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段倩囡

个人信息

姓名:段倩囡

学历:博士

职称:讲师

邮箱:qnduan@nwu.edu.cn

个人简介

基本情况

段倩囡,南京大学环境科学与工程专业博士,长期从事复杂化学体系多尺度信息表征与智能解析方法开发方面的研究,具体包括:智能环境监测检测技术开发、生化传感芯片开发、先进光学成像技术开发、环境功能材料合成与应用、机器学习&深度学习等。目前,个人对复杂性科学、芯片实验室、AI for science等领域有较强的研究兴趣,在相关研究领域已发表SCI论文20余篇,获得发明专利3项。

研究方向

1.智能环境监测检测技术开发与应用

2.环境功能材料的高通量筛选与制备

3.环境化学品健康风险评估理论和方法研究

欢迎对上述研究方向感兴趣的老师、同学多多交流,一起做一些有趣又酷的科学研究。The answer to life, the universe, and everything is 42!

教授课程

本科生课程:《仪器分析》、《环境系统分析》、《工程管理》、《环境地学》

研究生课程:《环境材料技术与应用》、《环境反应工程》

主要课题

(1)复杂污染物样品的特征图谱开发与智能检测方法研究,陕西省自然科学基础研究计划项目(主持,在研)

(2)基于复色光谱智能感知的农业面源污染物检测方法研究,陕西省教育厅科技计划项目(主持,在研)

(3)太湖流域饮用水安全保障工程技术与综合管理技术集成研究,国家水体污染控制与治理科技重大专项独立课题(参与,结题)

主要成果

[1]Zhiqiang Guo, Fenli Liu, Qiannan Duan, Wenjing Wang, Qianru Wan, Yicai Huang, Yuting Zhao, Lu Liu, Yunjin Feng, Libo Xian, Hang Gao, Yiwen Long, Dan Yao, Jianchao Lee, A spectral learning path for simultaneous multi-parameter detection of water quality,Environmental Research, 2023, 216(4):114812-114820.

[2]Yicai Huang, Jiayuan Chen, Qiannan Duan, Yunjin Feng, Run Luo, Wenjing Wang, Fenli Liu, Sifan Bi, Jianchao Lee, A fast antibiotic detection method for simplified pretreatment through spectra-based machine learning.Frontiers of Environmental Science & Engineering, 2022, 16(3): 38-50.

[3] Wenjing Wang, Run Luo, Qiannan Duan, Yunjin Feng, Jiayuan Chen, Yicai Huang, Sifan Bi, Fenli Liu, Jianchao Lee, Direct quantification of mixed organic acids based on spectral image with deep learning. ChemistrySelect, 2021, 6: 3540-3547.

[4] Qiannan Duan, Zhaoyi Xu, Shourong Zheng, Jiayuan Chen, Yunjin Feng, Luo Run, Jianchao Lee, Machine learning based on holographic scattering spectrum for mixed pollutants analysis, Analytica Chimica Acta, 2021, 1143: 298-305.

[5] Qiannan Duan, Jianchao Lee, Fast-developing machine learning supports complex system research in environmental chemistry, New Journal of Chemistry, 2020, 44(4): 1179-1184.

[6] Qiannan Duan, Jianchao Lee, Shourong Zheng, Jiayuan Chen, Run Luo, Yunjin Feng, Zhaoyi Xu, A color-spectral machine learning path for analysis offive mixed amino acids, Chemical Communications, 2020, 56(7): 1058-1061.

[7] Qiannan Duan, Yuan Hu, Shourong Zheng, Jianchao Lee, Jiayuan Chen, Sifan Bi, Zhaoyi Xu, Machine learning for mixture toxicity analysis based on high-throughput printing technology, Talanta, 2020, 207: 1-8.

[8] Qianqi Yang, Zhiyuan, Xiaoming Lu, Qiannan Duan, Lei Huang, Jun Bi, A review of soil heavy metal pollution from industrial and agricultural regions in China: pollution and risk assessment. Science of the Total Environment. 2018, 642(15): 690-700.

[9] Qiannan Duan, Jianchao Lee, Yansong Liu, Han Chen, Huanyu Hu. Distribution of heavy metal pollution in surface soil samples in China: a graphical review, Bulletin of Environmental Contamination and Toxicology, 2016, 97(3): 303-309.