlights recent advances in combined technologies, offering a reference for future research and engineering applications.
SCIENCE CHINA Materials•2026•DOI: 10.1007/s40843-025-3774-3
Lithium-air capacitor batteries (LACBs) integrate the rapid charge-discharge capability of supercapacitors into conventional lithium-oxygen batteries, significantly enhancing power density. However, their cycling stability remains unsatisfactory. In this study, we incorporated redox mediators (RMs) into an LACB featuring a dual-cathode configuration. This design facilitates sustained electron transfer between the electrode and Li2O2/Oxygen, thereby delaying RM deactivation caused by electrode passivation and improving overall electrochemical performance. The RM-enhanced battery achieved over 250 cycles at 2 mA cm−2 with a limited capacity of 0.5 mAh cm−2, while exhibiting a 0.54 V reduction in charging voltage at 0.1 mA cm−2 compared to the RM-free system. Furthermore, application of an aluminum foil sealing technique enabled a power density of 13.8 mW cm−2 at 6 mA cm−2, overcoming mass transport limitations inherent in open-cell configurations. We also investigated the influence of oxygen barrier films with varying barrier capabilities on LACB performance. Results indicate that films with superior oxygen resistance better maintain a clean capacitor electrode surface, thereby providing more stable electron supply to the RMs and enhancing rate capability and cycling performance. These findings underscore the potential of redox mediators in improving the performance and longevity of LACBs, offering a promising strategy for their future development.
SCIENCE CHINA Materials•2026•DOI: 10.1007/s40843-026-4178-y
Rational design of metal–nitrogen–carbon (M–N–C) single-atom catalysts (SACs) for selective CO2 electroreduction is still largely guided by first-shell coordination engineering, while the catalytic impact of the surrounding non-coordinated “second-shell” microenvironment remains underexplored. Here, we show that tailoring the peripheral nitrogen microenvironment can decisively switch product selectivity in Cu-based SACs, even with an identical Cu–N4 first-shell motif. Using a polymer coordination strategy, pyrrolic-N–regulated Cu–Npr–C and pyridinic-N–regulated Cu–Npy–C exhibit strikingly divergent behaviors: Cu–Npr–C selectively produces formate with 72.6% Faradaic efficiency (FE) at −0.7 V vs. RHE and sustains >67% FE over 10 h, whereas Cu–Npy–C predominantly drives H2 evolution (up to 69% FE). In situ attenuated total reflection surface enhanced infrared spectroscopy captures an earlier emergence of the key HCOO* intermediate on Cu–Npr–C, evidencing accelerated formate-pathway kinetics enabled by the pyrrolic microenvironment. Density functional theory calculations further support that pyrrolic second-shell regulation promotes the O-bound formate route while disfavoring hydrogen adsorption, whereas the pyridinic microenvironment renders H adsorption more competitive and biases the reaction toward hydrogen evolution reaction. Extending this second-shell strategy to Ni SACs confirms its generality: Ni–Npy–C achieves 96.8% CO selectivity, while Ni–Npr–C shows mixed CO/H2 production. This work establishes second-shell microenvironment regulation as a general and actionable design principle for steering selectivity in M–N–C SACs toward targeted CO2 reduction products.
Chinese Journal of Environmental Engineering•2026•DOI: 10.12030/j.cjee.202505104
This study investigated the synergistic remediation of aged oil-contaminated soil collected from an oil well in Yanchang, northern Shaanxi, China, with an initial total petroleum hydrocarbon (TPH) concentration of 17.1 g·kg⁻¹, exceeding the second-class land use screening value (4,500 mg·kg⁻¹) by approximately 3.8-fold. Indigenous high-efficiency degrading strains were screened and a microbial consortium was constructed. Pot experiments were conducted to compare the TPH degradation efficiencies and soil property changes under plant, microbial, and combined plant-microbial remediation. The consortium MC-5 (SDB1:SDB2:SDB3:SDB4 = 1:1:0:3) exhibited the highest TPH degradation rate of 83.46% in liquid culture. In soil, combined remediation with ryegrass (Lolium perenne) achieved a TPH degradation rate of 60.93%, significantly higher than the control (CK) by 54.26 percentage points. The consortium also degraded recalcitrant resins and asphaltenes by 49.44%. The microbial consortium played a dominant role, contributing 63%–69% to TPH removal, whereas plant contribution was only 2%–12%, primarily in the later stage. Addition of rhamnolipid biosurfactant enhanced the combined remediation, increasing TPH degradation by 7.05 percentage points compared to non-amended treatments. These findings provide insights into the mechanisms of plant-microbial synergy and offer theoretical and practical guidance for bioremediation of petroleum-contaminated soils.
