Journal of Environmental Engineering Technology•2026•DOI: 10.13205/j.hjgc.202604014
Ice slurry pigging is an emerging technology for cleaning water supply pipelines, yet quantitative understanding of its cleaning mechanisms and optimal operating conditions remains limited. This study developed a computational fluid dynamics (CFD) model integrating the kinetic theory of granular flows (KTGF), the Euler-Euler method, and the shear stress transport (SST) model to simulate ice slurry flow and wall shear stress distribution. The model was validated against experimental data, showing a 6.4% error in particle concentration distribution, a 3.3% average error in solid-phase velocity in the mainstream region, and a pressure drop error within 20%. A total of 125 simulations were performed under varying initial concentrations (20%–60%), particle diameters (0.3–1.0 mm), and flow velocities (0.2–1.0 m/s). Results indicate that higher initial concentrations (60%) achieve effective cleaning of both upper and lower pipe walls, with an effective shear stress ratio of 77.39%. Larger particles exhibit pronounced upward movement, increasing non-uniformity in solid distribution. Flow velocity is the dominant factor affecting wall shear stress; at 1.0 m/s, the effective shear stress ratio reaches 83.16%. The optimal parameters for cumulative shear stress were identified as 50% initial concentration, 0.5 mm particle diameter, and 1.0 m/s flow velocity, yielding an average cumulative shear stress of 11.59 Pa·s. For effective cumulative shear stress, the same parameters produced 9.89 Pa·s, while the highest effective shear stress ratio (88.50%) was achieved with 0.3 mm particles at 1.0 m/s and 50% concentration. This research provides theoretical guidance for ice slurry pigging operations in water supply pipelines.
SCIENCE CHINA Materials•2026•DOI: 10.1007/s40843-025-3906-2
Achieving flexible polymer-based organic afterglow materials with color-tunable and stimulus-responsive capabilities is significant in diverse optoelectronic fields, especially in next-generation wearable full-color display applications, yet remains a great challenge. Here, we report polymer-based dual-mode afterglow systems that realize long-lived color-tunable afterglow with full-color gamut of blue, green, orange, red, and even white-light emissions with ultralong lifetimes up to 2.42 s. This unique performance is enabled by a universal strategy of dual-mode afterglow-assisted Förster resonance energy transfer (FRET) that utilizes seconds-long dual-mode afterglow materials as energy donors and permits efficient synchronous transfer of singlet and triplet excitons from energy donors to the fluorescent dye acceptors. More impressively, the dual-mode afterglow-assisted FRET efficiency reaches up to 99%, with the lifetime of the energy acceptor reaching 1.55 s. Associated with the abundant hydrogen-bonding interactions within the polymer system, the doped afterglow films exhibit water/thermal stimulus responsiveness and recyclability. Furthermore, these full-color dual-mode afterglow materials are employed for multicolor screen-printing, optical anti-counterfeiting, and high-level information encryption, demonstrating considerable application potential in advanced anti-counterfeiting technologies.
SCIENCE CHINA Materials•2025•DOI: 10.1007/s40843-025-3348-1
Chemotherapy induces immunogenic cell death (ICD) but is compromised by elevated cholesterol in the tumor microenvironment (TME), which activates myeloid-derived suppressor cells (MDSCs) and exhausts CD8+ T cells. A poly(lactide-co-glycolide) (PLGA)-based nanoplatform (COD/MTO@PLGA@FA) co-loading mitoxantrone (MTO) and cholesterol oxidase (COD) was engineered to respond to acidic TME, releasing MTO and COD. MTO kills tumor cells and triggers ICD; COD consumes cholesterol, downregulating PD-1 on tumor-infiltrating CD8+ T cells and inhibiting MDSC activation. In 4T1 tumor-bearing mice, COD/MTO@PLGA@FA plus αPD-L1 increased splenic CD4+ and CD8+ T cells from 63.4% to 72.3% and 25.7% to 32.5%, respectively. CD8+PD-1+ T cells decreased to 5.93% versus 35.9% (PBS), 31.4% (αPD-L1), 29.0% (MTO@PLGA), 23.0% (COD/MTO@PLGA), and 12.2% (COD/MTO@PLGA@FA). MDSC infiltration dropped from 16.3% to 2.25% (combination) and 6.14% (COD/MTO@PLGA@FA alone). DC maturation in tumor-draining lymph nodes reached 35.3% with the combination. The platform reverses CD8+ T cell exhaustion and remodels the immunosuppressive TME, significantly inhibiting tumor growth. This strategy offers a practical approach to enhance chemo-immunotherapy by targeting cholesterol metabolism.