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Verified CAS / Academic Author3 Decoded Studies

Prof. TIAN Na

School of Civil Engineering, Chang'an University, Xi'an 710061, China

Research Publications & English Decoded Briefs

Showing 3 publications
SCIENCE CHINA Materials2026DOI: 10.1007/s40843-026-4244-0

Boosting the Operational Stability of Near-Infrared Perovskite LEDs Utilizing a Zinc Ion-Chelated Hybrid Electron-Transport Layer: The Critical Role of Interfacial Reactions

Near-infrared perovskite light-emitting diodes (NIR-PeLEDs) suffer from poor operational stability, largely due to interfacial reactions at the electron-transport layer (ETL)/perovskite interface. Here, we introduce a zinc ion (Zn2+)-chelated hybrid ETL derived from a Zn2+-chelated polyethylenimine ethoxylated (PEIE) complex, which partially retains the surface properties of ZnO but exhibits significantly reduced oxygen defects and surface-adsorbed hydroxyl groups. This well-modulated surface promotes perovskite crystallization and mitigates interface-induced deprotonation of organic cations during device operation. Consequently, NIR-PeLEDs employing this hybrid ETL achieve a peak external quantum efficiency (EQE) of 20.1%, a high radiance of 652 W sr-1 m-2, and an exceptional T50 lifetime of 270.7 hours at a high current density of 100 mA cm-2, which is over five times that of devices based on conventional ZnO nanocrystal (NC) ETLs. Our results present an effective ETL strategy for operationally stable NIR-PeLEDs and thoroughly reveal the critical role of regulating interfacial reactions in stabilizing buried interfacial contacts. These findings provide valuable insights for advancing perovskite optoelectronic devices that suffer from interface-induced performance degradation.

Journal of Fuel Chemistry and Technology2026DOI: 10.1016/S1872-5813(25)60612-8

Efficient Leaching and Separation of Iron, Aluminum, and Calcium from Carbon-Rich Components in Coal Gasification Fine Slag Using Organic Acids

Coal gasification fine slag (CGFS) is a solid waste generated in large quantities during coal gasification, containing residual carbon and inorganic ash rich in SiO2, Al2O3, CaO, Fe2O3, and MgO. The carbon-rich components (CGFS-H) of CGFS, typically comprising 20–50% residual carbon, present both environmental challenges and opportunities for resource recovery. This study systematically investigates the selective leaching behavior of Fe3+, Al3+, and Ca2+ from CGFS-H using three organic acid extractants: citric acid, tartaric acid, and tetrasodium iminodisuccinate (IDS-4Na). The results demonstrate distinct selectivity: IDS-4Na exhibits the highest leaching yield and selectivity for Fe3+, achieving a single leaching yield of 41.2% while suppressing Ca2+ and Al3+ leaching to below 4%, with a selectivity ratio of Fe3+ to Al3+ and Ca2+ of 10.73. Tartaric acid effectively leaches both Fe3+ and Al3+, with single yields of 38.7% and 33.5%, respectively, while Ca2+ leaching remains below 5%, yielding a selectivity of Fe3+ and Al3+ relative to Ca2+ of 14.73. Citric acid preferentially leaches Ca2+, achieving a single yield of 71.5%, but also leaches Fe3+ and Al3+ at 35.2% and 39.1%, respectively, resulting in a low selectivity ratio of Ca2+ to Fe3+ and Al3+ of 0.96. Based on these selective affinities, a green stepwise separation method was developed using sequential leaching with IDS-4Na, tartaric acid, and citric acid. Under optimal conditions, cumulative leaching yields of 79.8% for Fe3+, 65.08% for Al3+, and 78.6% for Ca2+ were achieved. XRD, XRF, and SEM analyses elucidate the complexation mechanisms, indicating that the synergistic effects of selective coordination between structurally diverse organic acids and metal ions drive the process. This advancement provides a critical foundation for developing Ca/Fe/Al hydrotalcite materials using CGFS-H as a sustainable feedstock, promoting resource-efficient utilization of coal gasification fine slag.

Chinese Journal of Environmental Engineering2026DOI: 10.12030/j.cjee.202509124

Water Quality Assessment and Driving Mechanism Analysis of the Hanjiang River Basin Based on WQI-PCA-OPGD

To reveal the spatiotemporal evolution and driving mechanisms of water quality in the Hanjiang River Basin, this study utilized monthly water quality monitoring data from 54 sections from January 2021 to April 2024. Methods including single-factor index, comprehensive water quality index (WQI), principal component analysis (PCA), and optimal parameters-based geographical detector (OPGD) were employed. Results indicated significant spatiotemporal differences, with total nitrogen (TN), chemical oxygen demand (COD), and permanganate index (CODMn) as major pollutants, TN being the most critical. Temporally, agricultural non-point source organic pollution dominated in wet season, while comprehensive organic pollution with industrial point source characteristics prevailed in dry season. Spatially, water quality deteriorated along the main stream, with tributary downstream areas showing severe pollution, forming a pattern of 'mountainous areas good, plains poor'. OPGD revealed combined effects of natural conditions and human activities, proposing a 'zonal control and targeted treatment' strategy.