Chinese Journal of Environmental Engineering•2026•DOI: 10.12030/j.cjee.202506024
A simple, economical method for the multi-residue determination of phenolic compounds in wastewater was developed using simultaneous distillation extraction (SDE) combined with derivatization and gas chromatography-mass spectrometry (GC-MS). The effects of extraction time, salt concentration, and pH on extraction efficiency were investigated. Optimal recovery was achieved with the addition of 10 g·L−1 NaCl, adjustment of pH to 4, and extraction with dichloromethane for 2.5 h. Under these conditions, recoveries for spiked concentrations of 100 ng·L−1 and 1,000 ng·L−1 ranged from 58.92% to 91.08% (RSD 2.97%–8.60%, n=3) and 68.83% to 109.88% (RSD 3.06%–7.22%, n=3), respectively. Limits of quantification (LOQ) were between 8.46 and 59.67 ng·L−1, with good linearity over the range of 10.0–1,000 ng·L−1. The method integrates extraction and purification in a single step, reducing sample preparation steps and organic solvent consumption, while improving sample throughput and recovery. Derivatization enhances sensitivity, enabling the detection of ultra-trace phenolic multi-residues in complex matrices such as influent of wastewater treatment plants.
Environmental Chemistry•2026•DOI: 10.7524/j.issn.0254-6108.2026020207
Although the production and use of hexabromocyclododecanes (HBCDs) have been completely banned in China since December 2021, historical production activities may still leave high-concentration residual contamination in localized areas. This study investigated a typical legacy site of historical HBCDs production in eastern China. Surface and core soil samples were systematically collected both inside and outside the former plant area to characterize the occurrence, spatial distribution, and environmental burden of HBCDs, and to evaluate associated human health risks. Results showed that HBCD concentrations in soils outside the plant area ranged from below detection limit to 6.90×10² ng·g⁻¹ dw, while those inside the plant area were substantially higher, reaching up to 1.18×10⁶ ng·g⁻¹ dw. γ-HBCD was the dominant isomer; however, its relative abundance was lower than that reported in commercial HBCD mixtures and in previous studies conducted near production facilities. Outside the plant, HBCDs concentrations in soil generally decreased with increasing distance from the site, yet remained detectable at a distance of approximately 10 km (15.2 ng·g⁻¹ dw). Within the plant area, HBCDs concentrations in soil cores decreased with depth, declining from 1.08×10⁴–1.18×10⁶ ng·g⁻¹ dw in surface soils to 1.05–93.5 ng·g⁻¹ dw at depths of about 4 m. Analysis of the relative cumulative environmental burden indicated that although HBCDs loads were highest in the near-source area, they gradually accumulated over a broader spatial scale. Approximately 23.7%, 40.1%, 60.0%, and 87.1% of the total estimated burden accumulated within 2 km, 2.81 km, 4 km, and 6 km from the site, respectively. Health risk assessment indicated that oral ingestion of soil was the primary exposure pathway for different populations. Localized high-contamination zones within the plant area contributed significantly to non-carcinogenic risks, while overall risks for children outside the plant area were at acceptable levels.
