SCIENCE CHINA Materials•2026•DOI: 10.1007/s40843-025-3536-5
Nanomaterial-based optical biomedicine and devices have attracted significant attention for tumor diagnosis and treatment, yet their application in tumor ablation is often hindered by limited functional integration and concerns over excessive radiation exposure. In this study, we address these challenges by developing a multifunctional fiber probe based on lanthanide-doped nanoparticles, featuring decoupled modules for localized heating and optical thermometry. This design enables synergistic therapy under near-infrared (NIR) laser irradiation. Beyond achieving precise photothermal ablation and real-time temperature monitoring, we uncovered a unique phenomenon: the generation of reactive oxygen species (ROS) by these nanoparticles under NIR laser excitation, even in the absence of traditional photosensitizers. Through a combination of experimental and computational approaches, we elucidated the physical mechanisms underlying ROS generation in wide-bandgap lanthanide nanoparticles. Leveraging these insights, we constructed an all-optical fiber system capable of simultaneous precise thermal control and photodynamic therapy. Our findings offer valuable guidance for the development of advanced optical nanomaterials and devices for effective tumor treatment, both in vivo and in vitro.
Chinese Journal of Environmental Engineering•2026•DOI: 10.12030/j.cjee.202507054
In many Chinese wastewater treatment plants (WWTPs), residual chlorine is still manually monitored at low frequencies, leading to imprecise disinfectant dosing. This study systematically compared four machine learning models—backpropagation (BP) neural network, long short-term memory (LSTM) neural network, random forest (RF), and support vector regression (SVR)—for predicting chlorine consumption (i.e., the difference between chlorine dose and residual chlorine) during non-monitoring periods under different residual chlorine monitoring frequencies (every 1, 2, 4, 6, and 8 h). Using data from Plant A (equipped with online residual chlorine monitoring) and Plants B and C (manual monitoring every 6 h and 8 h, respectively), input variables included online water quality indicators (temperature, flow, NH3-N, CODCr, TP, TN) and chlorine dose. Results showed that at 1-h intervals, LSTM achieved the highest prediction accuracy; at 2–4-h intervals, RF performed best; at 6-h or lower frequencies, BP was superior; SVR performed worst across all frequencies. Validation on Plants B and C confirmed BP's optimal performance under low-frequency conditions, and particle swarm optimization (PSO) significantly improved its accuracy. These findings provide a basis for selecting appropriate machine learning models for chlorine consumption prediction under varying monitoring frequencies, particularly low-frequency manual monitoring, thereby supporting precise disinfectant dosing control.
Journal of Fuel Chemistry and Technology•2026•DOI: 10.3724/2097-213X.2025.JFCT.0025
Endogenous alkali and alkaline earth metals (AAEMs) in biomass ash and pyrolysis temperature significantly influence the properties of pyrolysis polygeneration products. This study selected potassium (K+) and calcium (Ca2+) as representative AAEMs, added them at mass ratios of 2%, 5%, and 7% to corn stover via impregnation, and conducted fixed-bed pyrolysis at 400, 500, and 600 °C to investigate the yields and compositions of gas, liquid, and solid products. Results showed that increasing metal ion concentration significantly increased biochar yield, with Ca2+ at 7% achieving 24.96% biochar yield, while bio-oil yield generally decreased. Ca2+ strongly promoted H2 formation due to its Lewis acidity, reaching 32.49% in gas at 7% concentration, and facilitated furan enrichment to 65.88%. K+ at low concentrations favored phenolic formation, while high concentrations promoted ketones and intensified bio-oil cracking. Increasing temperature from 400 to 600 °C decreased biochar yield and increased gas yield, with high temperatures enhancing secondary cracking and reforming, significantly raising H2 and CH4 yields while suppressing oxygenates. At 600 °C, K+ catalysis increased acids to 39.41%, while Ca2+ maintained furans at 65.89%. This study demonstrates that adjusting metal ion concentration and temperature enables directional regulation of high-value bio-oil components and high-energy gases, providing a theoretical basis for optimized biomass pyrolysis utilization.
