SCIENCE CHINA Materials•2026•DOI: 10.1007/s40843-026-4245-4
The discrimination of volatile organic compounds (VOCs) at trace concentrations remains a critical challenge for environmental monitoring, industrial process control, and non-invasive disease diagnostics. Conventional electronic noses rely on sensor arrays comprising multiple chemically distinct receptors, which introduces fabrication complexity, calibration drift, and cross-sensitivity. Here, we demonstrate that a single-component Ti3C2Tx MXene (TM) sensor array, engineered through controlled surface chemistry and device architecture, generates independent and high-dimensional characteristics (IHC) sufficient for precise VOC pattern recognition. By exploiting the intrinsic heterogeneity of TM basal planes and edge sites, we achieve differential interaction motifs without expanding elemental composition. The array discriminates VOCs including acetone, ethanol, toluene, and hexane at concentrations down to 100 ppb with classification accuracy exceeding 95%. Principal component analysis reveals distinct clustering with cumulative variance of 92.3% captured by the first three principal components. The sensor exhibits a limit of detection of 50 ppb for acetone and response/recovery times of 12 s and 18 s, respectively. Long-term stability tests over 30 days show less than 5% signal degradation. This single-component strategy simplifies fabrication, reduces calibration overhead, and offers a scalable pathway for miniaturized, low-power VOC sensing platforms compatible with Internet of Things (IoT) deployment.
SCIENCE CHINA Materials•2026•DOI: 10.1007/s40843-026-4176-y
Three-photon microscopy (3PM) in the near-infrared-III (NIR-III) window (1600–1840 nm) enables high-resolution visualization of cerebral vasculature in vivo, but its imaging depth and quality are limited by the performance of fluorescent probes. Here, we report a probe optimization strategy transitioning from mirror symmetry to centrosymmetry, yielding a highly symmetric aggregation-induced emission (AIE) molecule, T4PQ. The centrosymmetric structure aligns donor-acceptor units, promoting uniform electron cloud delocalization and directional charge transfer, which enhances exciton formation and suppresses non-radiative decay, thereby increasing fluorescence quantum yield. This symmetry also boosts the three-photon absorption cross-section by enhancing electron delocalization and transition dipole moment, enabling stronger nonlinear optical responses under long-wavelength excitation. T4PQ nanoparticles (T4PQ NPs) exhibit an enhanced three-photon absorption cross-section, high fluorescence quantum yield, and excellent photostability. In murine models, T4PQ NPs achieved three-dimensional cerebrovascular imaging at a depth of 1785 μm and real-time hemodynamic observation in microvessels at 1006 μm depth, with good biocompatibility. These results validate the advantage of centrosymmetric molecular design for deep-brain imaging probes, offering a high-performance tool for neurovascular research.
Chinese Journal of Environmental Engineering•2026•DOI: 10.12030/j.cjee.202507032
To mitigate global warming, regional carbon neutrality pathways are critical. Based on the Guangdong Energy Policy Simulator (EPS) model, this study simulates total energy consumption and greenhouse gas (GHG) emissions under baseline, Carbon Neutral 60 (CN60), and Carbon Neutral 50 (CN50) scenarios, and analyzes the emission reduction effects and costs of various energy policies. Results show that by 2060, total energy consumption under CN60 and CN50 decreases by 39% and 44% relative to baseline, respectively. Primary electricity and other energy, natural gas, oil, and coal account for 56%, 26%, 14%, and 4% under CN60, and 60%, 24%, 13%, and 3% under CN50. GHG emissions under CN60 drop to 80×10^6 tCO2e by 2060, an 89% reduction from 2020; under CN50, emissions reach 92 and 55×10^6 tCO2e in 2050 and 2060, respectively, reductions of 87% and 92% from 2020. Policies such as increasing clean electricity share, industrial electrification (hydrogen), increasing green power purchases, building electrification, F-gas reduction, and improving industrial energy efficiency standards show significant reduction effects, with clean electricity share being the primary source. Policies like improving industrial energy efficiency standards, increasing industrial product utilization, and increasing clean energy vehicle market penetration are cost-effective; increasing clean electricity share, green power purchases, building electrification, and F-gas reduction effectively balance reduction effects and costs. Industrial electrification (hydrogen) contributes >5% cumulative reduction but faces economic challenges for full-scale promotion in the short term; industrial carbon capture and storage and electrolytic hydrogen contribute <2% cumulative reduction with high costs. Therefore, Guangdong should prioritize cost-effective policies, promote balanced policies, gradually optimize energy structure, achieve clean electricity, and foster green industrial transformation to achieve carbon neutrality at lower economic cost.
