Environmental Chemistry•2026•DOI: 10.7524/j.issn.0254-6108.2025091203
The persistence of tetracycline (TC) in aquatic environments poses significant ecological risks. This study developed a homogeneous reaction system based on carboxylated Fe2+ enhanced peroxymonosulfate (PMS) activation, using citric acid (CA) as a ligand. Carboxylation improved Fe2+ stability and catalytic activity, while solid PMS served as the oxidant, circumventing issues of traditional Fenton processes such as H2O2 instability, complex heterogeneous catalyst preparation, high disposal costs, and toxic metal leaching. The acidic pretreatment enabled by CA inhibited Fe2+ oxidation and promoted sustained PMS activation without external energy input. Under optimized conditions (TC 5 mg·L−1, Fe2+ 0.02 mmol·L−1, CA 0.001 mmol·L−1, PMS 2 mmol·L−1), 88.80% TC degradation was achieved within 60 min. Mechanistic studies revealed that CA protected Fe2+ active sites via carboxyl coordination, facilitating continuous generation of reactive species, including singlet oxygen (1O2) and sulfate radicals (SO4•−). 1O2 was the dominant species (50.5% contribution), followed by SO4•− (35.7%), synergistically driving efficient TC degradation while significantly reducing iron sludge production. Phytotoxicity assays confirmed that treated water exhibited no significant toxicity to wheat seedlings (P > 0.05), indicating effective ecological risk elimination. This work provides a low-energy, operationally simple, and environmentally friendly technology for antibiotic-contaminated water treatment, with promising practical application potential.
Journal of Environmental Engineering Technology•2026•DOI: 10.13205/j.hjgc.202605005
Water quality prediction is essential for river basin management, yet existing models often struggle with non-stationary, noisy monitoring data. This study collected water quality data from two city-level control sections in southern China from December 2020 to June 2024, including eight indicators: water temperature, turbidity, pH, conductivity, dissolved oxygen (DO), ammonia nitrogen (NH4+-N), total phosphorus (TP), and permanganate index (CODMn). To predict four key indicators (DO, NH4+-N, TP, CODMn), we developed hybrid models combining seasonal trend decomposition (STD), Bayesian hyperparameter optimization, and either random forest (RF) or XGBoost. STD smoothed and denoised the data while extracting seasonal factors; Bayesian optimization tuned model hyperparameters. Evaluation showed that the STD-Bayesian-XGBoost model achieved smaller bias errors and higher prediction accuracy than STD-Bayesian-RF. Specifically, XGBoost reduced root mean square error (RMSE) by 15-20% across all four indicators and improved the coefficient of determination (R²) to above 0.90, compared to RF's 0.85-0.88. The models were validated on southern river data, but the methodology is generalizable to other climatic and hydrological settings. This work provides a technical reference for pollution reduction and carbon management in regional watersheds.
SCIENCE CHINA Materials•2026•DOI: 10.1007/s40843-025-4010-4
Liver fibrosis, a critical pathological consequence of chronic liver injury, remains a therapeutic challenge due to its complex mechanisms and limited effectiveness of conventional treatments. Recent advancements in two-dimensional (2D) nanomaterials, such as graphene derivatives, transition metal dichalcogenides (TMDs), black phosphorus nanosheets (BPNSs), MXenes, and layered double hydroxides (LDHs), have created novel opportunities for antifibrotic therapy. These materials exhibit exceptional physicochemical properties, including ultrahigh surface area, tunable surface chemistry, biocompatibility, and photothermal/electrochemical functionalities, enabling multifaceted interventions in fibrosis progression. The core therapeutic strategies mainly involve modulating hepatic stellate cells (HSCs) activation, inhibiting excessive extracellular matrix (ECM) deposition, and alleviating oxidative stress and inflammatory responses. However, 2D nanomaterials still face great challenges, such as long-term biosafety, precise functionalization for tissue-specific targeting, and scalable synthetic methods. This review systematically summarizes the recent breakthroughs in anti-fibrosis strategies based on 2D nanomaterials, elucidates their potential mechanisms of action, and explores the prospects for clinical translation of these nanoplatforms. Serving as a nexus between materials science and hepatology, 2D nanomaterials offer revolutionary prospects for precision medicine applications in hepatic fibrosis management.