SCIENCE CHINA Materials•2026•DOI: 10.1007/s40843-026-4425-4
Flexible and weavable alternating-current electroluminescent (ACEL) fiber devices are pivotal for wearable displays and human-computer interfaces, yet their intrinsic lack of color tunability restricts high-density information interaction. This study presents a dynamically color-tunable electroluminescent fiber device with a coaxial winding structure that integrates multiple fiber electrodes emitting the three primary colors. Through simple voltage driving, the device achieves a color gamut covering 131.07% of the sRGB standard, enabling arbitrary full-color tunability, including standard white light with CIE coordinates of (0.31, 0.33). The emission peak is continuously tunable over a 161.7 nm range, a 4-fold enhancement compared to previously reported ACEL fibers. The coaxial winding architecture is compatible with large-scale fabrication, yielding hundred-meter-scale fiber devices with a luminance variation of only 2.76%. The electroluminescent performance remains stable under stringent industrial standards: 10,000 friction cycles, 20 accelerated washing cycles, and 10-day storage at 105 °C and −20 °C. Integration into a smart textile watchband demonstrates real-time heart rate visualization via progress color changes and gesture-controlled color switching, validating its potential as an effective human-computer interface.
SCIENCE CHINA Materials•2026•DOI: 10.1007/s40843-026-4344-5
Germanium-based materials (Ge-based) have been explored as anodes for potassium-ion batteries (PIBs) due to their high theoretical capacity (369 mAh g-1) and moderate potassium insertion potentials. However, their application is hindered by volume expansion and unstable solid electrolyte interphase films. This review systematically synthesizes recent advances in Ge-based materials (encompassing metallic Ge, oxides, chalcogenides, and alloys), with an emphasis on structure-performance relationships to elaborate synergistic optimization strategies. Key optimization strategies such as nanostructuring, composite design with conductive supports, interfacial engineering, doping, and electrolyte modification are elaborated. The potassium storage mechanisms of different materials are compared, and the effectiveness of various modification strategies is evaluated under different operating conditions. High-throughput computations are integrated with experimental validation to guide material and electrolyte design. A life cycle assessment perspective is also introduced to evaluate the sustainability and practical viability of Ge-based materials. Given the high cost and low abundance of Ge, these materials are more suitable for niche applications where high energy density is critical, rather than large-scale grid storage. The review underscores the necessity of balancing electrochemical performance with economic and environmental considerations, proposing a roadmap for future research that prioritizes cost-effective synthesis and scalable manufacturing.
SCIENCE CHINA Materials•2026•DOI: 10.1007/s40843-025-3733-2
Irreversible sodium loss, primarily caused by solid electrolyte interphase (SEI) formation during initial cycling, significantly degrades the capacity of sodium-ion batteries by depleting active sodium. While pre-sodiation mitigates initial sodium loss, it fails to address continuous loss throughout the battery lifecycle. To overcome this limitation, we propose a sustained sodium compensation strategy utilizing activation-releasing systems. Key to this approach are high-capacity sodium compensators, Na2C2O4 and Na2C4O4, supported on a B and N co-doped Mo2C-W2C (MoW-C) heterostructure catalyst. This configuration enables efficient sodium release at charging voltages of 3.53 and 3.78 V, respectively. By integrating the sodium supplement agent onto the separator, and precisely controlling voltage and charge, multiple sodium replenishment is achieved over the entire battery lifecycle. This strategy reduces initial active sodium loss by 36.53%. Furthermore, a single activation during subsequent usage provides an additional 0.115 mAh cm−2 of active sodium. As a result, the cell exhibits exceptional cycling stability, with a capacity loss of only 0.059% per cycle over 350 cycles at 0.5 C.