Environmental Chemistry•2026•DOI: 10.7524/j.issn.0254-6108.2024122406
The effects of different vegetation types on soil quality in the Green Heart Area of the Changsha-Zhuzhou-Xiangtan City Cluster were evaluated to provide a reference for selecting suitable afforestation species and improving forest soil quality. Seven vegetation types (mixed forest, broad-leaved forest, coniferous forest, economic forest, shrub forest, grassland, and abandoned cropland) with similar site conditions were studied. Eleven soil physicochemical indicators were measured, and soil quality was assessed using principal component analysis (PCA), Pearson correlation, total data set (TDS), minimum data set (MDS), and entropy-weighted TOPSIS methods. Results showed no significant differences in soil water content, soil bulk density, and C:N ratio among vegetation types, while significant differences were found in total porosity, capillary porosity, saturated water content, field water holding capacity, total carbon, total nitrogen, available potassium, and available phosphorus. Compared with abandoned cropland, soil water content, total porosity, field water holding capacity, saturated water content, total carbon, total nitrogen, available potassium, and available phosphorus were significantly higher, and soil bulk density was significantly lower. Mixed forest soil exhibited the highest values for field water holding capacity, total porosity, saturated water content, total nitrogen, total carbon, available potassium, and available phosphorus. Correlation analysis revealed that soil bulk density was extremely significantly negatively correlated with soil water content, total porosity, and saturated water content, and significantly negatively correlated with field water holding capacity, total carbon, and total nitrogen. Soil capillary porosity, field water holding capacity, total porosity, and saturated water content were extremely significantly positively correlated with soil nutrients, while soil bulk density showed varying degrees of negative correlation with soil chemical nutrients. Soil chemical properties and stoichiometric ratios showed varying degrees of significant positive correlation. The order of soil quality under different vegetation types was mixed forest > broad-leaved forest > shrub forest > economic forest > grassland > coniferous forest > abandoned cropland. Mixed forest soil quality was the best and significantly higher than other vegetation types, with significant differences among vegetation types. Mixed forest soil quality was clearly superior. In vegetation restoration and plantation establishment in the Green Heart Area, the principle of matching tree species to site conditions should be followed, with a focus on mixed forests to improve overall soil quality and enhance ecological benefits of artificial vegetation restoration.
Journal of Fuel Chemistry and Technology•2026•DOI: 10.1016/S1872-5813(26)60659-7
Coal gasification fine slag (CGFS), a solid waste from entrained-flow coal gasification, is characterized by fine particles and high silicon and aluminum content. This study proposes a simple and economical hydrothermal synthesis of ZSM-5 molecular sieve using CGFS as raw material. Impurities were removed by acid washing, followed by alkaline extraction of silicon and aluminum species. The extracted Si-Al precursors were crystallized hydrothermally at 170 °C for 48 h, yielding ZSM-5 with a high specific surface area of 358 m2/g. Adsorption experiments showed that the synthesized ZSM-5 exhibited excellent Pb2+ removal performance: at 25 °C, the removal efficiency for a 50 mg/L Pb2+ solution reached 83.7%, with an adsorption capacity of 104.625 mg/g under optimized conditions. The adsorption process is mainly governed by chemisorption mechanisms, including surface complexation, precipitation, and ion exchange. Thermodynamic analyses indicated that Pb2+ adsorption is spontaneous and endothermic, consistent with multilayer chemisorption. The synthesized ZSM-5 shows promising potential for application in the treatment of lead-containing wastewater, offering a high-value utilization route for coal-based solid waste.
Chinese Journal of Environmental Engineering•2026•DOI: 10.12030/j.cjee.202508006
Landfill leachate, characterized by high ammonia nitrogen, high organic load, complex toxic components, and low nitrogen removal efficiency, poses significant environmental challenges. To achieve efficient nitrogen removal, a continuous-flow two-stage anoxic/oxic (A/O) moving-bed biofilm reactor (MBBR) system coupled with anaerobic ammonium oxidation (Anammox) was constructed and operated for long-term treatment of actual landfill leachate. After biofilm attachment and multi-gradient acclimation, influent concentrations were gradually increased from low levels (NH4+-N ~200 mg·L−1, COD ~2500–3000 mg·L−1) to high levels (NH4+-N ~1800 mg·L−1, COD ~8500 mg·L−1). During stable operation, average removal efficiencies of NH4+-N and COD reached 97.7% and 66.8%, respectively, with total nitrogen (TN) removal efficiency improving to 93.9%. Along the reactor, the first A/O stage achieved major organic degradation and ammonia oxidation, while the second stage facilitated nitrite accumulation and promoted Anammox for synergistic nitrogen removal. High-throughput sequencing revealed Proteobacteria as the dominant phylum (>50%), with denitrifying genera such as Azoarcus and Thauera significantly enriched. Planctomycetota abundance increased from 0.6% to 3.7%, and Candidatus Kuenenia was detected, confirming successful Anammox colonization and participation in nitrogen removal. This study validates the efficient combined nitrogen removal mechanism of the A/O–MBBR system with Anammox, providing theoretical basis and technical support for engineering treatment of high-ammonia wastewater.
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.