Journal of Fuel Chemistry and Technology•2026•DOI: 10.1016/S1872-5813(26)60635-4
A Cu-based carbon catalyst (H-Cu/C) with octahedral morphology was synthesized by pyrolyzing the metal-organic framework (MOF) precursor HKUST-1 under inert N2 atmosphere. Characterization via XPS, XRD, SEM, and HRTEM revealed that Cu(0) nanoparticles were uniformly dispersed in a carbon matrix, with island-like Cu2O structures serving as active sites. The carbon matrix effectively stabilized the metal nanoparticles, suppressing migration and sintering during reaction. Combined with TEMPO and using molecular oxygen as a green oxidant, the H-Cu/C catalyst exhibited high efficiency in the selective oxidation of aromatic alcohols to corresponding aldehydes under alkali-free conditions. Using benzyl alcohol as a model substrate, an alcohol conversion of 99.2% and a benzaldehyde yield of 94.1% were achieved under mild conditions (100 °C, 0.5 MPa O2, 1 h). The catalytic system demonstrated excellent universality for various mono- and ortho/para-disubstituted aromatic alcohols, affording conversions over 99% and aldehyde yields above 95%. The catalyst could be regenerated via H2 reduction and reused without significant loss of activity. This work provides a new strategy for designing green and efficient non-noble metal catalytic systems for oxidation reactions.
SCIENCE CHINA Materials•2026•DOI: 10.1007/s40843-025-3875-1
Photocatalytic hydrogen evolution reaction (HER) from pure water is a promising strategy to address critical challenges in energy sustainability and environmental remediation. However, HER over single-component photocatalysts is intrinsically limited by inefficient carrier separation and relatively poor photostability. Forming abundant interfaces between two components is an effective approach for solving these issues. Herein, a series of hierarchical core-shell heterojunction photocatalysts, designated as F@Z-X, was rationally constructed by in situ growing ZnIn2S4 (ZIS) nanosheets on a Ti-based metal-organic framework (FIR-125), demonstrating remarkable structural stability. Due to the abundant intimate contact interfaces and well-matched band structure, the F@Z-X series exhibit enhanced HER performance. Among them, the optimized heterojunction [email protected] shows a photocatalytic hydrogen evolution rate of 3789.45 μmol g−1 h−1, which is about 4.4 and 264.4 times higher than that of pristine ZIS (859.57 μmol g−1 h−1) and FIR-125 (15.32 μmol g−1 h−1), respectively. Moreover, the photocatalyst manifests excellent reusability and durability, maintaining its performance over five consecutive cycles and sixteen hours of continuous reaction. The outstanding performance of [email protected] may be ascribed to an optimal balance among three fundamental photocatalytic processes: sufficient light absorption, exceptional carrier separation, and appropriate surface reaction. This work offers valuable insights into the rational design and controllable synthesis of novel heterojunction photocatalysts for efficient hydrogen evolution.
SCIENCE CHINA Materials•2026•DOI: 10.1007/s40843-025-4006-4
Hydrogels, despite their potential in flexible electronics and wearable sensors, often suffer from inadequate mechanical robustness under sustained loading. This study aims to overcome this limitation by developing a novel nanocomposite hydrogel system through the integration of calcium-polyoxometalate sub-nanometer wires (Ca-POM SNWs) into a polyvinyl alcohol (PVA) matrix. Utilizing a H2O/ethylene glycol (EG) binary solvent, the hydrogel achieves uniform dispersion of Ca-POM SNWs, which enhances mechanical properties through dual reinforcement mechanisms: stress dissipation via polymer-mimetic flexibility and crystallinity improvement via hydrophobic ligand-induced chain alignment. The resulting PVA/Ca-POM hydrogel exhibits exceptional performance, including a 2.4-fold increase in fracture stress (0.85 MPa), 3.8-fold toughness enhancement (2.76 MJ m−3), and high ionic conductivity (3.6 S m−1). As a strain sensor, it achieves a gauge factor of 2.56 with rapid response, enabling precise detection of both large joint movements and subtle physiological vibrations. A prototype Morse code communication system further demonstrates its potential in assistive healthcare technologies, facilitating barrier-free, real-time communication between disabled patients and clinicians. This work highlights a breakthrough in inorganic-organic interface compatibility, offering a versatile platform for next-generation wearable technologies and extreme-environment applications. The innovative design principles and multifunctional performance underscore its significance in advancing soft material engineering.