Na Liu

Intensified Roasting at Low-Temperature and Alkaline Leaching to Efficiently Remove Harmful Elements for Green Utilization of Secondary Aluminum Dross

Na Liu, Yue Wang, Qing Long, Anyan Long et autres

Secondary aluminum dross (SAD) from the aluminum industry is a hazardous residue that restricts sustainable aluminum production. Residual aluminum nitride (AlN) and insoluble fluorides after conventional pretreatment are major barriers to the safe utilization of SAD. In this study, a low-temperature intensified …

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Defect engineering in reactive binary α-Al2O3 enables low-temperature pressureless densification of alumina ceramics

Jinquan Wen, Xiaobin Li, Tiangui Qi, Na Liu et autres

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Sodium elimination from Bayer gibbsite to prepare high purity alumina through aluminum coordination and pore structure regulation

Jinquan Wen, Guihua Liu, Tiangui Qi, Na Liu et autres

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Efficient transformation from boehmite into gibbsite at room temperature via strong interaction between oxygen deficiency and the single free water

Jinquan Wen, Guihua Liu, Tiangui Qi, Na Liu et autres

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Nitrogen-doped carbon derived from industrial lignin via self-activation for oxidative cleavage of C–O/C–C bonds in lignin

Na Liu, Yingjie Zhao, Yingxiang Zhao, Haiwei Guo et autres

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Precise synthesis of telechelic rodlike polyisocyanides: versatile building blocks for fabricating polymer frameworks with controllable pore-apertures

Yang Zong, Run‐Tan Gao, Na Liu, Shixing Lei et autres

Bis(phenylethynyl)palladium catalysts initiate living polymerization of various isocyanides. The resulting polyisocyanides serve as building blocks for the fabrication of covalent polymer frameworks with customizable pore structures.

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Design and reinforcement mechanisms of the binary alumina ceramics with improved density derived from industrial gibbsite and boehmite

Jinquan Wen, Guihua Liu, Tiangui Qi, Na Liu et autres

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Predicting the Fate and Source of Groundwater PFAS in the Pearl River Delta Region Based on Machine Learning

Jingwen Zeng, Kai Liu, Chih‐Huang Weng, Chao Yong Yan et autres

Extensive investigations into the increasingly severe contamination of perfluoroalkyl and polyfluoroalkyl substances (PFAS) in groundwater are currently causing high costs and long duration. Machine learning provides useful tools for predicting the occurrence of PFAS in groundwater and for tracing pollution sources. It …

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Degradation of 2- (2-hydroxy-5-methylphenyl) benzotriazole (UV-P) by ferrate(VI): key factors, reaction pathway, and toxicity assessment

Xiaochen Qi, Fuli Li, Chih‐Huang Weng, Kai Liu et autres

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Enhancing Catalytic Removal of N-Nitrosodimethylamine from Drinking Water Matrices with One-Step-Carbonized Ferric Ammonium Citrate

Jing Lv, Lingyue Zhang, Jialu Li, Yuting Zhang et autres

N-Nitrosodimethylamine (NDMA) is a widely recognized disinfection by-product that poses significant carcinogenic risks in drinking water. Conventional methods for NDMA removal, such as nanofiltration and reverse osmosis membranes, have limited efficacy due to NDMA’s small molecular weight and polar properties. Advanced oxidation …

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Strong Interaction between Oxygen Deficiency and the Single Free Water Efficiently Converting Boehmite into Gibbsite at Room Temperature

Jinquan Wen, guihua Liu, Tiangui Qi, Na Liu et autres

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Study on groundwater PFAS pollution near large livestock farms in Guangdong-Hong Kong-Macao Greater Bay Area

Xiujuan Wang, Kai Liu, Zhongen Tang, Renchuan Fu et autres

The extensive use of per - and polyfluorinated alkyl substances (PFASs) with toxic effects seriously endangers the quality of groundwater resources. There are currently relatively few studies on the impact of livestock farms as sources of PFAS release on surrounding groundwater. In …

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