Journal of Environmental Engineering Technology•2026•DOI: 10.13205/j.hjgc.202607021
The continuous expansion of urban sewage treatment capacity has led to a sustained increase in sludge generation, making efficient treatment, disposal, and resource recovery critical in environmental engineering. Machine learning (ML) offers substantial potential for prediction and optimization in sludge treatment by extracting non-linear features from complex operational data. This review systematically examines the application of ML across typical sludge treatment processes, including dewatering, resource recovery (anaerobic digestion), and terminal disposal (incineration and landfill). The general modeling workflow is summarized across three dimensions: dataset preparation, algorithm selection, and model evaluation. A comparative analysis evaluates the applicability and limitations of support vector machines (SVM), random forests (RF), artificial neural networks (ANN), and other deep learning models. SVMs demonstrate greater stability with small-to-medium sample sizes and high-dimensional data, while RFs exhibit strong generalization and provide variable importance insights. ANNs and deep learning models excel in large-scale data and time-series or image tasks but require high data quality. Key findings from the literature include ANN achieving R²=0.99 and RMSE=0.02 in dewatering prediction, and R²=0.86 with NRMSE=0.31 in anaerobic digestion, while gradient boosting reached R²=0.90 and RMSE=0.33. Future directions emphasize multi-source data fusion, model interpretability (e.g., SHAP), and coupling ML with mechanistic models to enhance predictive accuracy and generalization, supporting intelligent and refined sludge treatment management.
Journal of Environmental Engineering Technology•2026•DOI: 10.13205/j.hjgc.202607022
Anaerobic sludge digestion is the core process for achieving energy recovery and sludge reduction in wastewater treatment plants. However, its complex biological reaction mechanisms and multivariable coupling characteristics pose persistent challenges to process optimization and stable control. Traditional mechanistic models, while theoretically clear, suffer from parameter calibration difficulties and insufficient adaptability under dynamic and nonlinear conditions. Machine learning (ML) has gained attention for its powerful data modeling capabilities. This review systematically examines ML applications in sludge anaerobic digestion, focusing on biogas production prediction, process monitoring and early warning, and process parameter optimization. For gas production, hybrid models and deep learning achieve high-precision methane yield predictions. Soft-sensing models using easy-to-measure parameters enable real-time estimation of volatile fatty acids and total ammonia nitrogen. At the optimization level, coupling surrogate models with optimization algorithms provides dynamic regulation strategies for co-digestion ratios and pretreatment conditions. Interpretable methods address the 'black-box' issue, enhancing engineering acceptability. Deep integration of these methods with dynamic optimization supports an intelligent decision-making framework. However, translation from laboratory to engineering faces constraints including data quality, model generalization, and implementation. This paper provides an analytical framework combining predictive capability with engineering reliability for sludge treatment optimization.
SCIENCE CHINA Materials•2026•DOI: 10.1007/s40843-025-3983-4
Refrigeration is essential for modern society, supporting applications from household appliances and industrial manufacturing to microelectronics and biopharmaceutical cold chains. Conventional refrigeration technologies are constrained by environmental impact and low energy efficiency, emphasizing the importance of developing sustainable alternatives. Solid-state caloric refrigeration, particularly electrocaloric (EC) devices, offers a promising route owing to their high cooling efficiency, rapid electric-field-driven response, and potential for miniaturization. Significant progress has been achieved in various EC device configurations. However, EC devices still face challenges in achieving large temperature spans, high cooling power, and effective integration for specific applications. This review systematically summarizes these developments, focusing on device design and performance enhancement. It elucidates the fundamental and shared design strategies, classifies EC devices into fluid-based heat-transfer type, solid-based heat-transfer type, and thermal-resistance-modulated heat-switch architectures, and analyzes representative device structures, performance metrics, and application scenarios. Finally, energy-recovery strategies and future optimization directions toward more efficient EC systems are discussed. This work provides a comprehensive reference for the design innovation and practical implementation of EC-based solid-state refrigeration technologies.
SCIENCE CHINA Materials•2026•DOI: 10.1007/s40843-025-3967-x
Metal-halide perovskites exhibit exceptional optical gain, narrow emission linewidths, and high emission efficiency, positioning them as promising candidates for next-generation lasers. Thermal evaporation, a mature semiconductor fabrication technique, offers scalability, yet monitoring phase distribution during deposition remains challenging. This study systematically investigates and regulates thermally evaporated FAxCs0.8PbBr3 perovskite films by tuning formamidinium (FA) content to optimize phase distribution. At intermediate FA content, films achieve a balanced distribution of n=2 to n=5 quantum-well phases, facilitating ultrafast carrier transfer (<0.31 ps) and suppressing nonradiative recombination. FA+ actively incorporates as an A-site cation, promoting ordered crystallization and reducing defect densities. The optimized films exhibit a net modal gain of 1041 cm−1 and a gain lifetime of 129 ps. Benefiting from efficient internal scattering, the threshold for cavity-free random lasing is reduced to below 5 μJ/cm2 at room temperature. The low spatial coherence of random lasing enables speckle-free imaging with a speckle contrast as low as 0.011 and improved contrast-to-noise ratios across all spatial frequencies. This work provides a scalable strategy for perovskite composition-phase engineering, advancing speckle-free laser imaging systems compatible with semiconductor-grade, large-area manufacturing.
