许紫峻（1993.05-）
男，新疆乌鲁木齐人，博士，副教授，硕导。自治区“天池英才”-青年博士，现任新疆大学生态与环
境学院环境系教师。
联系方式：
办公地点：生态与环境学院309
电子邮件：xzj@xju.edu.cn
教育经历：
2018-09至2022-06, 中国农业大学, 资源与环境学院, 环境科学与工程专业, 工学博士
2015-09至2018-06, 新疆大学, 资源与环境科学学院, 环境科学与工程专业, 工学硕士
2011-09至2015-06, 新疆大学, 资源与环境科学学院, 环境科学专业, 理学学士
工作经历：
2022-12至今, 新疆大学, 生态与环境学院, 副教授
2022-06至2022-12, 新疆大学, 生态与环境学院, 讲师
主要研究方向：
荧光纳米材料在环境检测中的应用；纳米材料在环境介质中的迁移转化；纳米肥料的开发及应用
主持/参与科研项目：
国家自然科学基金委员会, 面上项目, 新型金属纳米团簇和荧光碳点构建的比率型荧光生物传感器及应用研究, 2018-01至2021-12, 60万元, 结题, 参与
近5年发表论文：
(1) Ma R, Zhu J, Xu Z*, Shi Q*, Zhang L, Fan J. (2025). Highly efficient reduction of Cr (VI) from industries sewage using novel biomass-driven carbon dots modified TiO2 under sunlight. Separation and Purification Technology, 357, 130082.
(2) Xu Z*, Ma R, Zhang C, Chen J, Fan J, Shi Q. (2024). A novel quaternary ammonium structure of carbon dots modified TiO2 for fast reduction of Cr (VI) over a wide pH range under sunlight. Chemical Engineering Journal, 489, 151363.
(3) Ma R, Xu Z*, Zhang C, Li H, Chen J, Fan J, Shi Q. (2024). Highly efficient reduction of Cr (VI) from industries sewage using novel biomass-driven carbon dots modified TiO2 under sunlight. Chemical Engineering Journal, 500, 157480.
(4) Chen J, Zhang M, Xu Z*, Ma R, Shi Q. (2023). Machine-learning analysis to predict the fluorescence quantum yield of carbon quantum dots in biochar. Science of the Total Environment, 896, 165136.
(5) Xu Z, Wang K, Zhang M, Wang T, Du X, Gao Z, Hu S, Ren X*, Feng H*. (2022). Machine learning assisted dual-emission fluorescence/colorimetric sensor array detection of multiple antibiotics under stepwise prediction strategy. Sensors and Actuators B: Chemical, 359 , 131590-131601.、
(6) Xu Z*, Chen J, Liu Y, Wang X, Shi Q*. (2022). Multi-emission fluorescent sensor array based on carbon dots and lanthanide for detection of heavy metal ions under stepwise prediction strategy. Chemical Engineering Journal, 441, 135690-135699.
(7) Liu Y, Chen J, Xu Z*, Liu H, Yuan T, Wang X, Wei J*, Shi Q. (2022). Detection of multiple metal ions in water with a fluorescence sensor based on carbon quantum dots assisted by stepwise prediction and machine learning. Environmental Chemistry Letters, 22, 1475-1481.
(8) Mei A, Xu Z*, Wang X*, Liu Y, Chen J, Fan J, Shi Q. (2022). Photocatalytic materials modified with carbon quantum dots for the degradation of organic pollutants under visible light: A review. Environmental Research, 214, 114160.
(9) Xu Z, Liu J, Wang K, Yan B, Hu S, Ren X*, Gao Z.* (2021). Facile synthesis of N-doped carbon dots for direct/indirect detection of heavy metal ions and cell imaging. Environmental Science and Pollution Research, 28 (16), 19878-19889.
(10) Xu Z, Wang Z, Liu M, Yan B, Ren X*, Gao Z*. (2020). Machine learning assisted dual-channel carbon quantum dots-based fluorescence sensor array for detection of tetracyclines. Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy, 232 (8), 1386-1425.
授权专利：
胡树文, 刘晋, 许紫峻, 任雪芹, 高子登. 盐离子和 pH 双敏感高分子盐碱土缓控释膜材料及其制备方法[P]. ZL 202010030961.2.