SCIENCE CHINA Materials•2026•DOI: 10.1007/s40843-025-3625-3
Zirconia (ZrO2)-based fluorite ferroelectric materials are promising for nonvolatile memory and logic devices due to their CMOS compatibility and cost advantages over hafnium oxide (HfO2). However, the metastable nature of the ferroelectric orthorhombic phase (o-phase) hinders practical application. Here, we report the strain-mediated stabilization of the ferroelectric o-phase in ZrO2 thin films grown on niobium-doped strontium titanate (NSTO) substrates with different crystallographic orientations via chemical solution deposition. Systematic structural and ferroelectric characterization, combined with simulation, reveals that substrate orientation controls in-plane tensile strain, selectively promoting epitaxial growth of the o-phase. The ZrO2 film on NSTO(110) exhibits the highest o-phase content, achieving a remanent polarization (2Pr) of 92.64 μC/cm², which remains as high as 88.54 μC/cm² after resistive-capacitive (RC) delay calibration. The device shows endurance of approximately 10^7 cycles with favorable fatigue characteristics. X-ray absorption spectroscopy (XAS) further indicates distortion of Zr-O tetrahedra, providing microscopic insight into the ferroelectricity. This work presents a novel strategy for property tuning of ZrO2 films and supports their application in storage and logic devices.
Journal of Environmental Engineering Technology•2026•DOI: 10.13205/j.hjgc.202604009
Biological nitrogen removal in wastewater treatment plants (WWTPs) is often limited by insufficient influent carbon sources, necessitating external carbon addition to enhance denitrification. Conventional single carbon sources, such as sodium acetate, frequently fail to meet the metabolic demands of complex microbial communities, compromising nitrogen removal efficiency and stability. Composite carbon sources, by providing multiple electron donors, can improve metabolic cooperation among microorganisms, yet their underlying microbial mechanisms remain insufficiently understood. In this study, activated sludge from a municipal WWTP was used to investigate the microbial mechanisms of composite carbon sources during denitrification. Batch denitrification experiments were conducted in combination with metagenomic and metatranscriptomic analyses to systematically characterize microbial community structure and functional gene expression under different carbon source conditions. Results showed that, compared with sodium acetate as the single carbon source, the composite carbon source system (sodium acetate: sodium succinate: ethanol = 2:1:3) increased the denitrification rate from (6.822 ± 0.141) mg/(L·h) to (8.370 ± 0.186) mg/(L·h), representing a 22.7% improvement, while reducing N2O accumulation by approximately 55%. Metagenomic analysis revealed that Ottowia, Rubrivivax, Thauera, and Zoogloea were the dominant denitrifying genera. Metatranscriptomic results further demonstrated that the composite carbon sources significantly upregulated the transcription of key denitrification genes, with nirS, norB, and nosZ increasing by 37.8%, 27.4%, and 48.6%, respectively. In addition, the composite carbon sources promoted complementary carbon metabolic strategies among different microbial communities, enhancing electron donor supply and improving denitrification efficiency. These findings indicate that composite carbon sources synergistically enhance denitrification performance through regulation of functional gene transcription in complex microbial communities, providing a theoretical basis for carbon source optimization in WWTPs.
The Chinese Journal of Process Engineering•2026•DOI: 10.12034/j.issn.1009-606X.225185
Sulfur hexafluoride (SF6), widely used as an insulating gas in high-voltage electrical equipment, possesses a global warming potential (GWP) 25,200 times that of CO2, necessitating efficient degradation technologies. This study employed computational fluid dynamics (CFD) to simulate the thermal catalytic degradation of SF6 in a fixed-bed reactor, integrating models for porous media, heat transfer, turbulence, and chemical kinetics. The simulations revealed significant radial non-uniformities in pressure, velocity, temperature, and species concentration distributions, with temperature identified as the dominant factor influencing degradation efficiency. Radial temperature gradients caused uneven reaction rates, with degradation rates near the wall substantially exceeding those at the central axis, thereby reducing overall SF6 conversion. To address this, structural optimizations were implemented, including reducing the reactor tube diameter and incorporating inert porous media with high thermal conductivity at both ends of the catalytic section. These modifications enhanced radial heat transfer, homogenized the temperature field, and improved the uniformity of reaction rates and species concentrations. Parametric studies on inlet gas velocity showed that both excessively low and high flow rates were detrimental: low velocities led to underutilization of the downstream catalyst and increased energy consumption, while high velocities deteriorated heat transfer and exacerbated radial temperature gradients. The optimal inlet velocity range was determined to be 0.4–0.8 m/s for a reactor tube inner diameter of 10 mm, balancing catalyst utilization, energy consumption, and degradation efficiency. This research provides data-driven guidance for the design and scale-up of SF6 catalytic degradation reactors.