SCIENCE CHINA Materials•2026•DOI: 10.1007/s40843-025-4011-7
Biomass-derived room-temperature phosphorescence (RTP) carbon dots (CDs) hold great promise for anti-counterfeiting and information encryption. However, achieving solid-state matrix-free long-lived CDs with time-dependent phosphorescence colors (TDPC) remains challenging due to aggregation-induced quenching. Here, solid-state matrix-free RTP phosphorus-doped CDs (P-CDs) are developed via one-step hydrothermal treatment of feather powder and phytic acid. The resulting P-CDs powder exhibits bright blue fluorescence under UV illumination and unprecedented TDPC shifting from yellow to green after UV removal, with afterglow lasting 12 s (average lifetime 1.15 s). Enhanced RTP is attributed to increased triplet-state excitons via spin-orbit coupling induced by P-doping. A dual-mode luminescent ink formulated by combining P-CDs with polyvinyl alcohol (PVA) is successfully applied to commercial A4 paper, showing pronounced TDPC (light-yellow to green) with improved RTP lifetime (1.31 s) after ceasing UV irradiation. The P-CDs/PVA ink demonstrates excellent anti-counterfeiting and information encryption capabilities, outstanding luminescent durability, and broad practicability on cellulosic substrates including fabric and paper. These findings provide a strategy for exploiting matrix-free solid-state RTP P-CDs with distinctive TDPC properties and offer a sustainable route to converting feather wastes into high-value materials.
Chinese Journal of Environmental Engineering•2026•DOI: 10.12030/j.cjee.202510042
Given China's escalating municipal solid waste (MSW) generation and the limitations of current classification schemes, this study proposes a novel waste classification model centered on mid-end intelligent sorting technology. The approach integrates targeted pretreatment with multimodal visual recognition and robotic grasping to efficiently sort complex household waste, while compact equipment innovations adapt to the low-value characteristics of recyclables. An engineering demonstration case shows that the technology can effectively recover low-value recyclables comprising 15%–30% of mixed MSW. If applied at 5% of a case city's waste transfer stations, approximately 5×10^4 t of recyclables could be sorted annually. Preliminary estimates indicate a 20% return on investment for operators at an 80 t·d−1 scale. The study demonstrates that mid-end intelligent sorting offers a technically feasible and economically sustainable solution to reduce fiscal expenditure on waste classification while improving efficiency.
SCIENCE CHINA Materials•2026•DOI: 10.1007/s40843-025-3978-0
All-polymer solar cells (all-PSCs) are promising for flexible and wearable electronics due to their excellent stability and mechanical stretchability. However, achieving high performance remains challenging due to difficulties in controlling the morphology of polymer blend films. In this study, a novel polymer donor, PBDTF-DTP, incorporating a weak electron-withdrawing yet large-dipole-moment dithienylphthalimide (DTP-2T) unit, was rationally designed and synthesized for ternary all-PSCs. Introducing PBDTF-DTP as a guest donor enables complementary light absorption and deepens the highest occupied molecular orbital level, simultaneously improving short-circuit current density (J_SC) and open-circuit voltage (V_OC). The large dipole moment of DTP-2T increases the dielectric constant, suppressing non-radiative energy loss and further boosting V_OC. Notably, PBDTF-DTP exhibits a relatively higher molecular electrostatic potential than the host donor, effectively tuning compatibility with both polymer donor and acceptor, regulating blend morphology, and promoting formation of a nanoscale fibrillar network. This optimized morphology facilitates efficient charge generation and transport while suppressing charge recombination. Consequently, ternary all-PSCs based on PM6:PBDTF-DTP:PYIT achieve a synergistic enhancement in J_SC, V_OC, and fill factor, yielding a remarkable power conversion efficiency of 18.01%, significantly higher than that of binary PM6:PYIT devices (15.51%). This study demonstrates that combining electrostatic potential optimization with a ternary strategy provides an effective approach to regulate morphology and achieve high-efficiency all-PSCs.
