食品营养与安全系

[1] Zheng F; Zhao X; Zeng Z; Wang L; Lv W; Wang Q; Xu G*, Development of a plasma pseudotargeted metabolomics method based on ultra-high-performance liquid chromatography–mass spectrometry[J]. Nature protocols, 2020: 1-19.

[2] Zheng F; You L; Qin W; Ouyang R; Lv W; Guo L; Lu X; Li E; Zhao X*; Xu G*, MetEx: A Targeted Extraction Strategy for Improving the Coverage and Accuracy of Metabolite Annotation in Liquid Chromatography–High-Resolution Mass Spectrometry Data[J]. Analytical Chemistry, 2022, 94(24): 8561-8569.

[3] Zheng F#; Yang F#; Xie X; Yang Y; Cao N; Ni D; Wang X; Lu X; Yu D; Liu X; Wang L*; Xu G*, Construction of Chinese baijiu compound database using text mining and its application in assisting compound identification of liquid chromatography-high-resolution mass spectrometry data[J]. Journal of Food Composition and Analysis, 2023: 105523.


郑福建
特聘副研究员
院系:食品营养与安全系
招生方向:制药工程学(学硕),生物与医药(专硕)
实验室:
电子邮箱:zhengfj@cpu.edu.cn
办公室:实训楼202
个人简介

郑福建,博士,中国药科大学工学院特聘副研究员,硕士研究生导师。2016年毕业于清华大学,获得理学学士学位。2024年毕业于中国科学院大连化学物理研究所,获得理学博士学位。自20245月任职于中国药科大学,研究方向为基于色谱-质谱联用技术的代谢组学技术开发及其在食品营养与安全中的应用。迄今为止,在Nature ProtocolsAnalytical Chemistry等期刊上发表了多篇论文。

研究方向

基于色谱-质谱联用技术的代谢组学检测与数据处理方法开发

基于组学与人工智能的食品营养与代谢模型、食品品质判别模型、食品安全风险评估模型的构建


承担项目情况

中国药科大学高层次人才启动经费,20245-20305月,100万

代表性科研成果

[1] Zheng F; Zhao X; Zeng Z; Wang L; Lv W; Wang Q; Xu G*, Development of a plasma pseudotargeted metabolomics method based on ultra-high-performance liquid chromatography–mass spectrometry[J]. Nature protocols, 2020: 1-19.

[2] Zheng F; You L; Qin W; Ouyang R; Lv W; Guo L; Lu X; Li E; Zhao X*; Xu G*, MetEx: A Targeted Extraction Strategy for Improving the Coverage and Accuracy of Metabolite Annotation in Liquid Chromatography–High-Resolution Mass Spectrometry Data[J]. Analytical Chemistry, 2022, 94(24): 8561-8569.

[3] Zheng F#; Yang F#; Xie X; Yang Y; Cao N; Ni D; Wang X; Lu X; Yu D; Liu X; Wang L*; Xu G*, Construction of Chinese baijiu compound database using text mining and its application in assisting compound identification of liquid chromatography-high-resolution mass spectrometry data[J]. Journal of Food Composition and Analysis, 2023: 105523.