Journal of Fuel Chemistry and Technology•2026•DOI: 10.3724/2097-213X.2025.JFCT.0034
Catalytic cracking of gasoline and diesel to light olefins is a pivotal route for high-value utilization of surplus fuels, typically employing zeolite catalysts. This study systematically investigates the effects of zeolite type and acidic properties on the catalytic cracking of dodecane, a diesel model compound, using SAPO-34, ZSM-5 with SiO2/Al2O3 ratios of 38, 85, and 200, and USY. Catalysts were characterized by XRD, SEM, N2 physisorption, NH3-TPD, and pyridine-FTIR, and evaluated in a fixed-bed reactor. Results demonstrate that zeolite type is the primary determinant of conversion and product distribution. SAPO-34, with 0.38 nm pores, achieved only 24.33% conversion and negligible BTX yield, with severe external coking. ZSM-5-38 and USY, with larger pores, achieved near-complete conversion; however, ZSM-5-38, possessing moderate acidity, yielded the highest light olefins (18.40%) and minimal coke (0.18%), while USY, with higher acidity, promoted hydrogen transfer and coking (12.90% coke). Within ZSM-5 series, lower acid site density (ZSM-5-200) proved optimal, achieving 97.79% conversion and a total light olefin yield of 41.93% (ethylene 11.11%, propylene 20.33%, butenes 10.49%) with low coke (0.43%). The study proposes reaction pathways and regulatory mechanisms, highlighting that zeolite type and acidity govern the relative rates of cracking, hydrogen transfer, oligomerization, aromatization, and coking, thereby dictating performance. These findings provide a rational basis for optimizing zeolite catalysts in commercial gasoline/diesel cracking processes.
Environmental Chemistry•2026•DOI: 10.7524/j.issn.0254-6108.2025102801
This study develops a multivariate time-series forecasting model for water quality in the Lhasa River, focusing on four key indicators: water temperature, pH, dissolved oxygen, and turbidity. Data preprocessing integrated multiple missing-value imputation strategies and interquartile range (IQR) outlier removal. Boxplots and relative standard deviation (RSD) assessed data distribution and dispersion, while autocorrelation and Pearson correlation analyses revealed periodic patterns and inter-variable relationships. Four representative algorithms—Support Vector Regression (SVR), Extreme Gradient Boosting (XGBoost), CNN-BiLSTM-Attention, and TCN-Transformer—were optimized via Bayesian hyperparameter tuning. Model performance was evaluated using MAE, MSE, RMSE, and R². The study systematically compared the effects of different missing-value handling methods, both independently and combined with IQR outlier removal. Results indicate that CNN-BiLSTM-Attention excels in water temperature prediction, suitable for relatively stable and simple patterns. In contrast, TCN-Transformer demonstrates superior performance for pH, dissolved oxygen, and turbidity, which exhibit strong nonlinearity and long-term dependencies, effectively capturing temporal dependencies and coupling relationships. The findings provide a viable technical route and theoretical reference for river water quality monitoring and intelligent early-warning systems.