SCIENCE CHINA Materials•2026•DOI: 10.1007/s40843-025-4003-7
The escalating electromagnetic (EM) pollution necessitates the development of high-performance microwave absorbers (MAs) with integrated functionalities. However, it is still a difficult problem to integrate more related high performances into the designed MAs. Herein, a sustainable strategy was reported for fabricating three-dimensional (3D) porous magnetic Ni@C-anchored carbon foams (Ni@C/CFs) with abundant heterointerfaces and magnetic Ni@C nanoparticles using 3D porous chitosan foams and Ni-nitrilotriacetic acid chelate (Ni-NAC) as precursors. The modulation of carbonization temperature and concentration of Ni-NAC solution contributed to the tunable carbon graphitization, Ni crystallinity and magnetic Ni@C nanoparticles loading, which effectively improved their EM properties and EM wave absorption performances (EMWAPs). The optimized 3D porous magnetic Ni@C/CFs not only exhibited exceptional EMWAPs with a minimum reflection loss (RL min) of −27.58 dB and an ultra-wide effective absorption bandwidth (EAB) of 7.20 GHz, but also presented efficient thermal insulation and strong antibacterial activity (>95% inhibition against E. coli), which mainly originated from their excellent magnetic-dielectric synergies and unique 3D hierarchical porous structures. Consequently, this work delivers a coherent design strategy for next-generation multifunctional absorbers with potential applications in EM protection, thermal management, and adaptive stealth technologies.
SCIENCE CHINA Materials•2026•DOI: 10.1007/s40843-025-4058-4
Bacterial infection following endometrial injury delays tissue regeneration and may progress to endometritis and other reproductive disorders. Photodynamic therapy (PDT) offers a promising antibacterial strategy in the post-antibiotic era, yet its efficacy is often limited by rapid recombination of photogenerated charge carriers and poor penetration of visible excitation light. Here, we report a previously unexplored upconversion-mediated, Type I dominant photodynamic antibacterial uterine scaffold specifically designed for infection-associated endometrial injury. The core innovation is the construction of a Schottky Ag0-Ag2S heterojunction on NaYF4:Yb,Tm nanoparticles using ZIF-8 as a sacrificial precursor, enabling efficient charge separation and oxygen-independent hydroxyl radical generation, overcoming the oxygen dependence of conventional Type II PDT under hypoxic uterine conditions. The upconversion core permits deep-tissue-penetrable near-infrared (NIR) activation. Beyond instantaneous PDT, dynamic release of Ag+ ions provides synergistic bactericidal activity, enabling spatiotemporally coordinated biofilm disruption. These nanostructures were incorporated into patient-customizable, biodegradable poly(L-lactic acid) (PLLA) scaffolds fabricated by selective laser sintering, achieving simultaneous antibacterial therapy and endometrial regeneration in a single platform. This integration of an oxygen-independent PDT mechanism, MOF-templated heterojunction engineering, and 3D printed personalized uterine implants constitutes a comprehensive therapeutic strategy not previously reported for treating infection and endometrial injury.
SCIENCE CHINA Materials•2026•DOI: 10.1007/s40843-025-4334-9
Piezoelectric materials underpin modern electromechanical energy conversion, serving as critical components in sensors, actuators, and energy harvesters. Their performance is intrinsically governed by the piezoelectric coefficient, yet optimizing this property remains challenging due to the profound influence of diverse microscopic structures. This review systematically examines three fundamental crystalline architectures—perovskite, wurtzite, and fluorite—and critically analyzes performance optimization strategies tailored to each structure. We explore five principal modification approaches: defect engineering, elemental doping, heterostructure film fabrication, composite film design, and buffer layer incorporation, with emphasis on the underlying physical mechanisms that drive property enhancements. By providing a cross-structural comparison, this review establishes clear structure–property relationships, offering a foundational guide for material selection and design. Furthermore, we highlight the implications of these advanced materials for next-generation applications in energy harvesting and smart devices. Finally, we present a forward-looking roadmap, outlining emerging research directions and addressing key technical challenges to guide the development of next-generation high-performance piezoelectric materials.
