Predicting heavy metal distribution coefficient in global soil via machine learning: The effect of mineral heterogeneity.

A literature review on heavy metal pollution in aquatic environments: Assessment methods, ecotoxicological impacts, and health risk implications.

Multigenerational impacts and health risk of environmental pollutants on fish caused by life-cycle exposure.

Sodium polyacrylate-modified bentonite-fly ash composite for coal gangue backfill sites: A sustainable strategy for enhanced impermeability and immobilization of heavy metals.

Double jeopardy: The simultaneous risk of extreme air pollution and renewable energy deficits

Nanoplastics exacerbate lead exposure-induced developmental neurotoxicity by disrupting gut integrity in Drosophila.

PM2.5-bound nitrated and oxygenated PAHs induced lipid metabolism disorder through different target organs.

Reduced disparity in the physiological effects between perfluorooctanoic acid and its alternative GenX on freshwater microalgae during co-exposure with nanoplastics.

Environmental and public health risks of antibiotic resistance gene pollution in poultry systems: Sustainability impact, transmission pathways, and mitigation strategies

Biovoltage-driven, sulfurized Fe-Co anode promoted the generation of salt source active species for enhanced antibiotic removal.

Economic evaluation of a microalgae-based pig manure treatment: a model involving the circular economy and bioeconomy.

P0754 Air pollution and kidney stone risk: A large-scale nationwide case-crossover study

Assessment of heavy metal pollution and ecological risk in sediments from the Southeast coastal and riverine zones of Bangladesh

Machine learning frameworks for predicting pulmonary cell toxicities induced by metal ions in the atmosphere.

Spatiotemporal dynamics of non-point source pollution risks driven by heavy rainfall in response to reticular river network structural changes: A complex network perspective

A critical review of electrolytic manganese residue treatment technologies: Opportunities, challenges, and pathways for sustainable development.

Integrating landscape "source-transport-sink" mechanisms into GeoAI to enhance surrogate modeling of watershed nutrient loads.

Identification of priority management tributaries to protect drinking water sources in the Yangtze River mainstream: A novel framework based on simulated arsenic pollution incidents.

As an emerging pollutant, microplastics (MPs) have posed a substantial global environmental threat to agricultural soil health. Pollutant removal and risk control are core concepts in soil remediation. Recent studies have increasingly highlighted the potential of earthworms in enabling the degradation of MPs through various mechanisms, such as physical fragmentation within gizzards, depolymerization via gut microbiota and digestive enzymes, and the activation and maintenance of functional microbes involved in plastic degradation. Additionally, an increasing data set has confirmed that earthworms can mitigate the adverse effects of MPs on soil health. Consequently, earthworm-mediated remediation (vermiremediation) may represent a potential remediation strategy for managing MP pollution in agricultural soil. However, its practical implementation is constrained by multiple obstacles, including the complexity and ecotoxicity of MPs, the techniques for introducing earthworms, and the prevailing field conditions. These restrictions present significant challenges to the successful application of vermiremediation, underscoring the need for further research.

The degradation of aquatic pollutants using eco-friendly and non-toxic photocatalytic materials is a pivotal strategy for water pollution remediation. However, single-component photocatalysts typically suffer from low photocatalytic efficiency due to limited light absorption spectra and rapid recombination of photogenerated charge carriers. This study reports a novel and facile one-step mixing strategy for realizing triple synergistic modifications: heterostructured composite construction, specific surface area regulation, and efficient photogenerated electron–hole pair separation of Bi2MoO6 (BMO) via composite enhancement with low-cost and intrinsically green g-C3N4 (CN), which avoids the high cost, complex processes, and potential pollution risks of precious metal/heavy metal modification for BMO. Under visible-light irradiation, the BMO composite modified with 15 wt% CN achieved a dye removal rate of 85.1% within 60 min, representing a 1.6-fold enhancement in photocatalytic performance compared with that achieved using pristine BMO. We further clarify the unique photocatalytic mechanism of the CN/BMO heterojunction via radical quenching experiments, identifying photogenerated holes (h+) and superoxide radicals (·O2−) as the dominant active species for Rhodamine B (RhB) degradation. This study systematically demonstrates a scalable photocatalyst preparation method that integrates controllable specific surface area, rational heterostructure construction, and simple operation, and we provide an in-depth investigation into the photocatalytic reaction process and underlying synergistic enhancement mechanism. The proposed non-metallic modification route provides a new theoretical and experimental basis for the design of high-efficiency BMO-based photocatalysts, and the as-prepared CN/BMO composite holds great potential for practical application in sustainable solar-driven water purification.