Journal of Environmental Engineering Technology•2026•DOI: 10.13205/j.hjgc.202607011
Anaerobic digestion (AD) is a viable route for energy recovery from food waste (FW), yet it often suffers from process instability due to volatile fatty acids (VFAs) accumulation and subsequent pH drop. This study modified red mud (RM) with hydrochloric acid to produce acid-modified red mud (AMRM), aiming to optimize its alkalinity and physicochemical properties. The efficacy of AMRM as an additive in FW anaerobic digestion was systematically evaluated. Results demonstrated that adding 3% AMRM significantly enhanced the buffering capacity and controlled VFAs accumulation, particularly propionic acid. This was attributed to the developed pore structure of AMRM, whose specific surface area increased by 347% compared to raw RM, facilitating rapid VFAs adsorption. Furthermore, AMRM enriched hematite (Fe2O3), which elevated electron transport system (ETS) activity and coenzyme F420 content, suggesting its role as an electron carrier promoting direct interspecies electron transfer (DIET) between syntrophic bacteria and methanogens. Consequently, the cumulative methane yield reached 633.9 mL/g VS, which was 175.1% and 55.2% higher than the control and raw RM groups, respectively. The VS removal efficiency was 75.1%. This study provides a dual-pathway mechanism—adsorption and electron transfer—for enhancing AD performance, offering a cost-effective and sustainable strategy for FW treatment and RM valorization.
Environmental Chemistry•2026•DOI: 10.7524/j.issn.0254-6108.2025041405
Microplastics, as a class of emerging environmental contaminants, pose global concerns due to their potential ecological and human health impacts. Accurate identification and quantification of microplastics in environmental matrices are essential for assessing their environmental fate and ecological risks. Pyrolysis-based analytical methods, which decompose macromolecules into smaller fragments followed by gas chromatographic separation and mass spectrometric detection, offer high sensitivity and accuracy, making them significant for microplastic analysis. Despite these advantages, their application remains nascent, with limited comprehensive understanding of their applicability across diverse environmental media. This review systematically compares three pyrolysis-based techniques—pyrolysis-gas chromatography-mass spectrometry (Py-GC-MS), thermogravimetry-differential scanning calorimetry (TGA-DSC), and thermal extraction-desorption gas chromatography-mass spectrometry (TED-GC-MS)—for microplastic detection in various matrices. The effectiveness of each method is evaluated in terms of sensitivity, selectivity, and matrix compatibility. Critical challenges, including lack of standardized protocols, complex sample pretreatment requirements, and limitations in quantifying mixtures, are identified. Future research directions emphasize the need for standardization, optimization of pretreatment for complex matrices, and integration with complementary techniques such as FTIR and Raman spectroscopy to enhance comprehensive microplastic characterization. This review provides a critical framework for selecting appropriate pyrolysis-based methods and highlights areas requiring further methodological development.
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/s40843-026-4332-3
This correction addresses an error in the affiliations of the authors of the article 'Intrinsic pseudocapacitive Na0.44MnO2 prepared by novel ion-exchange method for high rate and robust sodium-ion batteries' originally published in Science China Materials, volume 66, issue 10, 2023, pages 3810–3816. In the original publication, one affiliation of the first author (Yuge Cao) was missing, and the affiliations of the authors were incorrectly labeled. The corrected affiliations are as follows: Yuge Cao is affiliated with the State Key Laboratory of High-Performance Ceramics and Superfine Microstructures, Shanghai Institute of Ceramics, Chinese Academy of Sciences, Shanghai 200050, China; the Beijing National Laboratory for Molecular Sciences and State Key Laboratory of Rare Earth Materials Chemistry and Applications, College of Chemistry and Molecular Engineering, Peking University, Beijing 100871, China; and the Center of Materials Science and Optoelectronics Engineering, University of Chinese Academy of Sciences, Beijing 100049, China. The other authors' affiliations are also corrected accordingly. The corresponding authors are Hui Bi ([email protected]) and Fuqiang Huang ([email protected]). This correction does not affect the scientific content of the original article.