SCIENCE CHINA Materials•2026•DOI: 10.1007/s40843-026-4048-x
Selective oxidation of aromatic alkanes is a key reaction to produce high-value chemicals in the chemical industry. However, the strong C–H bonds and inert chemical properties of aromatic alkanes render the oxidation process difficult, thereby making the development of promising and sustainable catalysts highly desirable. Herein, a resin-assisted coordination co-assembly strategy is developed to synthesize heterometal-doped mesoporous Co3O4 with abundant oxygen vacancies, enabling precise control over both composition and pore structure. The site-specific Mn doping at octahedral sites of mesoporous Co3O4 promotes the formation of oxygen vacancy with enhanced activity. Density functional theory calculations further demonstrate that Mn doping in mesoporous Co3O4 reduces the oxygen vacancy formation energy, induces the electronic structure modifications and introduces the defect energy levels, finally promoting the efficient catalytic oxidation of a series of aromatic alkanes. Representatively, Mn-doped mesoporous Co3O4 exhibits remarkably outstanding catalytic activity, achieving 37% conversion of ethylbenzene and 97% selectivity for acetophenone under solvent-free conditions.
SCIENCE CHINA Materials•2026•DOI: 10.1007/s40843-026-4223-2
Flexible wearable electronics require materials that simultaneously exhibit high conductivity, mechanical flexibility, and environmental robustness. Polyoxometalate (POM)-based conductive hydrogels are promising candidates but suffer from poor interfacial compatibility with polymer matrices and severe conductivity loss at subzero temperatures. Here, we report a POM-based proton-conductive hydrogel (PVA/P(SBMA-AM)/PW12/PA, denoted PSAWA) engineered by incorporating zwitterionic sulfobetaine methacrylate (SBMA), phytic acid (PA), and H3PW12O40 (PW12) into a poly(vinyl alcohol)-polyacrylamide dual-network. SBMA enhances PW12 loading and dispersion via an electrostatic–steric synergistic mechanism, while PA cooperates with PW12 to construct low-energy-barrier proton-conduction pathways, enabling fast proton migration even at −40 °C. The resulting PSAWA hydrogel achieves ultrahigh proton conductivities of 2.71 × 10−1 S cm−1 at 25 °C and 1.06 × 10−2 S cm−1 at −40 °C, alongside high stretchability, self-healing capability, antibacterial activity, and biocompatibility. Flexible biosensors and supercapacitors fabricated from PSAWA maintain outstanding performance at −40 °C. This work provides a viable strategy for developing low-temperature-tolerant proton-conductive hydrogels for advanced wearable electronics.
SCIENCE CHINA Materials•2026•DOI: 10.1007/s40843-026-4147-9
Fiber-shaped zinc-air batteries (FZABs) with aqueous electrolytes combine intrinsic safety, high energy density (1086 Wh kg−1), and environmental compatibility, making them attractive for wearable applications. However, free water in the electrolyte induces severe anode degradation while being a critical reactant for cathode redox, presenting a dilemma between anode stability and cathode functionality. The semi-open structure of FZABs allows airborne water to permeate and migrate to the anode, causing interfacial instability, while high surface area accelerates solvent evaporation, leading to increased internal resistance and salt crystallization. Consequently, typical cycle life is limited to <50 h. To overcome these challenges, we report a polymer electrolyte that captures atmospheric water as a solvent through the semi-open structure, achieved by introducing acetamide (AA), identified via unsupervised clustering algorithms, into the poly(vinylidene fluoride-hexafluoropropylene)/zinc trifluoromethanesulfonate (PVDF-HFP/Zn(OTf)2) system. AA incorporation preserves solvent-retention capability while reconstructing the Zn2+ coordination structure, promoting salt dissociation and polymer-segment mobility. Low adsorption energy of AA on zinc surfaces suppresses parasitic reactions from ambient moisture, and preferential adsorption across zinc crystal planes directs Zn2+ deposition along the (002) face, leading to uniform plating morphology. The exogenous aqueous polymer electrolyte exhibits superior mechanical properties, enabling stable output even after compression by a 1.7-t vehicle. As proof-of-concept, FZABs integrated with fiber solar cells and sensors in clothing enabled real-time health monitoring and sustainable energy utilization, demonstrating promising practical applications.