厦门大学平台管理系统刘国坤课题组--刘国坤课题组--首页

团队介绍

环境物理化学课题组现有组员16人，由环境与生态学院、化学化工学院、萨本栋微米纳米科学技术研究院等学院学生组成，多学科交叉融合。课题组承担多项国家、省和市级科研项目。聚焦前沿科学的同时服务实际应用，在2015年天津港大爆炸的后续处理、2017年厦门金砖会晤和2022年冬奥会的食品安保中提供了重要技术支撑，相关工...

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团队成员

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获奖信息

2019年度国家自然科学奖二等奖

常用链接厦门大学环境与生态学院近海海洋环境科学国家重点实验室

论文成果

研究方向

Si-Qi Pan, Ping Luo, Qiuting Huang, Jinjuan Xue, Xiang-Dong Tian, Bin Xu, Jianfeng Wu, Jia Chen, Jianwei Xie*, Na Yang*, Xia-Guang Zhang*, Zhong-Qun Tian*, and Guo-Kun Liu*, Spontaneous Catalytic Reaction of a Surfactant in the Interfacial Microenvironment of Colloidal Gold Nanoparticles, J. Am. Chem. Soc. 2025, XX, XXX-XXX. Jun Yi, En-Ming You, Ren Hu, De-Yin Wu, Guo-Kun Liu, Zhong-Qun Tian* et al., Surface-enhanced Raman spectroscopy: a half-century historical perspective, Chem. Soc. Rev. 2025, XX, XX.. Jun Yi, En-Ming You, Guo-Kun Liu, and Zhong-Qun Tian*, AI–nano-driven surface-enhanced Raman spectroscopy for marketable technologies, Nature Nanotechnology, 2024, 19, 1758–1762. Xiaxia Yue, Sen Yan, Tianchu Gao, Shuhuan Pu, Hui Tang, Xindi Pei, Zhongqun Tian, Xiang Wang*, Bin Ren*, and Guokun Liu*, SERS Performance Factor: A Convenient Parameter for the Enhancement Evaluation of SERS Substrates, Anal. Chem. 2024, 96, 44, 17517–17525. Xiao-Han Xi, Yun Zhang, Sen Yan, Ping-Shi Wang, Hao Ma, Meng Ren, Guo-Kun Liu, Yong Lei*, Bin Ren, and Xiang Wang*, Rapid and Accurate Identification of Dyes on Ancient Textiles by SERS With a Negligibly Invasive Approach, J. Raman Spec. 2024, 55,1281-1288. Qiuting Huang, Haoyu Guo, Hongbo Gong, Weiye Hu, Hao Ma, Bin Ren, Zhongqun Tian*, and Guokun Liu*.Unveiling Electrostatic Interaction Modulated Sensitive and Selective SERS Detection for Negatively Charged Molecules. J. Phys. Chem. Lett. 2024, 15, 36, 9144–9152.. Weili Wang, Hao Ma, Qiuting Huang, Siheng Luo, Bin Ren, Zhongqun Tian, Guokun Liu*. Unveiling the exceptional evolution of solute aggregates: From micro to trace, solution to interface. Aggregate 2024, 5, 5, e589..

表面增强拉曼光谱（Surface-enhanced Raman Spectroscopy, SERS）人工智能（Artificial Intelligence）仪器研发（Instrument）

专利成果

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一种SERS检测的样品前处理方法一种拉曼光谱弱信号提取的后处理方法一种针对单张高光谱成像的深度学习去噪方法一种基于随机森林提高谱学分析可信度的可视化方法及装置基于自监督的单张图像去噪方法、装置及可读介质一种动态表面增强拉曼光谱检测方法一种乌头碱类植物毒素的定性定量检测方法